Browse › Self-Supervised Image Classification › ImageNet
ImageNet Benchmark (Self-Supervised Image Classification)
The archive's category list for this table covers 11 areas (Adversarial, Audio, Computer Code, Computer Vision, Medical, Methodology, Miscellaneous, Music, Natural Language Processing, Reasoning, Speech), which is its placeholder rather than an assignment; no area is shown in the breadcrumb. archive 2025-07-28
This is the task of image classification using representations learnt with self-supervised learning. Self-supervised methods generally involve a pretext task that is solved to learn a good representation and a loss function to learn with. One example of a loss function is an autoencoder based loss where the goal is reconstruction of an image pixel-by-pixel. A more popular recent example is a contrastive loss, which measure the similarity of sample pairs in a representation space, and where there can be a varying target instead of a fixed target to reconstruct (as in the case of autoencoders).
A common evaluation protocol is to train a linear classifier on top of (frozen) representations learnt by self-supervised methods. The leaderboards for the linear evaluation protocol can be found below. In practice, it is more common to fine-tune features on a downstream task. An alternative evaluation protocol therefore uses semi-supervised learning and finetunes on a % of the labels. The leaderboards for the finetuning protocol can be accessed here.
You may want to read some blog posts before reading the papers and checking the leaderboards:
- Contrastive Self-Supervised Learning - Ankesh Anand
- The Illustrated Self-Supervised Learning - Amit Chaudhary
- Self-supervised learning and computer vision - Jeremy Howard
- Self-Supervised Representation Learning - Lilian Weng
There is also Yann LeCun's talk at AAAI-20 which you can watch here (35:00+).
The archive carries no text for this table; the description above is the archive's text for the task Self-Supervised Image Classification. archive 2025-07-28
Over time archive 2025-07-28
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Direction inferred from the metric name, not from the archive: Top 1 Accuracy (higher is better), Top 5 Accuracy (higher is better), Number of Params (lower is better). Points are placed at the row's paper date; 144 of 144 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 | DINOv2+reg (ViT-g/14) | 87.1 | 1100M | ✓ | Paper | Code | 2023 | 4 of 20 ran · 16 unverified | report | |
| 2 | DINOv2 (ViT-g/14 @448) | 86.7% | 1100M | ✓ | Paper | Code | 2023 | 21 of 46 ran · 25 unverified | report | |
| 3 | DINOv2 (ViT-g/14) | 86.5% | 1100M | ✓ | Paper | Code | 2023 | 21 of 46 ran · 25 unverified | report | |
| 4 | DINOv2 distilled (ViT-L/14) | 86.3% | 307M | ✓ | Paper | Code | 2023 | 21 of 46 ran · 25 unverified | report | |
| 5 | MIM-Refiner (D2V2-ViT-H/14) | 84.7% | 632M | – | Paper | Code | 2024 | 3 of 3 ran · 0 unverified | report | |
| 6 | MIM-Refiner (MAE-ViT-2B/14) | 84.5% | 1890M | – | Paper | Code | 2024 | 3 of 3 ran · 0 unverified | report | |
