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 ⌀ |
|---|---|---|---|---|---|
16k > Object Detection | PASCAL VOC 2007 | I+ORE | http://arxiv.org/abs/1708.04896v2 | MAP | 76.2% |
16k > Object Detection | PASCAL VOC 2007 | Perona Malik (Perona and Malik, 1990) | https://arxiv.org/abs/2011.01901v3 | MAP | 74.37% |
16k > Object Detection | PASCAL VOC 2007 | FRCN | http://arxiv.org/abs/1704.03414v1 | MAP | 74.2% |
16k > Object Detection | PASCAL VOC 2007 | VGG-16 + KL Loss + var voting + soft-NMS | http://arxiv.org/abs/1809.08545v3 | MAP | 71.6% |
16k > Object Detection | PASCAL VOC 2007 | Fast R-CNN | http://arxiv.org/abs/1504.08083v2 | MAP | 70.0% |
16k > Object Detection | PASCAL VOC 2007 | subCNN | http://arxiv.org/abs/1604.04693v3 | MAP | 68.5% |
16k > Object Detection | PASCAL VOC 2007 | YOLO | http://arxiv.org/abs/1506.02640v5 | MAP | 63.4% |
16k > Object Detection | PASCAL VOC 2007 | SPP(combination) | http://arxiv.org/abs/1406.4729v4 | MAP | 60.9% |
16k > Object Detection | PASCAL VOC 2007 | R-CNN | http://arxiv.org/abs/1311.2524v5 | MAP | 58.5% |
16k > Object Detection | PASCAL VOC 2007 | Deformable Parts Model (DeepPyramid) | http://arxiv.org/abs/1409.5403v2 | MAP | 45.2% |
16k > Object Detection | PASCAL VOC 2007 | TinyissimoYOLO-v8 | https://arxiv.org/abs/2311.01057v2 | MAP | 42.3% |
16k > Object Detection | PASCAL VOC 2007 | FemotoDet | https://arxiv.org/abs/2301.06719v5 | MAP | 22.90% |
16k > Object Detection | PASCAL VOC 2007 | FemotoDet | https://arxiv.org/abs/2301.06719v5 | AP50 | 46.31 |
16k > Object Detection | PASCAL VOC 2007 | YOLOv7+Inner-IoU | https://arxiv.org/abs/2311.02877v4 | mAP@50 | 64.44 |
16k > Object Detection | PASCAL VOC 2007 | YOLOv7+Inner-IoU | https://arxiv.org/abs/2311.02877v4 | mAP@50-95 | 38.52 |
16k > Object Detection | FlickrLogos-32 | Logo-Yolo | https://arxiv.org/abs/2008.05359v1 | MAP | 76.11 |
16k > Object Detection | FlickrLogos-32 | DeepLogo (VGG) | http://arxiv.org/abs/1510.02131v1 | MAP | 74.4 |
16k > Object Detection | FlickrLogos-32 | DeepLogo (AlexNet) | http://arxiv.org/abs/1510.02131v1 | MAP | 73.5 |
16k > Object Detection | ExDark | EMV-YOLO | https://bmva-archive.org.uk/bmvc/2024/papers/Paper_262/paper.pdf | mAP | 79.7% |
16k > Object Detection | STCrowd | MMPedestron | https://arxiv.org/abs/2407.10125v1 | AP | 74.9 |
16k > Object Detection | STCrowd | FPN-Fusion | https://hal.archives-ouvertes.fr/hal-03591717/ | AP | 61.5 |
16k > Object Detection | STCrowd | CMX | https://arxiv.org/abs/2203.04838v5 | AP | 61.0 |
16k > Object Detection | STCrowd | ProbEN | https://arxiv.org/abs/2104.02904v3 | AP | 60.0 |
16k > Object Detection | STCrowd | Early-Fusion | http://arxiv.org/abs/1611.02644v1 | AP | 54.4 |
16k > Object Detection | STCrowd | HRFuser | https://arxiv.org/abs/2206.15157v3 | AP | 49.0 |
16k > Object Detection | COCO minival | PE_spatial (DETA) | https://arxiv.org/abs/2504.13181v1 | box AP | 66.0 |
16k > Object Detection | COCO minival | PE_spatial (DETA) | https://arxiv.org/abs/2504.13181v1 | Params (M) | 1900 |
16k > Object Detection | COCO minival | Co-DETR | https://arxiv.org/abs/2211.12860v5 | box AP | 65.9 |
