awesome-cbir-papers/README.md

## Awesome image retrieval papers

#### Local Feature Based

- [Object retrieval with large vocabularies and fast spatial matching](https://www.robots.ox.ac.uk/~vgg/publications/papers/philbin07.pdf)
- [Visual Categorization with Bags of Keypoints](http://www.cs.princeton.edu/courses/archive/fall09/cos429/papers/csurka-eccv-04.pdf)
- [ORB: an efficient alternative to SIFT or SURF](https://www.willowgarage.com/sites/default/files/orb_final.pdf)
- [Object Recognition from Local Scale-Invariant Features](http://www.cs.ubc.ca/~lowe/papers/iccv99.pdf)
- [Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval](https://www.robots.ox.ac.uk/~vgg/publications/papers/philbin07.pdf)
- [Three things everyone should know to improve object retrieval](https://www.robots.ox.ac.uk/~vgg/publications/2012/Arandjelovic12/arandjelovic12.pdf)
- [On-the-fly learning for visual search of large-scale image and video datasets](https://www.robots.ox.ac.uk/~vgg/publications/2015/Chatfield15/chatfield15.pdf)
- [All about VLAD]()
- [Aggregating localdescriptors into a compact image representatio]()
- [More About VLAD: A Leap from Euclidean to Riemannian Manifolds]()
- [Hamming embedding and weak geometric consistency for large scale image search]()
- [Revisiting the VLAD image representation](https://hal.inria.fr/hal-00840653v1/document), [project](https://github.com/jorjasso/VLAD/blob/master/VLADlib/VLAD.py)
- [Improving the Fisher Kernel for Large-Scale Image Classification](https://www.robots.ox.ac.uk/~vgg/rg/papers/peronnin_etal_ECCV10.pdf)
- [Image Classification with the Fisher Vector: Theory and Practice](https://hal.inria.fr/hal-00830491/document)
- [Democratic Diffusion Aggregation for ImageRetrieval]()
- [A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval]()
- [Triangulation embedding and democratic aggregation for image search]()

#### Deep Learning Feature (Global Feature)

- [Deep Image Retrieval:Learning Global Representations for Image earch](https://arxiv.org/abs/1604.01325)
- [End-to-end Learning of Deep Visual Representations for Image retrieval](), DIR更详细的论文说明
- [What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?](), 关于layer选取的问题
- [Bags of Local Convolutional Features for Scalable Instance Search](https://arxiv.org/abs/1604.01325)
- [Faster R-CNN Features for Instance Search](https://github.com/imatge-upc/retrieval-2016-deepvision)
- [Cross-dimensional Weighting for Aggregated Deep Convolutional Features](https://arxiv.org/abs/1512.04065), [project](https://github.com/yahoo/crow)
- [Class-Weighted Convolutional Features for Image Retrieval](https://github.com/imatge-upc/retrieval-2017-cam)
- [Multi-Scale Orderless Pooling of Deep Convolutional Activation Features](), VLAD coding
- [Aggregating Deep Convolutional Features for Image Retrieval](https://arxiv.org/abs/1510.07493), [论文笔记](https://zhuanlan.zhihu.com/p/23136747), [基于深度学习的视觉实例搜索研究进展](https://zhuanlan.zhihu.com/p/22265265).
- [Particular object retrieval with integral max-pooling of CNN activations](https://arxiv.org/abs/1511.05879), [project](http://cmp.felk.cvut.cz/~toliageo/soft.html)
- [Particular object retrieval using CNN](https://github.com/AaltoVision/Object-Retrieval)
- [Learning to Match Aerial Images with Deep Attentive Architectures](https://vision.cornell.edu/se3/wp-content/uploads/2016/04/1204.pdf).
- [Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval](https://arxiv.org/pdf/1702.00338v1.pdf)
- [Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval](http://ceur-ws.org/Vol-1653/paper_19.pdf), fv和cnn特征融合提升
- [Selective Deep Convolutional Features for Image Retrieval](https://arxiv.org/pdf/1707.00809v1.pdf)
- [Class-Weighted Convolutional Features for Image Retrieval](https://github.com/imatge-upc/retrieval-2017-cam)
- [Towards Good Practices for Image Retrieval Based on CNN Features]()
- [Fine-tuning CNN Image Retrieval with No Human Annotation](https://arxiv.org/abs/1711.02512)

