task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-13 BN | http://arxiv.org/abs/1409.1556v6 | Accuracy - Corrupted Images | 28.3 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-13 BN | http://arxiv.org/abs/1409.1556v6 | Accuracy - Clean Images | 38.4 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-16 (lpf2) | https://arxiv.org/abs/1904.11486v2 | Accuracy - All Images | 33.5 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-16 (lpf2) | https://arxiv.org/abs/1904.11486v2 | Accuracy - Corrupted Images | 26.7 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-16 (lpf2) | https://arxiv.org/abs/1904.11486v2 | Accuracy - Clean Images | 38.5 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-11 BN | http://arxiv.org/abs/1409.1556v6 | Accuracy - All Images | 32.9 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-11 BN | http://arxiv.org/abs/1409.1556v6 | Accuracy - Corrupted Images | 25.8 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-11 BN | http://arxiv.org/abs/1409.1556v6 | Accuracy - Clean Images | 37.1 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (IN-C_zoom_blur) | https://arxiv.org/abs/2007.00644v2 | Accuracy - All Images | 32.7 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (IN-C_zoom_blur) | https://arxiv.org/abs/2007.00644v2 | Accuracy - Corrupted Images | 28.3 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (IN-C_zoom_blur) | https://arxiv.org/abs/2007.00644v2 | Accuracy - Clean Images | 36.6 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-13 | http://arxiv.org/abs/1409.1556v6 | Accuracy - All Images | 32.4 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-13 | http://arxiv.org/abs/1409.1556v6 | Accuracy - Corrupted Images | 26.4 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-13 | http://arxiv.org/abs/1409.1556v6 | Accuracy - Clean Images | 36.5 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-11 | http://arxiv.org/abs/1409.1556v6 | Accuracy - All Images | 31.5 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-11 | http://arxiv.org/abs/1409.1556v6 | Accuracy - Corrupted Images | 25.2 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | VGG-11 | http://arxiv.org/abs/1409.1556v6 | Accuracy - Clean Images | 36.1 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (IN-C_greyscale) | https://arxiv.org/abs/2007.00644v2 | Accuracy - All Images | 30.2 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (IN-C_greyscale) | https://arxiv.org/abs/2007.00644v2 | Accuracy - Corrupted Images | 24.3 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (IN-C_greyscale) | https://arxiv.org/abs/2007.00644v2 | Accuracy - Clean Images | 34.3 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (adv-train-free) | https://arxiv.org/abs/1904.12843v2 | Accuracy - All Images | 26.7 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (adv-train-free) | https://arxiv.org/abs/1904.12843v2 | Accuracy - Corrupted Images | 20.5 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (adv-train-free) | https://arxiv.org/abs/1904.12843v2 | Accuracy - Clean Images | 30.9 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (SIN) | https://arxiv.org/abs/1811.12231v3 | Accuracy - All Images | 25.3 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (SIN) | https://arxiv.org/abs/1811.12231v3 | Accuracy - Corrupted Images | 20.4 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ResNet-50 (SIN) | https://arxiv.org/abs/1811.12231v3 | Accuracy - Clean Images | 30 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | AlexNet (lpf3) | https://arxiv.org/abs/1904.11486v2 | Accuracy - All Images | 23.1 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | AlexNet (lpf3) | https://arxiv.org/abs/1904.11486v2 | Accuracy - Corrupted Images | 17.5 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | AlexNet (lpf3) | https://arxiv.org/abs/1904.11486v2 | Accuracy - Clean Images | 26.8 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | AlexNet (lpf2) | https://arxiv.org/abs/1904.11486v2 | Accuracy - All Images | 22.8 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | AlexNet (lpf2) | https://arxiv.org/abs/1904.11486v2 | Accuracy - Corrupted Images | 18.2 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | AlexNet (lpf2) | https://arxiv.org/abs/1904.11486v2 | Accuracy - Clean Images | 26.8 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | AlexNet (lpf5) | https://arxiv.org/abs/1904.11486v2 | Accuracy - All Images | 22.7 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | AlexNet (lpf5) | https://arxiv.org/abs/1904.11486v2 | Accuracy - Corrupted Images | 18.4 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | AlexNet (lpf5) | https://arxiv.org/abs/1904.11486v2 | Accuracy - Clean Images | 26.8 |
