mmselfsup/configs/selfsup/barlowtwins/metafile.yml

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YAML

Collections:
- Name: BarlowTwins
Metadata:
Training Data: ImageNet-1k
Training Techniques:
- LARS
Training Resources: 8x A100 GPUs
Architecture:
- ResNet
- BarlowTwins
Paper:
URL: https://arxiv.org/abs/2103.03230
Title: "Barlow Twins: Self-Supervised Learning via Redundancy Reduction"
README: configs/selfsup/barlowtwins/README.md
Models:
- Name: barlowtwins_resnet50_8xb256-coslr-300e_in1k
In Collection: BarlowTwins
Metadata:
Epochs: 300
Batch Size: 2048
Results:
- Task: Self-Supervised Image Classification
Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 71.66
Config: configs/selfsup/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k.py
Weights: https://download.openmmlab.com/mmselfsup/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k_20220419-5ae15f89.pth