#### Deep Learning Feature (Local Feature)

- [Learning Discriminative Affine Regions via Discriminability](http://cn.arxiv.org/pdf/1711.06704.pdf), [affnet](https://github.com/ducha-aiki/affnet)
- [A Large Dataset for Improving Patch Matching](http://cn.arxiv.org/pdf/1801.01466.pdf), [PS-Dataset](https://github.com/rmitra/PS-Dataset)
- [Working hard to know your neighbor's margins: Local descriptor learning loss](), [hardnet](https://github.com/DagnyT/hardnet)
- [MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching](), [matchnet](https://github.com/hanxf/matchnet)

#### ANN search

- [Practical and Optimal LSH for Angular Distance](chrome-extension://ikhdkkncnoglghljlkmcimlnlhkeamad/pdf-viewer/web/viewer.html?file=http%3A%2F%2Fpapers.nips.cc%2Fpaper%2F5893-practical-and-optimal-lsh-for-angular-distance.pdf)
- [pq-fast-scan](https://github.com/technicolor-research/pq-fast-scan)
- [faiss](https://github.com/facebookresearch/faiss). A library for efficient similarity search and clustering of dense vectors.
- [Polysemous codes]()
- [Optimized Product Quantization](http://kaiminghe.com/cvpr13/index.html)
- [lopq](https://github.com/yahoo/lopq). Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
- [nns_benchmark](https://github.com/DBWangGroupUNSW/nns_benchmark). Benchmark of Nearest Neighbor Search on High Dimensional Data.
- [Optimized Product Quantization](http://kaiminghe.com/cvpr13/index.html)
- [Falconn](https://github.com/FALCONN-LIB/FALCONN). FAst Lookups of Cosine and Other Nearest Neighbors.
- [Annoy](https://github.com/spotify/annoy). Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk 
- [NMSLIB](https://github.com/searchivarius/nmslib). Non-Metric Space Library (NMSLIB): A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
- [Fast Approximate Nearest Neighbor Search With Navigating Spreading-out Graphs](https://arxiv.org/abs/1707.00143), [code](https://github.com/ZJULearning/nsg)

#### CBIR in Industry

- [Visual Search at Pinterest]()
- [Visual Discovery at Pinterest]()
- [Visual Search at ebay]()
- [Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce](https://arxiv.org/abs/1703.02344), [project](https://github.com/flipkart-incubator/fk-visual-search)

#### CBIR for Duplicate(copy) detection

- [A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&cad=rja&uact=8&ved=0ahUKEwiisbW0maXYAhXLOY8KHUw0AEsQFgg7MAI&url=https%3A%2F%2Fpdfs.semanticscholar.org%2F7b4f%2F68e227999da8ffc6dc9f7fd34da5ebaad09f.pdf&usg=AOvVaw0mZvcT7VhEuEm68oieXLv-)

#### Feature fusion

- [Feature fusion using Canonical Correlation Analysis](https://github.com/mhaghighat/ccaFuse)

#### Feature Matching

- [Image Matching Benchmark](https://arxiv.org/pdf/1709.03917.pdf)
- [GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence](https://github.com/JiawangBian/GMS-Feature-Matcher)
- [A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval](https://github.com/vote-and-verify/vote-and-verify)
- [CODE: Coherence Based Decision Boundaries for Feature Correspondence]()
- [Robust feature matching in 2.3µs](https://www.edwardrosten.com/work/taylor_2009_robust.pdf)
- [PopSift is an implementation of the SIFT algorithm in CUDA](https://github.com/alicevision/popsift)
- [openMVG robust_estimation](https://github.com/openMVG/openMVG/tree/e3a0bde5e9c676d1cb663a38f7e74c771324d69a/src/openMVG/robust_estimation)

#### Plan to read

- [VisualRank: Applying PageRank to Large-Scale Image Search]()

### Tutorials

- [Recent Image Search Techniques](http://cvpr2016.thecvf.com/program/tutorials)
- [Compact Features for Visual Search](http://cvpr2016.thecvf.com/program/tutorials)
- [multimedia-indexing](https://github.com/MKLab-ITI/multimedia-indexing). A framework for large-scale feature extraction, indexing and retrieval.

