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UCF101 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: 3-fold Accuracy (higher is better), Accuracy (higher is better), Accuracy 20%Test (higher is better). Points are placed at the row's paper date; 90 of 91 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 | FTP-UniFormerV2-L/14 | 99.7 | – | Paper | – | 2024 | no code linked | report | ||
| 2 | VideoMAE V2-g | 99.6 | ✓ | Paper | Code | 2023 | 2 of 6 ran · 4 unverified | report | ||
| 3 | OmniVec | 99.6 | ✓ | Paper | – | 2023 | no code linked | report | ||
| 4 | OmniVec2 | 99.6 | ✓ | Paper | – | 2024 | no code linked | report | ||
| 5 | BIKE | 98.8 | ✓ | Paper | Code | 2022 | linked, not harvested | report | ||
| 6 | SMART | 98.64 | – | Paper | – | 2020 | no code linked | report | ||
| 7 | OmniSource (SlowOnly-8x8-R101-RGB + I3D-Flow) | 98.6 | ✓ | Paper | Code | 2020 | 0 of 13 ran · 13 unverified | report | ||
| 8 | PERF-Net (multi-distilled S3D) | 98.6 | – | Paper | – | 2020 | no code linked | report | ||
| 9 | ZeroI2V ViT-L/14 | 98.6 | ✓ | Paper | Code | 2023 | 1 of 3 ran · 2 unverified | report | ||
| 10 | LGD-3D Two-stream | 98.2 | – | Paper | – | 2019 | no code linked | report | ||
| 11 | Text4Vis | 98.2 | – | Paper | Code | 2022 | linked, not harvested | report | ||
| 12 | Two-Stream I3D (Imagenet+Kinetics pre-training) | 98.0 | – | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report | ||
| 13 | MARS+RGB+Flow (64 frames, Kinetics pretrained) | 97.8 | ✓ | Paper | Code | 2019 | linked, not harvested | report | ||
| 14 | HATNet (32 frames) | 97.8 | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 15 | Two-Stream I3D (Kinetics pre-training) | 97.8 | – | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report | ||
| 16 | BubbleNET | 97.62 | ✓ | Paper | – | 2020 | no code linked | report | ||
| 17 | D3D + D3D | 97.6 | – | Paper | Code | 2018 | linked, not harvested | report | ||
| 18 | BQN | 97.6 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 19 | CCS + TSN (ImageNet+Kinetics pretrained) | 97.4 | ✓ | Paper | – | 2019 | no code linked | report | ||
| 20 | R[2+1]D-TwoStream (Kinetics pretrained) | 97.3 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report | ||
| 21 | Multi-stream I3D | 97.2 | – | Paper | – | 2019 | no code linked | report | ||
| 22 | CA2ST(B/16) | 97.2 | – | Paper | – | 2025 | no code linked | report | ||
| 23 | Hidden Two-Stream | 97.1 | – | Paper | Code | 2017 | linked, not harvested | report | ||
| 24 | D3D (Kinetics-600 pretraining) | 97.1 | ✓ | Paper | Code | 2018 | linked, not harvested | report | ||
| 25 | AMD(ViT-B/16) | 97.1 | ✓ | Paper | – | 2023 | no code linked | report | ||
| 26 | D3D (Kinetics-400 pretraining) | 97 | ✓ | Paper | Code | 2018 | linked, not harvested | report | ||
| 27 | LGD-3D RGB | 97 | – | Paper | – | 2019 | no code linked | report | ||
| 28 | STAM-32 (ImageNet/Kinetics pretraining) | 97 | ✓ | Paper | Code | 2021 | 0 of 1 ran · 1 unverified | report | ||
| 29 | FASTER32 | 96.9 | – | Paper | – | 2019 | no code linked | report | ||
| 30 | R[2+1]D-RGB (Kinetics pretrained) | 96.8 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report | ||
| 31 | S3D-G (ImageNet, Kinetics-400 pretrained) | 96.8 | ✓ | Paper | Code | 2017 | linked, not harvested | report | ||
| 32 | LGD-3D Flow | 96.8 | – | Paper | – | 2019 | no code linked | report | ||
| 33 | Flow-I3D (Imagenet+Kinetics pre-training) | 96.7 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report | ||
| 34 | VidTr-L | 96.7 | – | Paper | – | 2021 | no code linked | report | ||
| 35 | CMA iter1-S | 96.5 | – | Paper | – | 2019 | no code linked | report | ||
| 36 | Flow-I3D (Kinetics pre-training) | 96.5 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report | ||
| 37 | I3D RGB + DMC-Net (I3D) | 96.5 | – | Paper | – | 2019 | no code linked | report | ||
| 38 | A2-Net (ResNet-50) | 96.4 | – | Paper | – | 2018 | no code linked | report | ||
| 39 | MF-Net, RGB only (ImageNet+Kinetics pretrained) | 96.0 | ✓ | Paper | – | 2018 | no code linked | report | ||
| 40 | Optical Flow Guided Feature | 96 | – | Paper | Code | 2017 | linked, not harvested | report | ||
| 41 | MARS+RGB+Flow (16 frames) | 95.8 | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 42 | Prob-Distill | 95.7 | – | Paper | – | 2019 | no code linked | report | ||
| 43 | RGB-I3D (Imagenet+Kinetics pre-training) | 95.6 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report | ||
| 44 | R[2+1]D-Flow (Kinetics pretrained) | 95.5 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report | ||
| 45 | TVNet+IDT | 95.4 | – | Paper | Code | 2018 | 0 of 2 ran · 2 unverified | report | ||
| 46 | TesNet (ImageNet pretrained) | 95.2 | ✓ | Paper | – | 2020 | no code linked | report | ||
