mirror of
https://github.com/open-mmlab/mmselfsup.git
synced 2025-06-03 14:59:38 +08:00
38 lines
1.3 KiB
YAML
38 lines
1.3 KiB
YAML
Collections:
|
|
- Name: NPID
|
|
Metadata:
|
|
Training Data: ImageNet-1k
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- ResNet
|
|
- NPID
|
|
Paper:
|
|
URL: https://arxiv.org/abs/1805.01978
|
|
Title: "Unsupervised Feature Learning via Non-Parametric Instance Discrimination"
|
|
README: configs/selfsup/npid/README.md
|
|
|
|
Models:
|
|
- Name: npid_resnet50_8xb32-steplr-200e_in1k
|
|
In Collection: NPID
|
|
Metadata:
|
|
Epochs: 200
|
|
Batch Size: 256
|
|
Results: null
|
|
Config: configs/selfsup/npid/npid_resnet50_8xb32-steplr-200e_in1k.py
|
|
Weights: https://download.openmmlab.com/mmselfsup/1.x/npid/npid_resnet50_8xb32-steplr-200e_in1k/npid_resnet50_8xb32-steplr-200e_in1k_20220825-a67c5440.pth
|
|
Downstream:
|
|
- Type: Image Classification
|
|
Metadata:
|
|
Epochs: 100
|
|
Batch Size: 256
|
|
Results:
|
|
- Task: Linear Evaluation
|
|
Dataset: ImageNet-1k
|
|
Metrics:
|
|
Top 1 Accuracy: 58.3
|
|
Config: configs/benchmarks/classification/imagenet/resnet50_linear-8xb32-steplr-100e_in1k.py
|
|
Weights: https://download.openmmlab.com/mmselfsup/1.x/npid/npid_resnet50_8xb32-steplr-200e_in1k/resnet50_linear-8xb32-steplr-100e_in1k/resnet50_linear-8xb32-steplr-100e_in1k_20220825-661b736e.pth
|