| 7 | DINOv2 distilled (ViT-B/14) | 84.5% | 85M | ✓ | Paper | Code | 2023 | 21 of 46 ran · 25 unverified | report | |
| 8 | MIM-Refiner (MAE-ViT-H/14 | 83.7% | 632M | – | Paper | Code | 2024 | 3 of 3 ran · 0 unverified | report | |
| 9 | MIM-Refiner (D2V2-ViT-L/16) | 83.5% | 307M | – | Paper | Code | 2024 | 3 of 3 ran · 0 unverified | report | |
| 10 | MIM-Refiner (MAE-ViT-L/16) | 82.8% | 307M | – | Paper | Code | 2024 | 3 of 3 ran · 0 unverified | report | |
| 11 | iBOT (ViT-L/16) (IN22k) | 82.3% | 307M | ✓ | Paper | Code | 2021 | 0 of 1 ran · 1 unverified | report | |
| 12 | MAE-CT (ViT-H/16) | 82.2% | 632M | – | Paper | Code | 2023 | linked, not harvested | report | |
| 13 | Mugs (VIT-L/16) | 82.1% | 307M | – | Paper | Code | 2022 | 4 of 21 ran · 17 unverified | report | |
| 14 | MAE-CT (ViT-L/16 | 81.5% | 307M | – | Paper | Code | 2023 | linked, not harvested | report | |
| 15 | EsViT (Swin-B) | 81.3 | 95.5 | 87M | – | Paper | Code | 2021 | 2 of 6 ran · 4 unverified | report |
| 16 | iBOT (ViT-L/16) | 81.3% | 307M | – | Paper | Code | 2021 | 0 of 1 ran · 1 unverified | report | |
| 17 | DINOv2 distilled (ViT-S/14) | 81.1% | 21M | ✓ | Paper | Code | 2023 | 21 of 46 ran · 25 unverified | report | |
| 18 | MoCo v3 (ViT-BN-L/7) | 81.0% | 304M | – | Paper | Code | 2021 | 2 of 2 ran · 0 unverified | report | |
| 19 | EsViT(Swin-S) | 80.8 | 49M | – | Paper | Code | 2021 | 2 of 6 ran · 4 unverified | report | |
| 20 | MSN (ViT-L/7) | 80.7% | 306M | – | Paper | Code | 2022 | 4 of 4 ran · 0 unverified | report | |
| 21 | ReLICv2 (ResNet-200 x2) | 80.6% | 250M | – | Paper | Code | 2022 | 0 of 14 ran · 14 unverified | report | |
| 22 | MR BarTwins (MR BarTwins) | 80.4% | – | Paper | – | 2022 | no code linked | report | ||
| 23 | DiGIT | 80.3% | 732M | – | Paper | Code | 2024 | 3 of 5 ran · 2 unverified | report | |
| 24 | iBOT-vMF (ViT-B/16) | 80.3% | 85M | – | Paper | – | 2024 | no code linked | report | |
| 25 | DINO (xcit_medium_24_p8) | 80.3% | 84M | – | Paper | Code | 2021 | 5 of 20 ran · 15 unverified | report | |
| 26 | PGT (PGT-B w/ Flow) | 80.3% | 70M | – | Paper | – | 2023 | no code linked | report | |
| 27 | DINO (ViT-B/8) | 80.1% | 80M | – | Paper | Code | 2021 | 5 of 20 ran · 15 unverified | report | |
| 28 | SimCLRv2 (ResNet-152 x3, SK) | 79.8% | 94.9% | 795M | – | Paper | Code | 2020 | 0 of 6 ran · 6 unverified | report |
| 29 | SEERv2 | 79.8% | 10000M | ✓ | Paper | Code | 2022 | linked, not harvested | report | |
| 30 | PercMAE (ViT-B, dVAE) | 79.8% | 80M | ✓ | Paper | Code | 2022 | linked, not harvested | report | |
| 31 | ReLICv2 (ResNet200) | 79.8% | 63M | – | Paper | Code | 2022 | 0 of 14 ran · 14 unverified | report | |
| 32 | DINO (ViT-S/8) | 79.7% | 21M | – | Paper | Code | 2021 | 5 of 20 ran · 15 unverified | report | |
| 33 | BYOL (ResNet-200 x2) | 79.6% | 94.8% | 250M | – | Paper | Code | 2020 | 62 of 79 ran · 17 unverified | report |
| 34 | ReLICv2 (ResNet-50 4x) | 79.4% | 375M | – | Paper | Code | 2022 | 0 of 14 ran · 14 unverified | report | |
| 35 | ReLICv2 (ResNet152) | 79.3% | 58M | – | Paper | Code | 2022 | 0 of 14 ran · 14 unverified | report | |
| 36 | BAM (CAFormer-M36) | 79.3% | – | Paper | Code | 2024 | linked, not harvested | report | ||