| 47 | I3D-LSTM | 95.1 | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 48 | RGB-I3D (Kinetics pre-training) | 95.1 | ✓ | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report | ||
| 49 | R[2+1]D-TwoStream (Sports-1M pretrained) | 95 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report | ||
| 50 | X3D MobileNet-V3 LGD-GC | 94.85 | ✓ | Paper | Code | 2021 | linked, not harvested | report | ||
| 51 | ST-ResNet + IDT | 94.6 | – | Paper | Code | 2016 | linked, not harvested | report | ||
| 52 | ResNeXt-101 (64f) | 94.5 | – | Paper | Code | 2017 | 7 of 8 ran · 1 unverified | report | ||
| 53 | R-STAN-101 | 94.5 | – | Paper | – | 2019 | no code linked | report | ||
| 54 | TSN+TSM | 94.3 | – | Paper | – | 2018 | no code linked | report | ||
| 55 | ARTNet w/ TSN | 94.3 | – | Paper | Code | 2017 | linked, not harvested | report | ||
| 56 | Temporal Segment Networks | 94.2 | – | Paper | Code | 2016 | 2 of 24 ran · 22 unverified | report | ||
| 57 | TS-LSTM | 94.1 | – | Paper | Code | 2017 | linked, not harvested | report | ||
| 58 | SVT | 93.7 | – | Paper | Code | 2021 | 0 of 1 ran · 1 unverified | report | ||
| 59 | R[2+1]D-RGB (Sports-1M pretrained) | 93.6 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report | ||
| 60 | Two-stream I3D | 93.4 | – | Paper | Code | 2017 | 16 of 28 ran · 12 unverified | report | ||
| 61 | R[2+1]D-Flow (Sports-1M pretrained) | 93.3 | ✓ | Paper | Code | 2017 | 1 of 4 ran · 3 unverified | report | ||
| 62 | VIMPAC | 92.7 | – | Paper | Code | 2021 | 1 of 1 ran · 0 unverified | report | ||
| 63 | S:VGG-16, T:VGG-16 (ImageNet pretrain) | 92.5 | ✓ | Paper | Code | 2016 | linked, not harvested | report | ||
| 64 | DMC-Net (I3D) | 92.3 | – | Paper | – | 2019 | no code linked | report | ||
| 65 | two-in-one two stream | 92 | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 66 | LTC | 91.7 | – | Paper | Code | 2016 | linked, not harvested | report | ||
| 67 | R-STAN-50 | 91.5 | – | Paper | – | 2019 | no code linked | report | ||
| 68 | TDD + IDT | 91.5 | – | Paper | Code | 2015 | linked, not harvested | report | ||
| 69 | Very deep two-stream ConvNet | 91.4 | – | Paper | Code | 2015 | linked, not harvested | report | ||
| 70 | 3D ResNeXt-101 + Confidence Distillation | 91.2 | – | Paper | – | 2021 | no code linked | report | ||
| 71 | MR Two-Sream R-CNN | 91.1 | – | Paper | – | 2016 | no code linked | report | ||
| 72 | Dynamic Image Networks + IDT | 89.1 | – | Paper | Code | 2016 | linked, not harvested | report | ||
| 73 | Two-stream+LSTM | 88.6 | – | Paper | Code | 2015 | 0 of 4 ran · 4 unverified | report | ||
| 74 | P3D (ImageNet + Sports1M) | 88.6 | ✓ | Paper | Code | 2017 | linked, not harvested | report | ||
| 75 | Two-Stream (ImageNet pretrained) | 88.0 | ✓ | Paper | Code | 2014 | 1 of 7 ran · 6 unverified | report | ||
| 76 | MV-CNN | 86.4 | – | Paper | Code | 2016 | linked, not harvested | report | ||
| 77 | Dynamics 2 for DenseNet-201 Transformer | 86.1 | – | Paper | Code | 2023 | linked, not harvested | report | ||
| 78 | R(2+1)D-18 (DistInit pretraining) | 85.8 | – | Paper | – | 2019 | no code linked | report | ||
| 79 | Res3D | 85.8 | – | Paper | Code | 2017 | linked, not harvested | report | ||
| 80 | ActionFlowNet | 83.9 | – | Paper | – | 2016 | no code linked | report | ||
| 81 | C3D | 82.3 | – | Paper | Code | 2014 | linked, not harvested | report | ||
| 82 | HalluciNet (ResNet-50) | 79.83 | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 83 | R[2+1]D (VideoMoCo) | 78.7 | – | Paper | Code | 2021 | 1 of 1 ran · 0 unverified | report | ||
| 84 | 3D-ResNet-18 (VideoMoCo) | 74.1 | – | Paper | Code | 2021 | 1 of 1 ran · 0 unverified | report | ||
| 85 | Slow Fusion + Finetune top 3 layers | 65.4 | ✓ | Paper | Code | 2014 | linked, not harvested | report | ||
| 86 | MLGCN | 63.27 | – | Paper | – | 2019 | no code linked | report | ||
| 87 | CD-UAR | 42.5 | – | Paper | – | 2018 | no code linked | report | ||
| 88 | SL | 35.2 | – | – | – | not matched | report | |||
| 89 | I3D + PoTion | 29.3 | – | Paper | – | 2018 | no code linked | report | ||
| 90 | R3D-18 | 73.16 | – | Paper | Code | 2022 | linked, not harvested | report | ||
| 91 | ResNet50 | 98.05 | – | Paper | Code | 2022 | linked, not harvested | report |
All 91 rows shown. 90 link to a paper page on this site; 31 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). 26 rows have a graph line, from 14 distinct papers; 21 rows (9 papers) have at least one sample that ran. Counting each paper once: Syntology ran 32 of 103 samples; 71 unverified. Separately, 21 of those 103 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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