Domain Adaptation > Domain Generalization | VizWiz-Classification | ViT-8/B-224 | https://arxiv.org/abs/2010.11929v2 | Accuracy - Clean Images | 450 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | Model soups (BASIC-L) | https://arxiv.org/abs/2203.05482v3 | Top-1 accuracy | 77.18 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | Model soups (ViT-G/14) | https://arxiv.org/abs/2203.05482v3 | Top-1 accuracy | 74.24 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | CAR-FT (CLIP, ViT-L/14@336px) | https://arxiv.org/abs/2211.16175v1 | Top-1 accuracy | 65.5 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | ConvNeXt-XL (Im21k, 384) | https://arxiv.org/abs/2201.03545v2 | Top-1 accuracy | 55.0 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | CAFormer-B36 (IN21K, 384) | https://arxiv.org/abs/2210.13452v4 | Top-1 accuracy | 54.5 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | LLE (ViT-H/14, MAE, Edge Aug) | https://arxiv.org/abs/2212.04825v2 | Top-1 accuracy | 53.39 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | ConvFormer-B36 (IN21K, 384) | https://arxiv.org/abs/2210.13452v4 | Top-1 accuracy | 52.9 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | CAFormer-B36 (IN21K) | https://arxiv.org/abs/2210.13452v4 | Top-1 accuracy | 52.8 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | ConvFormer-B36 (IN21K) | https://arxiv.org/abs/2210.13452v4 | Top-1 accuracy | 52.7 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | MAE (ViT-H, 448) | https://arxiv.org/abs/2111.06377v2 | Top-1 accuracy | 50.9 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | MAE+DAT (ViT-H) | https://arxiv.org/abs/2209.07735v1 | Top-1 accuracy | 50.03 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | GPaCo (ViT-L) | https://arxiv.org/abs/2209.12400v2 | Top-1 accuracy | 48.3 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | Discrete Adversarial Distillation (ViT-B, 224) | https://arxiv.org/abs/2311.01441v2 | Top-1 accuracy | 46.1 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | Pyramid Adversarial Training Improves ViT (Im21k) | https://arxiv.org/abs/2111.15121v2 | Top-1 accuracy | 46.03 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | SEER (RegNet10B) | https://arxiv.org/abs/2202.08360v2 | Top-1 accuracy | 45.6 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | DrViT | https://arxiv.org/abs/2111.10493v2 | Top-1 accuracy | 44.72 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | CAFormer-B36 | https://arxiv.org/abs/2210.13452v4 | Top-1 accuracy | 42.5 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | Pyramid Adversarial Training Improves ViT | https://arxiv.org/abs/2111.15121v2 | Top-1 accuracy | 41.04 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | ConvFormer-B36 | https://arxiv.org/abs/2210.13452v4 | Top-1 accuracy | 39.5 |
Domain Adaptation > Domain Generalization | ImageNet-Sketch | Sequencer2D-L | https://arxiv.org/abs/2205.01972v4 | Top-1 accuracy | 35.8 |
Domain Adaptation > Domain Generalization | TerraIncognita | UniDG + CORAL + ConvNeXt-B | https://arxiv.org/abs/2310.10008v1 | Average Accuracy | 69.6 |
Domain Adaptation > Domain Generalization | TerraIncognita | GMDG (RegNetY-16GF, SWAD) | https://arxiv.org/abs/2402.18853v2 | Average Accuracy | 65 |
Domain Adaptation > Domain Generalization | TerraIncognita | MIRO (RegNetY-16GF, SWAD) | https://arxiv.org/abs/2203.10789v2 | Average Accuracy | 64.3 |
Domain Adaptation > Domain Generalization | TerraIncognita | CAR-FT (CLIP, ViT-B/16) | https://arxiv.org/abs/2211.16175v1 | Average Accuracy | 61.9 |
Domain Adaptation > Domain Generalization | TerraIncognita | Ensemble of Averages (RegNetY-16GF) | https://arxiv.org/abs/2110.10832v4 | Average Accuracy | 61.1 |
Domain Adaptation > Domain Generalization | TerraIncognita | GMDG (RegNetY-16GF) | https://arxiv.org/abs/2402.18853v2 | Average Accuracy | 60.7 |
Domain Adaptation > Domain Generalization | TerraIncognita | SIMPLE+ | https://openreview.net/forum?id=BqrPeZ_e5P | Average Accuracy | 59.0 |
Domain Adaptation > Domain Generalization | TerraIncognita | VL2V-SD (CLIP, ViT-B/16) | https://arxiv.org/abs/2310.08255v2 | Average Accuracy | 58.54 |
Domain Adaptation > Domain Generalization | TerraIncognita | SIMPLE | https://openreview.net/forum?id=BqrPeZ_e5P | Average Accuracy | 57.6 |
Domain Adaptation > Domain Generalization | TerraIncognita | SEDGE+ | https://arxiv.org/abs/2203.04600v1 | Average Accuracy | 56.8 |
Domain Adaptation > Domain Generalization | TerraIncognita | SEDGE | https://arxiv.org/abs/2203.04600v1 | Average Accuracy | 56.8 |
