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HMDB-51 Benchmark (Action Recognition)
Action Recognition is a computer vision task that involves recognizing human actions in videos or images. The goal is to classify and categorize the actions being performed in the video or image into a predefined set of action classes.
In the video domain, it is an open question whether training an action classification network on a sufficiently large dataset, will give a similar boost in performance when applied to a different temporal task or dataset. The challenges of building video datasets has meant that most popular benchmarks for action recognition are small, having on the order of 10k videos.
Please note some benchmarks may be located in the Action Classification or Video Classification tasks, e.g. Kinetics-400.
The archive carries no text for this table; the description above is the archive's text for the task Action Recognition. archive 2025-07-28
Over time archive 2025-07-28
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Direction inferred from the metric name, not from the archive: Average accuracy of 3 splits (higher is better). Points are placed at the row's paper date; 77 of 77 rows carry one.
Results archive 2025-07-28
Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.
| Paper | Code | Ran Syntology | Report | |||||
|---|---|---|---|---|---|---|---|---|
| 1 | VideoMAE V2-g | 88.7 | ✓ | Paper | Code | 2023 | 2 of 6 ran · 4 unverified | report |
| 2 | DejaVid | 88.6 | ✓ | Paper | Code | 2025 | linked, not harvested | report |
| 3 | DEEP-HAL with ODF+SDF(I3D) | 87.56 | ✓ | Paper | – | 2020 | no code linked | report |
| 4 | TO+MaxExp+IDT | 87.21 | ✓ | Paper | – | 2021 | no code linked | report |
| 5 | SCK⊕(I3D)+IDT | 86.11 | ✓ | Paper | Code | 2020 | linked, not harvested | report |
| 6 | SO+MaxExp+IDT | 85.70 | ✓ | Paper | – | 2021 | no code linked | report |
| 7 | R2+1D-BERT | 85.10 | ✓ | Paper | Code | 2020 | linked, not harvested | report |
| 8 | Ours + ResNext101 BERT | 84.53 | – | Paper | Code | 2020 | linked, not harvested | report |
| 9 | SMART | 84.36 | – | Paper | – | 2020 | no code linked | report |
| 10 | OmniSource (SlowOnly-8x8-R101-RGB + I3D Flow) | 83.8 | ✓ | Paper | Code | 2020 | 0 of 13 ran · 13 unverified | report |
| 11 | ZeroI2V ViT-L/14 | 83.4 | ✓ | Paper | Code | 2023 | 1 of 3 ran · 2 unverified | report |
| 12 | PERF-Net (distilled S3D-G) | 83.2 | – | Paper | – | 2020 | no code linked | report |
| 13 | BIKE | 83.1 | ✓ | Paper | Code | 2022 | linked, not harvested | report |
| 14 | BubbleNET | 82.60 | ✓ | Paper | – | 2020 | no code linked | report |
| 15 | HAF+BoW/FV halluc | 82.48 | ✓ | Paper | – | 2019 | no code linked | report |
| 16 | CCS + TSN (ImageNet+Kinetics pretrained) | 81.9 | ✓ | Paper | – | 2019 | no code linked | report |
| 17 | RepFlow-50 ([2+1]D CNN, FcF, Non-local block) | 81.1 | – | Paper | Code | 2018 | linked, not harvested | report |
| 18 | Multi-stream I3D | 80.92 | – | Paper | – | 2019 | no code linked | report |
| 19 | MARS+RGB+FLow (64 frames, Kinetics pretrained) | 80.9 | ✓ | Paper | Code | 2019 | linked, not harvested | report |
| 20 | Two-stream I3D | 80.9 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report |
| 21 | Two-Stream I3D (Imagenet+Kinetics pre-training) | 80.7 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report |
| 22 | LGD-3D Two-stream | 80.5 | – | Paper | – | 2019 | no code linked | report |
| 23 | D3D + D3D | 80.5 | – | Paper | Code | 2018 | linked, not harvested | report |
| 24 | AMD(ViT-B/16) | 79.6 | ✓ | Paper | – | 2023 | no code linked | report |
| 25 | D3D (Kinetics-600 pretraining) | 79.3 | – | Paper | Code | 2018 | linked, not harvested | report |
| 26 | LGD-3D Flow | 78.9 | – | Paper | – | 2019 | no code linked | report |
| 27 | Hidden Two-Stream | 78.7 | – | Paper | Code | 2017 | linked, not harvested | report |
| 28 | R[2+1]D-TwoStream (Kinetics pretrained) | 78.7 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report |
| 29 | D3D (Kinetics-400 pretraining) | 78.7 | – | Paper | Code | 2018 | linked, not harvested | report |
| 30 | I3D RGB + DMC-Net (I3D) | 77.8 | – | Paper | – | 2019 | no code linked | report |
| 31 | BQN | 77.6 | – | Paper | Code | 2021 | linked, not harvested | report |
| 32 | MSNet-R50 (16 frames, ImageNet pretrained) | 77.4 | – | Paper | Code | 2020 | 3 of 8 ran · 5 unverified | report |
| 33 | Flow-I3D (Kinetics pre-training) | 77.3 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report |
| 34 | Flow-I3D (Imagenet+Kinetics pre-training) | 77.1 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report |