| 37 | MoCo v3 (ViT-BN-H) | 79.1% | 700M | – | Paper | Code | 2021 | 2 of 2 ran · 0 unverified | report | |
| 38 | Unicom (ViT-B/16) | 79.1% | 80M | ✓ | Paper | Code | 2023 | 3 of 6 ran · 3 unverified | report | |
| 39 | SMoG (ResNet-50 x4) | 79.0% | 94.4 | 375M | – | Paper | Code | 2022 | 1 of 1 ran · 0 unverified | report |
| 40 | ReLICv2 (ResNet-50 x2) | 79% | 94M | – | Paper | Code | 2022 | 0 of 14 ran · 14 unverified | report | |
| 41 | C-BYOL (ResNet-50 2x, 1000 epochs) | 78.8% | 94.5% | 94M | – | Paper | Code | 2021 | 0 of 12 ran · 12 unverified | report |
| 42 | DINO-vMF (ViT-B/16) | 78.8% | 85M | – | Paper | – | 2024 | no code linked | report | |
| 43 | ReLICv2 (ResNet101) | 78.7% | 44M | – | Paper | Code | 2022 | 0 of 14 ran · 14 unverified | report | |
| 44 | BYOL (ResNet-50 x4) | 78.6% | 94.2% | 375M | – | Paper | Code | 2020 | 62 of 79 ran · 17 unverified | report |
| 45 | SwAV (ResNet-50 x5) | 78.5% | 586M | – | Paper | Code | 2020 | 13 of 17 ran · 4 unverified | report | |
| 46 | DINO (ViT-B/16) | 78.2% | 85M | – | Paper | Code | 2021 | 5 of 20 ran · 15 unverified | report | |
| 47 | MoCo v3 (ViT-H) | 78.1% | 632M | – | Paper | Code | 2021 | 2 of 2 ran · 0 unverified | report | |
| 48 | PercMAE (ViT-B) | 78.1% | 80M | – | Paper | Code | 2022 | linked, not harvested | report | |
| 49 | BAM (ViT-B/16) | 78.1% | 80M | – | Paper | Code | 2024 | linked, not harvested | report | |
| 50 | SMoG (ResNet-50 x2) | 78.0% | 93.9 | 94M | – | Paper | Code | 2022 | 1 of 1 ran · 0 unverified | report |
| 51 | MoCo v3 (ViT-L) | 77.6% | 307M | – | Paper | Code | 2021 | 2 of 2 ran · 0 unverified | report | |
| 52 | SEER | 77.5% | 1300M | ✓ | Paper | Code | 2021 | linked, not harvested | report | |
| 53 | BYOL (ResNet-50 x2) | 77.4% | 93.6% | 94M | – | Paper | Code | 2020 | 62 of 79 ran · 17 unverified | report |
| 54 | SwAV (ResNet-50 x2) | 77.3% | 94M | – | Paper | Code | 2020 | 13 of 17 ran · 4 unverified | report | |
| 55 | ReLICv2 (ResNet-50) | 77.1% | 25M | – | Paper | Code | 2022 | 0 of 14 ran · 14 unverified | report | |
| 56 | DINO (ViT-S/16) | 77.0% | 21M | – | Paper | Code | 2021 | 5 of 20 ran · 15 unverified | report | |
| 57 | DINO-vMF (ViT-S/16) | 77.0% | 21M | – | Paper | – | 2024 | no code linked | report | |
| 58 | MoCo v3 (ViT-B/16) | 76.7% | 86M | – | Paper | Code | 2021 | 2 of 2 ran · 0 unverified | report | |
| 59 | MAE (ViT-H) | 76.6% | 700M | – | Paper | Code | 2021 | 71 of 137 ran · 66 unverified | report | |
| 60 | SimCLR (ResNet-50 4x) | 76.5% | 93.2% | 375M | – | Paper | Code | 2020 | 79 of 137 ran · 58 unverified | report |
| 61 | CoKe (ResNet-50) | 76.4% | 25M | – | Paper | Code | 2021 | 3 of 6 ran · 3 unverified | report | |
| 62 | SMoG (ResNet-50) | 76.4% | 25M | – | Paper | Code | 2022 | 1 of 1 ran · 0 unverified | report | |
| 63 | ReSSL (ResNet-50 w/ Predictor and Stronger Aug) | 76.3% | 24M | – | Paper | Code | 2022 | 0 of 2 ran · 2 unverified | report | |
| 64 | ReSSL (ResNet-50 w/ Predictor) | 76.0% | 24M | – | Paper | Code | 2022 | 0 of 2 ran · 2 unverified | report | |
