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Shanghua Gao 6cb7fe0c51
Imagenet-s dataset for large-scale semantic segmentation (#2480) 
## Motivation

Based on the ImageNet dataset, we propose the ImageNet-S dataset has 1.2 million training images and 50k high-quality semantic segmentation annotations to support unsupervised/semi-supervised semantic segmentation on the ImageNet dataset.

paper:
Large-scale Unsupervised Semantic Segmentation (TPAMI 2022)
[Paper link](https://arxiv.org/abs/2106.03149)

## Modification

1. Support imagenet-s dataset and its' configuration
2. Add the dataset preparation in the documentation
2023-01-16 16:42:19 +08:00
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Imagenet-s dataset for large-scale semantic segmentation (#2480)
2023-01-16 16:42:19 +08:00
zh_cn
Imagenet-s dataset for large-scale semantic segmentation (#2480)
2023-01-16 16:42:19 +08:00