| 35 | HATNet (32 frames) | 76.5 | – | Paper | Code | 2019 | linked, not harvested | report |
| 36 | R[2+1]D-Flow (Kinetics pretrained) | 76.4 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report |
| 37 | S3D-G (ImageNet, Kinetics-400 pretrained) | 75.9 | – | Paper | Code | 2017 | linked, not harvested | report |
| 38 | FASTER32 (Kinetics pretrain) | 75.7 | ✓ | Paper | – | 2019 | no code linked | report |
| 39 | LGD-3D RGB | 75.7 | – | Paper | – | 2019 | no code linked | report |
| 40 | RGB-I3D (Imagenet+Kinetics pre-training) | 74.8 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report |
| 41 | R[2+1]D-RGB (Kinetics pretrained) | 74.5 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report |
| 42 | VidTr-L | 74.4 | – | Paper | – | 2021 | no code linked | report |
| 43 | ADL+ResNet+IDT | 74.3 | – | Paper | – | 2018 | no code linked | report |
| 44 | RGB-I3D (Kinetics pre-training) | 74.3 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report |
| 45 | Optical Flow Guided Feature | 74.2 | – | Paper | Code | 2017 | linked, not harvested | report |
| 46 | R[2+1D]D-TwoStream (Sports1M pretrained) | 72.7 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report |
| 47 | TVNet+IDT | 72.6 | – | Paper | Code | 2018 | 0 of 2 ran · 2 unverified | report |
| 48 | STM Network+IDT | 72.2 | – | Paper | Code | 2017 | linked, not harvested | report |
| 49 | Prob-Distill | 72.0 | – | Paper | – | 2019 | no code linked | report |
| 50 | DMC-Net (I3D) | 71.8 | – | Paper | – | 2019 | no code linked | report |
| 51 | TesNet (ImageNet pretrained) | 71.5 | – | Paper | – | 2020 | no code linked | report |
| 52 | HF-ECOLite (ImageNet+Kinetics pretrain) | 71.13 | ✓ | Paper | – | 2019 | no code linked | report |
| 53 | ARTNet w/ TSN | 70.9 | – | Paper | Code | 2017 | linked, not harvested | report |
| 54 | ST-ResNet + IDT | 70.3 | – | Paper | Code | 2016 | linked, not harvested | report |
| 55 | R[2+1]D-Flow (Sports1M pretrained) | 70.1 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report |
| 56 | Temporal Segment Networks | 69.4 | – | Paper | Code | 2016 | 2 of 24 ran · 22 unverified | report |
| 57 | TS-LSTM | 69 | – | Paper | Code | 2017 | linked, not harvested | report |
| 58 | SVT | 67.2 | – | Paper | Code | 2021 | 0 of 1 ran · 1 unverified | report |
| 59 | R[2+1]D-RGB (Sports1M pretrained) | 66.6 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report |
| 60 | TDD + IDT | 65.9 | – | Paper | Code | 2015 | linked, not harvested | report |
| 61 | VIMPAC | 65.9 | – | Paper | Code | 2021 | 1 of 1 ran · 0 unverified | report |
| 62 | S:VGG-16, T:VGG-16 (ImageNet pretrained) | 65.4 | ✓ | Paper | Code | 2016 | linked, not harvested | report |
| 63 | Dynamic Image Networks + IDT | 65.2 | – | Paper | Code | 2016 | linked, not harvested | report |
| 64 | LTC | 64.8 | – | Paper | Code | 2016 | linked, not harvested | report |
| 65 | R-STAN-50 | 62.8 | – | Paper | – | 2019 | no code linked | report |
| 66 | DMC-Net (ResNet-18) | 62.8 | – | Paper | – | 2019 | no code linked | report |
| 67 | SUSiNet (multi, Kinetics pretrained) | 62.7 | ✓ | Paper | – | 2018 | no code linked | report |
| 68 | Two-Stream (ImageNet pretrained) | 59.4 | ✓ | Paper | Code | 2014 | 1 of 7 ran · 6 unverified | report |
| 69 | ActionFlowNet | 56.4 | – | Paper | – | 2016 | no code linked | report |
| 70 | R-STAN-152 | 55.16 | – | Paper | – | 2019 | no code linked | report |
| 71 | Res3D | 54.9 | – | Paper | Code | 2017 | linked, not harvested | report |
| 72 | R(2+1)D-18 (DistInit pretraining) | 54.8 | ✓ | Paper | – | 2019 | no code linked | report |
| 73 | JRMN | 54.2 | – | Paper | Code | 2020 | linked, not harvested | report |
| 74 | CD-UAR | 51.8 | – | Paper | – | 2018 | no code linked | report |
| 75 | C3D | 51.6 | – | Paper | Code | 2014 | linked, not harvested | report |
| 76 | R[2+1]D (VideoMoCo) | 49.2 | – | Paper | Code | 2021 | 1 of 1 ran · 0 unverified | report |
| 77 | 3D-ResNet-18 (VideoMoCo) | 43.6 | – | Paper | Code | 2021 | 1 of 1 ran · 0 unverified | report |
All 77 rows shown. 77 link to a paper page on this site; 33 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28
Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 23 rows have a graph line, from 12 distinct papers; 20 rows (9 papers) have at least one sample that ran. Counting each paper once: Syntology ran 28 of 98 samples; 70 unverified. Separately, 18 of those 98 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.
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