### Useful Package

- [VLFeat](http://www.vlfeat.org/)
- [Yael](http://yael.gforge.inria.fr/)
Update README.md 2016-11-06 23:28:06 +08:00			`## Awesome image retrieval papers`

Update README.md 2016-12-13 18:55:39 +08:00			`#### Local Feature Based`

Update README.md 2016-12-19 23:49:56 +08:00			`- [Object retrieval with large vocabularies and fast spatial matching](https://www.robots.ox.ac.uk/~vgg/publications/papers/philbin07.pdf)`
			`- [Visual Categorization with Bags of Keypoints](http://www.cs.princeton.edu/courses/archive/fall09/cos429/papers/csurka-eccv-04.pdf)`
			`- [ORB: an efficient alternative to SIFT or SURF](https://www.willowgarage.com/sites/default/files/orb_final.pdf)`
			`- [Object Recognition from Local Scale-Invariant Features](http://www.cs.ubc.ca/~lowe/papers/iccv99.pdf)`
Update README.md 2017-03-01 20:28:05 +08:00			`- [Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval](https://www.robots.ox.ac.uk/~vgg/publications/papers/philbin07.pdf)`
Update README.md 2017-03-02 10:19:00 +08:00			`- [Three things everyone should know to improve object retrieval](https://www.robots.ox.ac.uk/~vgg/publications/2012/Arandjelovic12/arandjelovic12.pdf)`
Update README.md 2017-03-02 10:19:50 +08:00			`- [On-the-fly learning for visual search of large-scale image and video datasets](https://www.robots.ox.ac.uk/~vgg/publications/2015/Chatfield15/chatfield15.pdf)`
new paper 2017-10-07 10:44:45 +08:00			`- [All about VLAD]()`
			`- [Aggregating localdescriptors into a compact image representatio]()`
			`- [More About VLAD: A Leap from Euclidean to Riemannian Manifolds]()`
new papers 2017-11-21 09:16:57 +08:00			`- [Hamming embedding and weak geometric consistency for large scale image search]()`
new paper 2017-10-07 10:44:45 +08:00			`- [Revisiting the VLAD image representation](https://hal.inria.fr/hal-00840653v1/document), [project](https://github.com/jorjasso/VLAD/blob/master/VLADlib/VLAD.py)`
			`- [Improving the Fisher Kernel for Large-Scale Image Classification](https://www.robots.ox.ac.uk/~vgg/rg/papers/peronnin_etal_ECCV10.pdf)`
			`- [Image Classification with the Fisher Vector: Theory and Practice](https://hal.inria.fr/hal-00830491/document)`
new papers 2017-11-21 09:16:57 +08:00			`- [Democratic Diffusion Aggregation for ImageRetrieval]()`
			`- [A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval]()`
Update README.md 2017-11-27 09:04:22 +08:00			`- [Triangulation embedding and democratic aggregation for image search]()`
Update README.md 2016-12-13 18:55:39 +08:00
new papers 2018-01-25 11:03:23 +08:00			`#### Deep Learning Feature (Global Feature)`
Update README.md 2016-12-13 18:55:39 +08:00
Update README.md 2016-12-19 23:49:56 +08:00			`- [Deep Image Retrieval:Learning Global Representations for Image earch](https://arxiv.org/abs/1604.01325)`
Update README.md 2017-05-04 09:28:58 +08:00			`- [End-to-end Learning of Deep Visual Representations for Image retrieval](), DIR更详细的论文说明`
			`- [What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?](), 关于layer选取的问题`
Update README.md 2016-12-19 23:49:56 +08:00			`- [Bags of Local Convolutional Features for Scalable Instance Search](https://arxiv.org/abs/1604.01325)`
			`- [Faster R-CNN Features for Instance Search](https://github.com/imatge-upc/retrieval-2016-deepvision)`
			`- [Cross-dimensional Weighting for Aggregated Deep Convolutional Features](https://arxiv.org/abs/1512.04065), [project](https://github.com/yahoo/crow)`
new cbir paper added 2017-07-12 14:11:12 +08:00			`- [Class-Weighted Convolutional Features for Image Retrieval](https://github.com/imatge-upc/retrieval-2017-cam)`
Update README.md 2017-05-04 09:28:58 +08:00			`- [Multi-Scale Orderless Pooling of Deep Convolutional Activation Features](), VLAD coding`
Update README.md 2017-01-17 23:18:29 +08:00			`- [Aggregating Deep Convolutional Features for Image Retrieval](https://arxiv.org/abs/1510.07493), [论文笔记](https://zhuanlan.zhihu.com/p/23136747), [基于深度学习的视觉实例搜索研究进展](https://zhuanlan.zhihu.com/p/22265265).`
Update README.md 2017-06-03 17:33:53 +08:00			`- [Particular object retrieval with integral max-pooling of CNN activations](https://arxiv.org/abs/1511.05879), [project](http://cmp.felk.cvut.cz/~toliageo/soft.html)`
			`- [Particular object retrieval using CNN](https://github.com/AaltoVision/Object-Retrieval)`
			`- [Learning to Match Aerial Images with Deep Attentive Architectures](https://vision.cornell.edu/se3/wp-content/uploads/2016/04/1204.pdf).`
new paper 2017-02-04 23:00:49 +08:00			`- [Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval](https://arxiv.org/pdf/1702.00338v1.pdf)`
Update README.md 2017-06-02 09:51:01 +08:00			`- [Combining Fisher Vector and Convolutional Neural Networks for Image Retrieval](http://ceur-ws.org/Vol-1653/paper_19.pdf), fv和cnn特征融合提升`
new cbir paper added 2017-07-12 14:11:12 +08:00			`- [Selective Deep Convolutional Features for Image Retrieval](https://arxiv.org/pdf/1707.00809v1.pdf)`
Update README.md 2017-07-13 09:20:43 +08:00			`- [Class-Weighted Convolutional Features for Image Retrieval](https://github.com/imatge-upc/retrieval-2017-cam)`
Update README.md 2017-11-02 21:42:46 +08:00			`- [Towards Good Practices for Image Retrieval Based on CNN Features]()`
new papers 2017-11-21 09:16:57 +08:00			`- [Fine-tuning CNN Image Retrieval with No Human Annotation](https://arxiv.org/abs/1711.02512)`
Update README.md 2016-11-06 23:28:06 +08:00
new papers 2018-01-25 11:03:23 +08:00			`#### Deep Learning Feature (Local Feature)`

