Papers › SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
We present SlowFast networks for video recognition. Our model involves (i) a Slow pathway, operating at low frame rate, to capture spatial semantics, and (ii) a Fast pathway, operating at high frame rate, to capture motion at fine temporal resolution. The Fast pathway can be made very lightweight by reducing its channel capacity, yet can learn useful temporal information for video recognition. Our models achieve strong performance for both action classification and detection in video, and large improvements are pin-pointed as contributions by our SlowFast concept. We report state-of-the-art accuracy on major video recognition benchmarks, Kinetics, Charades and AVA. Code has been made available at: https://github.com/facebookresearch/SlowFast
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Action Classification | Charades | SlowFast (Kinetics-600 pretraining, NL) | MAP | 45.2 | #18 of 49 | Archive leaderboard | report |
| Action Classification | Charades | SlowFast (Kinetics-400 pretraining, NL) | MAP | 42.5 | #26 of 49 | Archive leaderboard | report |
| Action Classification | Charades | SlowFast (Kinetics-600 pretraining) | MAP | 42.1 | #27 of 49 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 16x8 (ResNet-101 + NL) | Acc@1 | 79.8 | #105 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 16x8 (ResNet-101) | Acc@1 | 78.9 | #121 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 16x8 (ResNet-101) | Acc@5 | 93.5 | #121 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 8x8 (ResNet-101) | Acc@1 | 77.9 | #131 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 8x8 (ResNet-101) | Acc@5 | 93.2 | #131 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 8x8 (ResNet-50) | Acc@1 | 77 | #145 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 8x8 (ResNet-50) | Acc@5 | 92.6 | #145 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 4x16 (ResNet-50) | Acc@1 | 75.6 | #155 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 4x16 (ResNet-50) | Acc@5 | 92.1 | #155 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-400 | SlowFast 16x8 (ResNet-101 + NL) | Acc@5 | 93.9 | #205 of 207 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 16x8 (ResNet-101 + NL) | Top-1 Accuracy | 81.8 | #46 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 16x8 (ResNet-101 + NL) | Top-5 Accuracy | 95.1 | #46 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 16x8 (ResNet-101) | Top-1 Accuracy | 81.1 | #49 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 16x8 (ResNet-101) | Top-5 Accuracy | 95.1 | #49 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 8x8 (ResNet-101) | Top-1 Accuracy | 80.4 | #51 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 8x8 (ResNet-101) | Top-5 Accuracy | 94.8 | #51 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 8x8 (ResNet-50) | Top-1 Accuracy | 79.9 | #52 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 8x8 (ResNet-50) | Top-5 Accuracy | 94.5 | #52 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 4x16 (ResNet-50) | Top-1 Accuracy | 78.8 | #54 of 65 | Archive leaderboard | report |
| Action Classification | Kinetics-600 | SlowFast 4x16 (ResNet-50) | Top-5 Accuracy | 94 | #54 of 65 | Archive leaderboard | report |
| Action Recognition | AVA v2.1 | SlowFast++ (Kinetics-600 pretraining, NL) | mAP (Val) | 28.3 | #4 of 15 | Archive leaderboard | report |
| Action Recognition | AVA v2.1 | SlowFast (Kinetics-600 pretraining, NL) | mAP (Val) | 27.3 | #7 of 15 | Archive leaderboard | report |
| Action Recognition | AVA v2.1 | SlowFast (Kinetics-600 pretraining) | mAP (Val) | 26.8 | #8 of 15 | Archive leaderboard | report |
| Action Recognition | AVA v2.1 | SlowFast (Kinetics-400 pretraining) | mAP (Val) | 26.3 | #9 of 15 | Archive leaderboard | report |
| Action Recognition | AVA v2.2 | SlowFast, 16x8 R101+NL (Kinetics-600 pretraining) | mAP | 27.5 | #29 of 38 | Archive leaderboard | report |
| Action Recognition | AVA v2.2 | SlowFast, 8x8 R101+NL (Kinetics-600 pretraining) | mAP | 27.1 | #31 of 38 | Archive leaderboard | report |
| Action Recognition | AVA v2.2 | SlowFast, 8x8, R101 (Kinetics-400 pretraining) | mAP | 23.8 | #37 of 38 | Archive leaderboard | report |
| Action Recognition | AVA v2.2 | SlowFast, 4x16, R50 (Kinetics-400 pretraining) | mAP | 21.9 | #38 of 38 | Archive leaderboard | report |
| Action Recognition | Diving-48 | SlowFast | Accuracy | 77.6 | #17 of 18 | Archive leaderboard | report |
| Action Recognition | H2O (2 Hands and Objects) | SlowFast | Actions Top-1 | 77.69 | #9 of 11 | Archive leaderboard | report |
| Action Recognition | H2O (2 Hands and Objects) | SlowFast | Hand Pose | No | #9 of 11 | Archive leaderboard | report |
| Action Recognition | H2O (2 Hands and Objects) | SlowFast | Object Label | No | #9 of 11 | Archive leaderboard | report |
| Action Recognition | H2O (2 Hands and Objects) | SlowFast | Object Pose | No | #9 of 11 | Archive leaderboard | report |
| Action Recognition | H2O (2 Hands and Objects) | SlowFast | RGB | Yes | #9 of 11 | Archive leaderboard | report |
| Action Recognition | Something-Something V2 | SlowFast | Top-1 Accuracy | 61.7 | #108 of 123 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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