Collections: - Name: RIFormer Metadata: Training Data: ImageNet-1k Training Resources: 8x A100 GPUs Architecture: - Affine - 1x1 Convolution - LayerScale Paper: URL: https://arxiv.org/abs/xxxx.xxxxx Title: "RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer" README: configs/riformer/README.md Code: Version: v1.0.0rc7 URL: null Models: - Name: riformer-s12_in1k Metadata: FLOPs: 1822000000 Parameters: 11915000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 76.90 Top 5 Accuracy: 93.06 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s12_32xb128_in1k_20230406-6741ce71.pth Config: configs/riformer/riformer-s12_8xb128_in1k.py - Name: riformer-s24_in1k Metadata: Training Data: ImageNet-1k FLOPs: 3412000000 Parameters: 21389000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 80.28 Top 5 Accuracy: 94.80 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s24_32xb128_in1k_20230406-fdab072a.pth Config: configs/riformer/riformer-s24_8xb128_in1k.py - Name: riformer-s36_in1k Metadata: FLOPs: 5003000000 Parameters: 30863000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 81.29 Top 5 Accuracy: 95.41 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s36_32xb128_in1k_20230406-fdfcd3b0.pth Config: configs/riformer/riformer-s36_8xb128_in1k.py - Name: riformer-m36_in1k Metadata: Training Data: ImageNet-1k FLOPs: 8801000000 Parameters: 56173000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 82.57 Top 5 Accuracy: 95.99 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m36_32xb128_in1k_20230406-2fcb9d9b.pth Config: configs/riformer/riformer-m36_8xb128_in1k.py - Name: riformer-m48_in1k Metadata: FLOPs: 11590000000 Parameters: 73473000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 82.75 Top 5 Accuracy: 96.11 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m48_32xb128_in1k_20230406-2b9d1abf.pth Config: configs/riformer/riformer-m48_8xb64_in1k.py - Name: riformer-s12_in1k-384 Metadata: FLOPs: 5355000000 Parameters: 11915000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 78.29 Top 5 Accuracy: 93.93 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s12_32xb128_in1k-384px_20230406-145eda4c.pth Config: configs/riformer/riformer-s12_8xb128_in1k-384px.py - Name: riformer-s24_in1k-384 Metadata: Training Data: ImageNet-1k FLOPs: 10028000000 Parameters: 21389000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 81.36 Top 5 Accuracy: 95.40 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s24_32xb128_in1k-384px_20230406-bafae7ab.pth Config: configs/riformer/riformer-s24_8xb128_in1k-384px.py - Name: riformer-s36_in1k-384 Metadata: FLOPs: 14702000000 Parameters: 30863000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 82.22 Top 5 Accuracy: 95.95 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-s36_32xb128_in1k-384px_20230406-017ed3c4.pth Config: configs/riformer/riformer-s36_8xb64_in1k-384px.py - Name: riformer-m36_in1k-384 Metadata: Training Data: ImageNet-1k FLOPs: 25865000000 Parameters: 56173000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 83.39 Top 5 Accuracy: 96.40 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m36_32xb128_in1k-384px_20230406-66a6f764.pth Config: configs/riformer/riformer-m36_8xb64_in1k-384px.py - Name: riformer-m48_in1k-384 Metadata: FLOPs: 34060000000 Parameters: 73473000 In Collection: RIFormer Results: - Dataset: ImageNet-1k Metrics: Top 1 Accuracy: 83.70 Top 5 Accuracy: 96.60 Task: Image Classification Weights: https://download.openmmlab.com/mmclassification/v1/riformer/riformer-m48_32xb128_in1k-384px_20230406-2e874826.pth Config: configs/riformer/riformer-m48_8xb64_in1k-384px.py