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 | COCO minival | QueryInst (single scale) | https://arxiv.org/abs/2105.01928v3 | AP75 | 61.7 |
16k > Object Detection | COCO minival | QueryInst (single scale) | https://arxiv.org/abs/2105.01928v3 | APS | 40.2 |
16k > Object Detection | COCO minival | QueryInst (single scale) | https://arxiv.org/abs/2105.01928v3 | APM | 59.8 |
16k > Object Detection | COCO minival | QueryInst (single scale) | https://arxiv.org/abs/2105.01928v3 | APL | 71.5 |
16k > Object Detection | COCO minival | MViTv2-H (Cascade Mask R-CNN, single-scale, IN21k pre-train) | https://arxiv.org/abs/2112.01526v2 | box AP | 56.1 |
16k > Object Detection | COCO minival | MOAT-0 (IN-1K pretraining, single-scale) | https://arxiv.org/abs/2210.01820v2 | box AP | 55.9 |
16k > Object Detection | COCO minival | TransNeXt-Tiny (IN-1K pretrain, DINO 1x) | https://arxiv.org/abs/2311.17132v3 | box AP | 55.7 |
16k > Object Detection | COCO minival | YOLOv4-P7 CSP-P7 (single-scale, 16 fps) | https://arxiv.org/abs/2011.08036v2 | box AP | 55.4 |
16k > Object Detection | COCO minival | YOLOv4-P7 CSP-P7 (single-scale, 16 fps) | https://arxiv.org/abs/2011.08036v2 | AP50 | 73.3 |
16k > Object Detection | COCO minival | YOLOv4-P7 CSP-P7 (single-scale, 16 fps) | https://arxiv.org/abs/2011.08036v2 | AP75 | 60.7 |
16k > Object Detection | COCO minival | YOLOv4-P7 CSP-P7 (single-scale, 16 fps) | https://arxiv.org/abs/2011.08036v2 | APS | 38.1 |
16k > Object Detection | COCO minival | YOLOv4-P7 CSP-P7 (single-scale, 16 fps) | https://arxiv.org/abs/2011.08036v2 | APM | 59.5 |
16k > Object Detection | COCO minival | YOLOv4-P7 CSP-P7 (single-scale, 16 fps) | https://arxiv.org/abs/2011.08036v2 | APL | 67.4 |
16k > Object Detection | COCO minival | tiny-MOAT-3 (IN-1K pretraining, single-scale) | https://arxiv.org/abs/2210.01820v2 | box AP | 55.2 |
16k > Object Detection | COCO minival | FAN-L-Hybrid | https://arxiv.org/abs/2204.12451v4 | box AP | 55.1 |
16k > Object Detection | COCO minival | Hiera-L | https://arxiv.org/abs/2306.00989v1 | box AP | 55 |
16k > Object Detection | COCO minival | GLEE-Lite | https://arxiv.org/abs/2312.09158v1 | box AP | 55.0 |
16k > Object Detection | COCO minival | TEC(VIT-B, Mask-RCNN) | https://arxiv.org/abs/2210.11016v1 | box AP | 54.6 |
16k > Object Detection | COCO minival | Cascade Eff-B7 NAS-FPN (1280) | https://arxiv.org/abs/2012.07177v2 | box AP | 54.5 |
16k > Object Detection | COCO minival | CAE (ViT-L, Mask R-CNN, 1x schedule) | https://arxiv.org/abs/2202.03026v3 | box AP | 54.5 |
16k > Object Detection | COCO minival | MViTv2-L (Cascade Mask R-CNN, single-scale) | https://arxiv.org/abs/2112.01526v2 | box AP | 54.3 |
16k > Object Detection | COCO minival | SpineNet-190 (1280, with Self-training on OpenImages, single-scale) | https://arxiv.org/abs/2006.06882v2 | box AP | 54.2 |
16k > Object Detection | COCO minival | Cascade RCNN-RS (SpineNet-143L, single scale) | https://arxiv.org/abs/2107.00057v1 | box AP | 53.6 |
16k > Object Detection | COCO minival | Cascade RCNN-RS (SpineNet-143L, single scale) | https://arxiv.org/abs/2107.00057v1 | APS | 34.5 |