| 65 | Triplet (ResNet-50) | 75.9% | 23.56M | – | Paper | Code | 2021 | 0 of 2 ran · 2 unverified | report | |
| 66 | MAE (ViT-L) | 75.8% | 306M | – | Paper | Code | 2021 | 71 of 137 ran · 66 unverified | report | |
| 67 | DnC (ResNet-50) | 75.8% | 24M | – | Paper | – | 2021 | no code linked | report | |
| 68 | CaCo (ResNet-50) | 75.7% | 24M | – | Paper | Code | 2022 | 2 of 4 ran · 2 unverified | report | |
| 69 | SimCLRv2 (ResNet-50 x2) | 75.6% | 92.7% | 94M | – | Paper | Code | 2020 | 0 of 6 ran · 6 unverified | report |
| 70 | C-BYOL (ResNet-50, 1000 epochs) | 75.6% | 92.7% | 25M | – | Paper | Code | 2021 | 0 of 12 ran · 12 unverified | report |
| 71 | NNCLR (ResNet-50, multi-crop) | 75.6% | 92.4 | 25M | – | Paper | Code | 2021 | 4 of 5 ran · 1 unverified | report |
| 72 | HEXA | 75.5% | 24M | – | Paper | – | 2020 | no code linked | report | |
| 73 | SCE (ResNet-50, multi-crop) | 75.4% | 24M | – | Paper | Code | 2021 | linked, not harvested | report | |
| 74 | SwAV (ResNet-50) | 75.3% | 24M | – | Paper | Code | 2020 | 13 of 17 ran · 4 unverified | report | |
| 75 | DINO (ResNet-50) | 75.3% | 24M | – | Paper | Code | 2021 | 5 of 20 ran · 15 unverified | report | |
| 76 | InfoMin (ResNeXt-152) | 75.2% | 120M | – | Paper | Code | 2020 | linked, not harvested | report | |
| 77 | DeepCluster-v2 (ResNet-50) | 75.2% | 24M | – | Paper | Code | 2020 | 13 of 17 ran · 4 unverified | report | |
| 78 | Unicom (ViT-B/32) | 75.0% | 80M | ✓ | Paper | Code | 2023 | 3 of 6 ran · 3 unverified | report | |
| 79 | MoBY (Swin-T) | 75% | 29M | – | Paper | Code | 2021 | linked, not harvested | report | |
| 80 | ReLIC (ResNet-50) | 74.8% | 24M | – | Paper | Code | 2020 | 2 of 2 ran · 0 unverified | report | |
| 81 | ReSSL(ResNet-50) 200ep | 74.7% | 92.3% | 24M | – | Paper | Code | 2021 | 1 of 1 ran · 0 unverified | report |
| 82 | WCL (ResNet-50) | 74.7% | 24M | – | Paper | Code | 2021 | 0 of 3 ran · 3 unverified | report | |
| 83 | MV-MR | 74.5% | 92.1 | – | Paper | Code | 2023 | linked, not harvested | report | |
| 84 | FNC (ResNet-50) | 74.4% | 91.8% | 24M | – | Paper | Code | 2020 | linked, not harvested | report |
| 85 | BYOL (ResNet-50) | 74.3% | 91.6% | 24M | – | Paper | Code | 2020 | 62 of 79 ran · 17 unverified | report |
| 86 | SimCLR (ResNet-50 2x) | 74.2% | 92.0% | 94M | – | Paper | Code | 2020 | 79 of 137 ran · 58 unverified | report |
| 87 | Self-Classifier (ResNet-50) | 74.2% | 24M | – | Paper | Code | 2021 | linked, not harvested | report | |
| 88 | GroCo (ResNet-50) | 73.9% | 91.6 | 25M | – | Paper | Code | 2023 | linked, not harvested | report |
| 89 | OBoW (ResNet-50) | 73.8% | 92.2% | 24M | – | Paper | Code | 2020 | 3 of 3 ran · 0 unverified | report |
| 90 | VICReg (ResNet50) | 73.2 | 91.1 | 24M | – | Paper | Code | 2021 | 11 of 17 ran · 6 unverified | report |
| 91 | Barlow Twins (ResNet-50) | 73.2% | 91 | 24M | – | Paper | Code | 2021 | 21 of 26 ran · 5 unverified | report |
| 92 | InfoMin (ResNet-50) | 73.0% | 91.1% | 24M | – | Paper | Code | 2020 | linked, not harvested | report |
| 93 | DINO (ResMLP-24) | 72.8% | 30M | – | Paper | Code | 2021 | 2 of 7 ran · 5 unverified | report | |
