Image Classification on WebVision mini (test)
82.6Top-1 AccJo-SNC
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Jo-SNCBackbone=IRNv22026.01 | 82.6 | 94.32 | — | |
| Jo-SNCBackbone=RN502026.01 | 82.32 | 93.68 | — | |
| CMW-Net-SL+C2DBackbone=RN502026.01 | 80.44 | 93.36 | — | |
| C2D-GMBackbone=RN502026.01 | 80.2 | 92.82 | — | |
| NCEBackbone=IRNv22026.01 | 79.5 | 93.8 | — | |
| DivideMix+C2DBackbone=RN502026.01 | 79.42 | 92.32 | — | |
| DivideMix-GMBackbone=RN502026.01 | 78.51 | 92.03 | — | |
| CMW-Net-SLBackbone=RN502026.01 | 78.08 | 92.96 | — | |
| ELR+Backbone=IRNv22026.01 | 77.78 | 91.68 | — | |
| UNICONBackbone=IRNv22026.01 | 77.6 | 93.44 | — | |
| DivideMixBackbone=IRNv22026.01 | 77.32 | 91.64 | — | |
| SOPBackbone=IRNv22026.01 | 76.6 | — | — | |
| DivideMixBackbone=RN502026.01 | 76.32 | 90.65 | — | |
| ELRBackbone=IRNv22026.01 | 76.26 | 91.26 | — | |
| CMW-NetBackbone=RN502026.01 | 70.56 | 88.76 | — | |
| MW-NetBackbone=RN502026.01 | 69.34 | 87.44 | — | |
| Interative-CVBackbone=IRNv22026.01 | 65.24 | 85.34 | — | |
| Co-teachingBackbone=IRNv22026.01 | 63.58 | 85.2 | — | |
| MentorNetBackbone=IRNv22026.01 | 63 | 81.4 | — | |
| D2LBackbone=IRNv22026.01 | 62.68 | 84 | — | |
| F-correctionBackbone=IRNv22026.01 | 61.12 | 82.68 | — | |
| CEPublication=-2025.08 | — | — | 66.28 | |
| CE-SEMPublication=Ours2025.08 | — | — | 67.83 | |
| CMW-NetPublication=IEEE TPAMI 20232025.08 | — | — | 70.56 | |
| DivideMixPublication=ICLR 20202025.08 | — | — | 76.32 | |
| GCEPublication=NeurIPS 20182025.08 | — | — | 61.84 | |
| JALPublication=ICCV 20252025.08 | — | — | 69.84 | |
| JAL-SEMPublication=Ours2025.08 | — | — | 77.06 | |
| Jo-SNCPublication=IEEE TPAMI 20252025.08 | — | — | 82.32 | |
| Jo-SNC-SEMPublication=Ours2025.08 | — | — | 83.44 | |
| MW-NetPublication=NeurIPS 20192025.08 | — | — | 69.34 |