			`- [Learning Discriminative Affine Regions via Discriminability](http://cn.arxiv.org/pdf/1711.06704.pdf), [affnet](https://github.com/ducha-aiki/affnet)`
			`- [A Large Dataset for Improving Patch Matching](http://cn.arxiv.org/pdf/1801.01466.pdf), [PS-Dataset](https://github.com/rmitra/PS-Dataset)`
			`- [Working hard to know your neighbor's margins: Local descriptor learning loss](), [hardnet](https://github.com/DagnyT/hardnet)`
			`- [MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching](), [matchnet](https://github.com/hanxf/matchnet)`

Update README.md 2017-03-08 09:32:01 +08:00			`#### ANN search`
Update README.md 2017-01-04 11:37:50 +08:00
			`- [Practical and Optimal LSH for Angular Distance](chrome-extension://ikhdkkncnoglghljlkmcimlnlhkeamad/pdf-viewer/web/viewer.html?file=http%3A%2F%2Fpapers.nips.cc%2Fpaper%2F5893-practical-and-optimal-lsh-for-angular-distance.pdf)`
Update README.md 2017-02-06 09:28:45 +08:00			`- [pq-fast-scan](https://github.com/technicolor-research/pq-fast-scan)`
Update README.md 2017-03-08 09:32:01 +08:00			`- [faiss](https://github.com/facebookresearch/faiss). A library for efficient similarity search and clustering of dense vectors.`
new papers 2017-11-21 09:16:57 +08:00			`- [Polysemous codes]()`
add OPQ paper 2018-01-18 09:51:21 +08:00			`- [Optimized Product Quantization](http://kaiminghe.com/cvpr13/index.html)`
Update README.md 2017-03-08 09:32:01 +08:00			`- [lopq](https://github.com/yahoo/lopq). Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.`
			`- [nns_benchmark](https://github.com/DBWangGroupUNSW/nns_benchmark). Benchmark of Nearest Neighbor Search on High Dimensional Data.`
			`- [Optimized Product Quantization](http://kaiminghe.com/cvpr13/index.html)`
			`- [Falconn](https://github.com/FALCONN-LIB/FALCONN). FAst Lookups of Cosine and Other Nearest Neighbors.`
			`- [Annoy](https://github.com/spotify/annoy). Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk`
			`- [NMSLIB](https://github.com/searchivarius/nmslib). Non-Metric Space Library (NMSLIB): A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.`
ann search method 2018-01-31 15:26:00 +08:00			`- [Fast Approximate Nearest Neighbor Search With Navigating Spreading-out Graphs](https://arxiv.org/abs/1707.00143), [code](https://github.com/ZJULearning/nsg)`
Update README.md 2017-02-06 09:28:45 +08:00
add duplicate(copy) detection 2017-12-25 20:49:53 +08:00			`#### CBIR in Industry`
Update README.md 2017-05-23 09:04:11 +08:00
			`- [Visual Search at Pinterest]()`
			`- [Visual Discovery at Pinterest]()`
Update README.md 2017-09-20 12:06:57 +08:00			`- [Visual Search at ebay]()`
Update README.md 2017-10-24 23:28:10 +08:00			`- [Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce](https://arxiv.org/abs/1703.02344), [project](https://github.com/flipkart-incubator/fk-visual-search)`
Update README.md 2017-05-23 09:04:11 +08:00
add duplicate(copy) detection 2017-12-25 20:49:53 +08:00			`#### CBIR for Duplicate(copy) detection`