16k > Object Detection | COCO minival | Cascade RCNN-RS (SpineNet-143L, single scale) | https://arxiv.org/abs/2107.00057v1 | APM | 56.7 |
16k > Object Detection | COCO minival | Cascade RCNN-RS (SpineNet-143L, single scale) | https://arxiv.org/abs/2107.00057v1 | APL | 70.6 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, multi-scale) | https://arxiv.org/abs/2103.14027v3 | box AP | 53.5 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, multi-scale) | https://arxiv.org/abs/2103.14027v3 | AP50 | 70.8 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, multi-scale) | https://arxiv.org/abs/2103.14027v3 | AP75 | 58.9 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, multi-scale) | https://arxiv.org/abs/2103.14027v3 | APS | 36.9 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, multi-scale) | https://arxiv.org/abs/2103.14027v3 | APM | 57.5 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, multi-scale) | https://arxiv.org/abs/2103.14027v3 | APL | 68.1 |
16k > Object Detection | COCO minival | MAE (ViT-L, Mask R-CNN) | https://arxiv.org/abs/2111.06377v2 | box AP | 53.3 |
16k > Object Detection | COCO minival | Cascade RCNN-RS (ResNet-200, single scale) | https://arxiv.org/abs/2107.00057v1 | box AP | 53.1 |
16k > Object Detection | COCO minival | Cascade RCNN-RS (ResNet-200, single scale) | https://arxiv.org/abs/2107.00057v1 | APS | 33.9 |
16k > Object Detection | COCO minival | Cascade RCNN-RS (ResNet-200, single scale) | https://arxiv.org/abs/2107.00057v1 | APM | 56.2 |
16k > Object Detection | COCO minival | Cascade RCNN-RS (ResNet-200, single scale) | https://arxiv.org/abs/2107.00057v1 | APL | 70.3 |
16k > Object Detection | COCO minival | tiny-MOAT-2 (IN-1K pretraining, single-scale) | https://arxiv.org/abs/2210.01820v2 | box AP | 53.0 |
16k > Object Detection | COCO minival | MViT-L (Mask R-CNN, single-scale, IN21k pre-train) | https://arxiv.org/abs/2112.01526v2 | box AP | 52.7 |
16k > Object Detection | COCO minival | ResNeSt-200 (multi-scale) | https://arxiv.org/abs/2004.08955v2 | box AP | 52.47 |
16k > Object Detection | COCO minival | ResNeSt-200 (multi-scale) | https://arxiv.org/abs/2004.08955v2 | AP50 | 71.00 |
16k > Object Detection | COCO minival | ResNeSt-200 (multi-scale) | https://arxiv.org/abs/2004.08955v2 | AP75 | 57.07 |
16k > Object Detection | COCO minival | ResNeSt-200 (multi-scale) | https://arxiv.org/abs/2004.08955v2 | APS | 36.80 |
16k > Object Detection | COCO minival | ResNeSt-200 (multi-scale) | https://arxiv.org/abs/2004.08955v2 | APM | 56.36 |
16k > Object Detection | COCO minival | ResNeSt-200 (multi-scale) | https://arxiv.org/abs/2004.08955v2 | APL | 66.29 |
16k > Object Detection | COCO minival | ActiveMLP-B (Cascade Mask R-CNN) | https://arxiv.org/abs/2203.06108v2 | box AP | 52.3 |
16k > Object Detection | COCO minival | RetinaNet (SpineNet-190, 1536x1536) | https://arxiv.org/abs/1912.05027v3 | box AP | 52.2 |
16k > Object Detection | COCO minival | EfficientDet-D7 (1536) | https://arxiv.org/abs/1911.09070v7 | box AP | 52.1 |
16k > Object Detection | COCO minival | tiny-MOAT-1 (IN-1K pretraining, single-scale) | https://arxiv.org/abs/2210.01820v2 | box AP | 51.9 |