16k > Object Detection | COCO minival | Co-DETR | https://arxiv.org/abs/2211.12860v5 | Params (M) | 314 |
16k > Object Detection | COCO minival | M3I Pre-training (InternImage-H) | https://arxiv.org/abs/2211.09807v2 | box AP | 65.0 |
16k > Object Detection | COCO minival | InternImage-H | https://arxiv.org/abs/2211.05778v4 | box AP | 65.0 |
16k > Object Detection | COCO minival | Co-DETR (Swin-L) | https://arxiv.org/abs/2211.12860v5 | box AP | 64.7 |
16k > Object Detection | COCO minival | Co-DETR (Swin-L) | https://arxiv.org/abs/2211.12860v5 | Params (M) | 218 |
16k > Object Detection | COCO minival | Focal-Stable-DINO (Focal-Huge, no TTA) | https://arxiv.org/abs/2304.13027v1 | box AP | 64.6 |
16k > Object Detection | COCO minival | Focal-Stable-DINO (Focal-Huge, no TTA) | https://arxiv.org/abs/2304.13027v1 | AP50 | 81.5 |
16k > Object Detection | COCO minival | Focal-Stable-DINO (Focal-Huge, no TTA) | https://arxiv.org/abs/2304.13027v1 | AP75 | 71.4 |
16k > Object Detection | COCO minival | Focal-Stable-DINO (Focal-Huge, no TTA) | https://arxiv.org/abs/2304.13027v1 | APS | 50.4 |
16k > Object Detection | COCO minival | Focal-Stable-DINO (Focal-Huge, no TTA) | https://arxiv.org/abs/2304.13027v1 | APM | 68.5 |
16k > Object Detection | COCO minival | Focal-Stable-DINO (Focal-Huge, no TTA) | https://arxiv.org/abs/2304.13027v1 | APL | 78.5 |
16k > Object Detection | COCO minival | Focal-Stable-DINO (Focal-Huge, no TTA) | https://arxiv.org/abs/2304.13027v1 | Params (M) | 689 |
16k > Object Detection | COCO minival | EVA | https://arxiv.org/abs/2211.07636v2 | box AP | 64.5 |
16k > Object Detection | COCO minival | EVA | https://arxiv.org/abs/2211.07636v2 | AP50 | 82.1 |
16k > Object Detection | COCO minival | EVA | https://arxiv.org/abs/2211.07636v2 | AP75 | 70.8 |
16k > Object Detection | COCO minival | EVA | https://arxiv.org/abs/2211.07636v2 | APS | 49.4 |
16k > Object Detection | COCO minival | EVA | https://arxiv.org/abs/2211.07636v2 | APM | 68.4 |
16k > Object Detection | COCO minival | EVA | https://arxiv.org/abs/2211.07636v2 | APL | 78.5 |
16k > Object Detection | COCO minival | ViT-CoMer | https://openreview.net/forum?id=srPMwpkWbR&invitationId=thecvf.com/CVPR/2024/Conference/Submission1221/-/Camera_Ready_Revision&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3Dthecvf.com%2FCVPR%2F2024%2FConference%2FAuthors%23author-tasks) | box AP | 64.3 |
16k > Object Detection | COCO minival | ViT-CoMer | https://openreview.net/forum?id=srPMwpkWbR&invitationId=thecvf.com/CVPR/2024/Conference/Submission1221/-/Camera_Ready_Revision&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3Dthecvf.com%2FCVPR%2F2024%2FConference%2FAuthors%23author-tasks) | Params (M) | 363 |
16k > Object Detection | COCO minival | FocalNet-H (DINO) | https://arxiv.org/abs/2203.11926v3 | box AP | 64.2 |
16k > Object Detection | COCO minival | InternImage-XL | https://arxiv.org/abs/2211.05778v4 | box AP | 64.2 |
16k > Object Detection | COCO minival | CP-DETR-L Swin-L(Fine tuning separately in COCO) | https://arxiv.org/abs/2412.09799v1 | box AP | 64.1 |