			`- [A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&cad=rja&uact=8&ved=0ahUKEwiisbW0maXYAhXLOY8KHUw0AEsQFgg7MAI&url=https%3A%2F%2Fpdfs.semanticscholar.org%2F7b4f%2F68e227999da8ffc6dc9f7fd34da5ebaad09f.pdf&usg=AOvVaw0mZvcT7VhEuEm68oieXLv-)`

Useful Package 2017-11-15 09:10:13 +08:00			`#### Feature fusion`
Update README.md 2017-02-06 09:28:45 +08:00
			`- [Feature fusion using Canonical Correlation Analysis](https://github.com/mhaghighat/ccaFuse)`
Update README.md 2017-01-04 11:37:50 +08:00
Update README.md 2017-09-20 12:06:57 +08:00			`#### Feature Matching`

Update README.md 2017-09-20 14:45:28 +08:00			`- [Image Matching Benchmark](https://arxiv.org/pdf/1709.03917.pdf)`
Update README.md 2017-12-01 09:06:50 +08:00			`- [GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence](https://github.com/JiawangBian/GMS-Feature-Matcher)`
Update README.md 2017-09-20 12:06:57 +08:00			`- [A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval](https://github.com/vote-and-verify/vote-and-verify)`
			`- [CODE: Coherence Based Decision Boundaries for Feature Correspondence]()`
Update README.md 2017-09-20 13:02:37 +08:00			`- [Robust feature matching in 2.3µs](https://www.edwardrosten.com/work/taylor_2009_robust.pdf)`
Update README.md 2017-09-20 12:06:57 +08:00			`- [PopSift is an implementation of the SIFT algorithm in CUDA](https://github.com/alicevision/popsift)`
			`- [openMVG robust_estimation](https://github.com/openMVG/openMVG/tree/e3a0bde5e9c676d1cb663a38f7e74c771324d69a/src/openMVG/robust_estimation)`

Update README.md 2016-11-06 23:31:08 +08:00			`#### Plan to read`

Update README.md 2016-12-19 23:49:56 +08:00			`- [VisualRank: Applying PageRank to Large-Scale Image Search]()`
Update README.md 2016-11-06 23:31:08 +08:00
Update README.md 2016-11-06 23:28:06 +08:00			`### Tutorials`

Update README.md 2016-12-19 23:49:56 +08:00			`- [Recent Image Search Techniques](http://cvpr2016.thecvf.com/program/tutorials)`
			`- [Compact Features for Visual Search](http://cvpr2016.thecvf.com/program/tutorials)`
Update README.md 2017-03-08 09:42:27 +08:00			`- [multimedia-indexing](https://github.com/MKLab-ITI/multimedia-indexing). A framework for large-scale feature extraction, indexing and retrieval.`
Useful Package 2017-11-15 09:10:13 +08:00
			`### Useful Package`

			`- [VLFeat](http://www.vlfeat.org/)`
			`- [Yael](http://yael.gforge.inria.fr/)`