| 94 | MoBY (DeiT-S) | 72.8% | 22M | – | Paper | Code | 2021 | linked, not harvested | report | |
| 95 | I-VNE+ (ResNet-50) | 72.1 | 91.0 | 25M | – | Paper | Code | 2023 | linked, not harvested | report |
| 96 | iGPT-XL (64x64, 15360 features) | 72.0% | 6801M | – | Paper | Code | 2020 | linked, not harvested | report | |
| 97 | SimCLRv2 (ResNet-50) | 71.7% | 90.4% | 24M | – | Paper | Code | 2020 | 0 of 6 ran · 6 unverified | report |
| 98 | CPC v2 (ResNet-161) (arxiv v2) | 71.5% | 90.1% | 305M | – | Paper | Code | 2019 | 2 of 2 ran · 0 unverified | report |
| 99 | SimSiam (ResNet-50) | 71.3% | 24M | – | Paper | Code | 2020 | 34 of 39 ran · 5 unverified | report | |
| 100 | MoCo v2 (ResNet-50) | 71.1% | 90.1% | 24M | – | Paper | Code | 2020 | 8 of 43 ran · 35 unverified | report |
| 101 | SynCo (ResNet-50) 800ep | 70.6% | 89.8% | 24M | – | Paper | Code | 2024 | linked, not harvested | report |
| 102 | CMC (ResNet-50 x2) (arxiv v5) | 70.6% | 89.7% | 188M | – | Paper | Code | 2019 | 3 of 4 ran · 1 unverified | report |
| 103 | SimCLR (ResNet-50) | 69.3% | 89.0% | 24M | – | Paper | Code | 2020 | 79 of 137 ran · 58 unverified | report |
| 104 | iGPT-XL (64x64, 3072 features) | 68.7% | 6800M | – | Paper | Code | 2020 | linked, not harvested | report | |
| 105 | MoCo (ResNet-50 4x) | 68.6% | 375M | – | Paper | Code | 2019 | 26 of 42 ran · 16 unverified | report | |
| 106 | AMDIM (large) (arxiv v2) | 68.1% | 626M | – | Paper | Code | 2019 | 8 of 11 ran · 3 unverified | report | |
| 107 | MAE (ViT-B) | 68.0% | 80M | – | Paper | Code | 2021 | 71 of 137 ran · 66 unverified | report | |
| 108 | SynCo (ResNet-50) 200ep | 67.9% | 88 | 24M | – | Paper | Code | 2024 | linked, not harvested | report |
| 109 | DINO (ResMLP-12) | 67.5% | 15M | – | Paper | Code | 2021 | 2 of 7 ran · 5 unverified | report | |
| 110 | CMC (ResNet-50) (arxiv v5) | 66.2% | 87.0% | 47M | – | Paper | Code | 2019 | 3 of 4 ran · 1 unverified | report |
| 111 | PCL (ResNet-50) | 65.9% | 25M | – | Paper | Code | 2020 | 2 of 5 ran · 3 unverified | report | |
| 112 | MoCo (ResNet-50 2x) | 65.4% | 94M | – | Paper | Code | 2019 | 26 of 42 ran · 16 unverified | report | |
| 113 | iGPT-L (48x48) | 65.2% | 1400M | – | Paper | Code | 2020 | linked, not harvested | report | |
| 114 | CMC (ResNet-101) (arxiv v3) | 65.0% | 86.0% | – | Paper | Code | 2019 | 3 of 4 ran · 1 unverified | report | |
| 115 | CPC v2 (ResNet-50) (arxiv v2) | 63.8% | 85.3% | 24M | – | Paper | Code | 2019 | 2 of 2 ran · 0 unverified | report |
| 116 | MMCL (100 epoch, 256 batch size) | 63.8% | – | Paper | Code | 2021 | 2 of 12 ran · 10 unverified | report | ||
| 117 | PIRL | 63.6% | 24M | – | Paper | Code | 2019 | 3 of 4 ran · 1 unverified | report | |
| 118 | AMDIM (small) (arxiv v2) | 63.5% | 194M | – | Paper | Code | 2019 | 8 of 11 ran · 3 unverified | report | |
| 119 | SeLa (ResNet50) (arxiv 3) | 61.5% | 84.0% | 24M | – | Paper | Code | 2019 | 7 of 18 ran · 11 unverified | report |
| 120 | BigBiGAN (RevNet-50 ×4, BN+CReLU) | 61.3% | 81.9% | 86M | – | Paper | Code | 2019 | 0 of 3 ran · 3 unverified | report |
| 121 | CPC v2 (ResNet-161) (arxiv v1) | 61.0% | 83.0% | 305M | – | Paper | Code | 2019 | 2 of 2 ran · 0 unverified | report |