16k > Object Detection | COCO minival | RevCol-H(DINO) | https://arxiv.org/abs/2212.11696v3 | box AP | 63.8 |
16k > Object Detection | COCO minival | DINO (Swin-L) | https://arxiv.org/abs/2203.03605v4 | box AP | 63.2 |
16k > Object Detection | COCO minival | Grounding DINO | https://arxiv.org/abs/2303.05499v5 | box AP | 63.0 |
16k > Object Detection | COCO minival | SwinV2-G (HTC++) | https://arxiv.org/abs/2111.09883v2 | box AP | 62.5 |
16k > Object Detection | COCO minival | Florence-CoSwin-H | https://arxiv.org/abs/2111.11432v1 | box AP | 62 |
16k > Object Detection | COCO minival | GLEE-Pro | https://arxiv.org/abs/2312.09158v1 | box AP | 62.0 |
16k > Object Detection | COCO minival | ViTDet, ViT-H Cascade (multiscale) | https://arxiv.org/abs/2203.16527v2 | box AP | 61.3 |
16k > Object Detection | COCO minival | GLIP (Swin-L, multi-scale) | https://arxiv.org/abs/2112.03857v2 | box AP | 60.8 |
16k > Object Detection | COCO minival | Soft Teacher + Swin-L (HTC++, multi-scale) | https://arxiv.org/abs/2106.09018v3 | box AP | 60.7 |
16k > Object Detection | COCO minival | UNINEXT-H | https://arxiv.org/abs/2303.06674v2 | box AP | 60.6 |
16k > Object Detection | COCO minival | UNINEXT-H | https://arxiv.org/abs/2303.06674v2 | AP50 | 77.5 |
16k > Object Detection | COCO minival | UNINEXT-H | https://arxiv.org/abs/2303.06674v2 | AP75 | 66.7 |
16k > Object Detection | COCO minival | UNINEXT-H | https://arxiv.org/abs/2303.06674v2 | APS | 45.1 |
16k > Object Detection | COCO minival | UNINEXT-H | https://arxiv.org/abs/2303.06674v2 | APM | 64.8 |
16k > Object Detection | COCO minival | UNINEXT-H | https://arxiv.org/abs/2303.06674v2 | APL | 75.3 |
16k > Object Detection | COCO minival | ViT-Adapter-L (HTC++, BEiTv2 pretrain, multi-scale) | https://arxiv.org/abs/2205.08534v4 | box AP | 60.5 |
16k > Object Detection | COCO minival | ViTDet, ViT-H Cascade | https://arxiv.org/abs/2203.16527v2 | box AP | 60.4 |
16k > Object Detection | COCO minival | GLEE-Plus | https://arxiv.org/abs/2312.09158v1 | box AP | 60.4 |
16k > Object Detection | COCO minival | DyHead (Swin-L, multi scale, self-training) | https://arxiv.org/abs/2106.08322v1 | box AP | 60.3 |
16k > Object Detection | COCO minival | DyHead (Swin-L, multi scale, self-training) | https://arxiv.org/abs/2106.08322v1 | AP50 | 78.2 |
16k > Object Detection | COCO minival | DyHead (Swin-L, multi scale, self-training) | https://arxiv.org/abs/2106.08322v1 | APL | 74.2 |
16k > Object Detection | COCO minival | ViT-Adapter-L (HTC++, BEiT pretrain, multi-scale) | https://arxiv.org/abs/2205.08534v4 | box AP | 60.2 |
16k > Object Detection | COCO minival | Soft Teacher+Swin-L(HTC++, single scale) | https://arxiv.org/abs/2106.09018v3 | box AP | 60.1 |
16k > Object Detection | COCO minival | CBNetV2 (Dual-Swin-L HTC, multi-scale) | https://arxiv.org/abs/2107.00420v7 | box AP | 59.6 |
16k > Object Detection | COCO minival | Frozen Backbone, SwinV2-G-ext22K (HTC) | https://arxiv.org/abs/2211.02043v1 | box AP | 59.3 |
