| 1234567891011121314151617181920212223242526272829303132333435363738394041424344 |
- Collections:
- - Name: BarlowTwins
- Metadata:
- Training Data: ImageNet-1k
- Training Techniques:
- - LARS
- Training Resources: 8x A100 GPUs
- Architecture:
- - ResNet
- - BarlowTwins
- Paper:
- Title: 'Barlow Twins: Self-Supervised Learning via Redundancy Reduction'
- URL: https://arxiv.org/abs/2103.03230
- README: configs/barlowtwins/README.md
- Models:
- - Name: barlowtwins_resnet50_8xb256-coslr-300e_in1k
- Metadata:
- Epochs: 300
- Batch Size: 2048
- FLOPs: 4109364224
- Parameters: 174535744
- Training Data: ImageNet-1k
- In Collection: BarlowTwins
- Results: null
- Weights: https://download.openmmlab.com/mmselfsup/1.x/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k/barlowtwins_resnet50_8xb256-coslr-300e_in1k_20220825-57307488.pth
- Config: configs/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k.py
- Downstream:
- - resnet50_barlowtwins-pre_8xb32-linear-coslr-100e_in1k
- - Name: resnet50_barlowtwins-pre_8xb32-linear-coslr-100e_in1k
- Metadata:
- Epochs: 100
- Batch Size: 256
- FLOPs: 4109464576
- Parameters: 25557032
- Training Data: ImageNet-1k
- In Collection: BarlowTwins
- Results:
- - Task: Image Classification
- Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy: 71.8
- Weights: https://download.openmmlab.com/mmselfsup/1.x/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k/resnet50_linear-8xb32-coslr-100e_in1k/resnet50_linear-8xb32-coslr-100e_in1k_20220825-52fde35f.pth
- Config: configs/barlowtwins/benchmarks/resnet50_8xb32-linear-coslr-100e_in1k.py
|