Domain Adaptation > Domain Generalization | TerraIncognita | CADG | https://arxiv.org/abs/2203.17067v3 | Average Accuracy | 55.7 |
Domain Adaptation > Domain Generalization | TerraIncognita | Ensemble of Averages (ResNeXt-50 32x4d) | https://arxiv.org/abs/2110.10832v4 | Average Accuracy | 55.2 |
Domain Adaptation > Domain Generalization | TerraIncognita | EOQ (ResNet-50) | https://arxiv.org/abs/2410.06020v1 | Average Accuracy | 53.2 |
Domain Adaptation > Domain Generalization | TerraIncognita | GMDG (ResNet-50, SWAD) | https://arxiv.org/abs/2402.18853v2 | Average Accuracy | 53.0 |
Domain Adaptation > Domain Generalization | TerraIncognita | MIRO (ResNet-50, SWAD) | https://arxiv.org/abs/2203.10789v2 | Average Accuracy | 52.9 |
Domain Adaptation > Domain Generalization | TerraIncognita | MoA (OpenCLIP, ViT-B/16) | https://arxiv.org/abs/2310.11031v2 | Average Accuracy | 52.8 |
Domain Adaptation > Domain Generalization | TerraIncognita | Ensemble of Averages (ResNet-50) | https://arxiv.org/abs/2110.10832v4 | Average Accuracy | 52.3 |
Domain Adaptation > Domain Generalization | TerraIncognita | Model Ratatouille | https://arxiv.org/abs/2212.10445v3 | Average Accuracy | 52 |
Domain Adaptation > Domain Generalization | TerraIncognita | VNE (ResNet-50, SWAD) | https://arxiv.org/abs/2304.01434v1 | Average Accuracy | 51.7 |
Domain Adaptation > Domain Generalization | TerraIncognita | GMDG (ResNet-50) | https://arxiv.org/abs/2402.18853v2 | Average Accuracy | 51.1 |
Domain Adaptation > Domain Generalization | TerraIncognita | QT-DoG (ResNet-50) | https://arxiv.org/abs/2410.06020v1 | Average Accuracy | 50.8 |
Domain Adaptation > Domain Generalization | TerraIncognita | AdaClust (ResNet-50, SWAD) | https://arxiv.org/abs/2112.04766v2 | Average Accuracy | 50.6 |
Domain Adaptation > Domain Generalization | TerraIncognita | SPG (CLIP, ViT-B/16) | https://arxiv.org/abs/2404.19286v2 | Average Accuracy | 50.2 |
Domain Adaptation > Domain Generalization | TerraIncognita | SWAD (ResNet-50) | https://arxiv.org/abs/2102.08604v4 | Average Accuracy | 50.0 |
Domain Adaptation > Domain Generalization | TerraIncognita | POEM | https://arxiv.org/abs/2305.13046v1 | Average Accuracy | 49.5 |
Domain Adaptation > Domain Generalization | TerraIncognita | DREAME | https://arxiv.org/abs/2112.09802v3 | Average Accuracy | 48.66 |
Domain Adaptation > Domain Generalization | TerraIncognita | GMoE-S/16 | https://arxiv.org/abs/2206.04046v6 | Average Accuracy | 48.5 |
Domain Adaptation > Domain Generalization | TerraIncognita | AdaClust (ResNet-50) | https://arxiv.org/abs/2112.04766v2 | Average Accuracy | 48.1 |
Domain Adaptation > Domain Generalization | TerraIncognita | Fishr(ResNet-50) | https://arxiv.org/abs/2109.02934v3 | Average Accuracy | 47.4 |
Domain Adaptation > Domain Generalization | NICO Animal | NAS-OoD | https://arxiv.org/abs/2109.02038v1 | Accuracy | 88.72 |
Domain Adaptation > Domain Generalization | NICO Animal | DecAug (Resnet-18) | https://arxiv.org/abs/2012.09382v1 | Accuracy | 85.23 |
Domain Adaptation > Domain Generalization | NICO Animal | JiGen (Resnet-18) | http://arxiv.org/abs/1903.06864v2 | Accuracy | 84.95 |
Domain Adaptation > Domain Generalization | NICO Animal | CORAL (Resnet-18) | http://arxiv.org/abs/1607.01719v1 | Accuracy | 80.27 |
Domain Adaptation > Domain Generalization | NICO Animal | DRO (Resnet-18) | https://arxiv.org/abs/1911.08731v2 | Accuracy | 77.61 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | Crafting-Shifts(ResNet18) | https://arxiv.org/abs/2409.19774v1 | Accuracy | 70.37 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | MCL (ResNet18) | https://arxiv.org/abs/2304.03709v1 | Accuracy | 69.86 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | ProRandConv (ResNet18) | https://arxiv.org/abs/2304.00424v1 | Accuracy | 68.88 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | CADA (ResNet18) | https://ieeexplore.ieee.org/document/10031006 | Accuracy | 68.41 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | ITTA (ResNet18) | https://arxiv.org/abs/2304.04494v2 | Accuracy | 68.4 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | XDED (ResNet18) | https://arxiv.org/abs/2211.14058v1 | Accuracy | 66.5 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | ABA (ResNet18) | https://arxiv.org/abs/2307.09520v2 | Accuracy | 66.36 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | GeoTexAug (ResNet18) | http://openaccess.thecvf.com//content/CVPR2022/html/Liu_Geometric_and_Textural_Augmentation_for_Domain_Gap_Reduction_CVPR_2022_paper.html | Accuracy | 65.0 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | SagNet (ResNet18) | https://arxiv.org/abs/1910.11645v4 | Accuracy | 61.9 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.