16k > Object Detection | COCO minival | HorNet-L | https://arxiv.org/abs/2207.14284v3 | box AP | 59.2 |
16k > Object Detection | COCO minival | MOAT-3 (IN-22K pretraining, single-scale) | https://arxiv.org/abs/2210.01820v2 | box AP | 59.2 |
16k > Object Detection | COCO minival | CBNetV2 (Dual-Swin-L HTC, multi-scale) | https://arxiv.org/abs/2107.00420v7 | box AP | 59.1 |
16k > Object Detection | COCO minival | Focal-L (DyHead, multi-scale) | https://arxiv.org/abs/2107.00641v1 | box AP | 58.7 |
16k > Object Detection | COCO minival | Focal-L (DyHead, multi-scale) | https://arxiv.org/abs/2107.00641v1 | AP50 | 77.2 |
16k > Object Detection | COCO minival | Focal-L (DyHead, multi-scale) | https://arxiv.org/abs/2107.00641v1 | APL | 73.4 |
16k > Object Detection | COCO minival | MViTv2-L (Cascade Mask R-CNN, multi-scale, IN21k pre-train) | https://arxiv.org/abs/2112.01526v2 | box AP | 58.7 |
16k > Object Detection | COCO minival | MOAT-2 (IN-22K pretraining, single-scale) | https://arxiv.org/abs/2210.01820v2 | box AP | 58.5 |
16k > Object Detection | COCO minival | DyHead (Swin-L, multi scale) | https://arxiv.org/abs/2106.08322v1 | box AP | 58.4 |
16k > Object Detection | COCO minival | DyHead (Swin-L, multi scale) | https://arxiv.org/abs/2106.08322v1 | AP50 | 76.8 |
16k > Object Detection | COCO minival | DyHead (Swin-L, multi scale) | https://arxiv.org/abs/2106.08322v1 | APS | 44.5 |
16k > Object Detection | COCO minival | DyHead (Swin-L, multi scale) | https://arxiv.org/abs/2106.08322v1 | APM | 62.2 |
16k > Object Detection | COCO minival | DyHead (Swin-L, multi scale) | https://arxiv.org/abs/2106.08322v1 | APL | 73.2 |
16k > Object Detection | COCO minival | Swin-L (HTC++, multi scale) | https://arxiv.org/abs/2103.14030v2 | box AP | 58 |
16k > Object Detection | COCO minival | MOAT-1 (IN-1K pretraining, single-scale) | https://arxiv.org/abs/2210.01820v2 | box AP | 57.7 |
16k > Object Detection | COCO minival | UM-MAE(HTC++, Swin-L, IN1K) | https://arxiv.org/abs/2205.10063v1 | box AP | 57.4 |
16k > Object Detection | COCO minival | YOLOv6-L6(46 fps, 1280, V100) | https://arxiv.org/abs/2301.05586v1 | box AP | 57.2 |
16k > Object Detection | COCO minival | YOLOv6-L6(46 fps, 1280, V100) | https://arxiv.org/abs/2301.05586v1 | AP50 | 74.5 |
16k > Object Detection | COCO minival | Swin-L (HTC++, single scale) | https://arxiv.org/abs/2103.14030v2 | box AP | 57.1 |
16k > Object Detection | COCO minival | TransNeXt-Base (IN-1K pretrain, DINO 1x) | https://arxiv.org/abs/2311.17132v3 | box AP | 57.1 |
16k > Object Detection | COCO minival | Cascade Eff-B7 NAS-FPN (1280, self-training Copy Paste, single-scale) | https://arxiv.org/abs/2012.07177v2 | box AP | 57.0 |
16k > Object Detection | COCO minival | TransNeXt-Small (IN-1K pretrain, DINO 1x) | https://arxiv.org/abs/2311.17132v3 | box AP | 56.6 |
16k > Object Detection | COCO minival | QueryInst (single scale) | https://arxiv.org/abs/2105.01928v3 | box AP | 56.1 |
16k > Object Detection | COCO minival | QueryInst (single scale) | https://arxiv.org/abs/2105.01928v3 | AP50 | 75.8 |
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