| 122 | BigBiGAN (RevNet-50 ×4) | 60.8% | 81.4% | 86M | – | Paper | Code | 2019 | 0 of 3 ran · 3 unverified | report |
| 123 | MoCo (ResNet-50) | 60.6% | 24M | – | Paper | Code | 2019 | 26 of 42 ran · 16 unverified | report | |
| 124 | iGPT-L (32x32) | 60.3% | 1400M | – | Paper | Code | 2020 | linked, not harvested | report | |
| 125 | AMDIM (arxiv v1) | 60.2% | 337M | – | Paper | Code | 2019 | 8 of 11 ran · 3 unverified | report | |
| 126 | LocalAgg (ResNet-50) | 60.2% | 24M | – | Paper | Code | 2019 | linked, not harvested | report | |
| 127 | CMC (ResNet-101) | 60.1% | 82.8% | 44M | – | Paper | Code | 2019 | 3 of 4 ran · 1 unverified | report |
| 128 | BigBiGAN (ResNet-50, BN+CReLU) | 56.6% | 78.6% | 24M | – | Paper | Code | 2019 | 0 of 3 ran · 3 unverified | report |
| 129 | SeLa (ResNet50) | 55.7% | 79.5% | 24M | – | Paper | Code | 2019 | 7 of 18 ran · 11 unverified | report |
| 130 | Revisited Rotation (RevNet-50 ×4) | 55.4% | 77.9% | 86M | – | Paper | Code | 2019 | 0 of 15 ran · 15 unverified | report |
| 131 | BigBiGAN (ResNet-50) | 55.4% | 77.4% | 25M | – | Paper | Code | 2019 | 0 of 3 ran · 3 unverified | report |
| 132 | Revisited Rel.Patch.Loc (ResNet50 ×2) | 51.4% | 74.0% | 94M | – | Paper | Code | 2019 | 0 of 15 ran · 15 unverified | report |
| 133 | SeLa (AlexNet) (arxiv v3) | 50.0% | 61M | – | Paper | Code | 2019 | 7 of 18 ran · 11 unverified | report | |
| 134 | CPC (ResNet-101 V2) | 48.7% | 73.6% | 44M | – | Paper | Code | 2018 | 29 of 45 ran · 16 unverified | report |
| 135 | Revisited Exemplar (ResNet-50 ×3) | 46.0% | 68.8% | 211M | – | Paper | Code | 2019 | 0 of 15 ran · 15 unverified | report |
| 136 | Revisited Jigsaw (ResNet50 ×2) | 44.6% | 68.0% | 94M | – | Paper | Code | 2019 | 0 of 15 ran · 15 unverified | report |
| 137 | CMC (Alexnet/2) | 42.6% | 30M | – | Paper | Code | 2019 | 3 of 4 ran · 1 unverified | report | |
| 138 | DeepCluster (AlexNet) | 41.0 | 61M | – | Paper | Code | 2018 | 5 of 7 ran · 2 unverified | report | |
| 139 | Colorisation (improved) (ResNet-101) | 39.6 | 62.5 | 44M | – | Paper | – | 2017 | no code linked | report |
| 140 | Rotation (AlexNet) | 38.7 | 86M | – | Paper | Code | 2018 | 14 of 22 ran · 8 unverified | report | |
| 141 | Split-Brain (AlexNet) | 35.4% | 61M | – | Paper | Code | 2016 | linked, not harvested | report | |
| 142 | Counting (AlexNet) | 34.3 | 61M | – | Paper | Code | 2017 | 1 of 1 ran · 0 unverified | report | |
| 143 | Colorization (AlexNet) | 32.6% | 61M | – | Paper | Code | 2016 | 32 of 73 ran · 41 unverified | report | |
| 144 | Multi-task SSL (ResNet-101) | 70.2 | 44M | – | Paper | – | 2017 | no code linked | report |
All 144 rows shown. 144 link to a paper page on this site; 12 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). 109 rows have a graph line, from 48 distinct papers; 83 rows (39 papers) have at least one sample that ran. Counting each paper once: Syntology ran 502 of 961 samples; 459 unverified. Separately, 377 of those 961 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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