16k > Object Detection | COCO minival | GCNet (ResNeXt-101 + DCN + cascade + GC r4) | https://arxiv.org/abs/2012.13375v1 | box AP | 51.8 |
16k > Object Detection | COCO minival | GCNet (ResNeXt-101 + DCN + cascade + GC r4) | https://arxiv.org/abs/2012.13375v1 | AP50 | 70.4 |
16k > Object Detection | COCO minival | GCNet (ResNeXt-101 + DCN + cascade + GC r4) | https://arxiv.org/abs/2012.13375v1 | AP75 | 56.1 |
16k > Object Detection | COCO minival | ELSA-S (Cascade Mask RCNN) | https://arxiv.org/abs/2112.12786v1 | box AP | 51.6 |
16k > Object Detection | COCO minival | ELSA-S (Cascade Mask RCNN) | https://arxiv.org/abs/2112.12786v1 | AP50 | 70.5 |
16k > Object Detection | COCO minival | ELSA-S (Cascade Mask RCNN) | https://arxiv.org/abs/2112.12786v1 | AP75 | 56.0 |
16k > Object Detection | COCO minival | FocalNet-T (LRF, Cascade Mask R-CNN) | https://arxiv.org/abs/2203.11926v3 | box AP | 51.5 |
16k > Object Detection | COCO minival | FocalNet-T (LRF, Cascade Mask R-CNN) | https://arxiv.org/abs/2203.11926v3 | AP50 | 70.3 |
16k > Object Detection | COCO minival | FocalNet-T (LRF, Cascade Mask R-CNN) | https://arxiv.org/abs/2203.11926v3 | AP75 | 56.0 |
16k > Object Detection | COCO minival | DINO-5scale (24 epoch) | https://arxiv.org/abs/2203.03605v4 | box AP | 51.3 |
16k > Object Detection | COCO minival | DINO-5scale (24 epoch) | https://arxiv.org/abs/2203.03605v4 | AP50 | 69.1 |
16k > Object Detection | COCO minival | DINO-5scale (24 epoch) | https://arxiv.org/abs/2203.03605v4 | AP75 | 56 |
16k > Object Detection | COCO minival | DINO-5scale (24 epoch) | https://arxiv.org/abs/2203.03605v4 | APS | 34.5 |
16k > Object Detection | COCO minival | DINO-5scale (24 epoch) | https://arxiv.org/abs/2203.03605v4 | APM | 54.2 |
16k > Object Detection | COCO minival | DINO-5scale (24 epoch) | https://arxiv.org/abs/2203.03605v4 | APL | 65.8 |
16k > Object Detection | COCO minival | DINO-5scale (36 epoch) | https://arxiv.org/abs/2203.03605v4 | box AP | 51.2 |
16k > Object Detection | COCO minival | DINO-5scale (36 epoch) | https://arxiv.org/abs/2203.03605v4 | AP50 | 69 |
16k > Object Detection | COCO minival | DINO-5scale (36 epoch) | https://arxiv.org/abs/2203.03605v4 | AP75 | 55.8 |
16k > Object Detection | COCO minival | DINO-5scale (36 epoch) | https://arxiv.org/abs/2203.03605v4 | APS | 35 |
16k > Object Detection | COCO minival | DINO-5scale (36 epoch) | https://arxiv.org/abs/2203.03605v4 | APM | 54.3 |
16k > Object Detection | COCO minival | DINO-5scale (36 epoch) | https://arxiv.org/abs/2203.03605v4 | APL | 65.3 |
16k > Object Detection | COCO minival | ResNeSt-200-DCN (single-scale) | https://arxiv.org/abs/2004.08955v2 | box AP | 50.91 |
16k > Object Detection | COCO minival | ResNeSt-200-DCN (single-scale) | https://arxiv.org/abs/2004.08955v2 | AP50 | 69.53 |
16k > Object Detection | COCO minival | ResNeSt-200-DCN (single-scale) | https://arxiv.org/abs/2004.08955v2 | AP75 | 55.40 |
16k > Object Detection | COCO minival | ResNeSt-200-DCN (single-scale) | https://arxiv.org/abs/2004.08955v2 | APS | 32.67 |
16k > Object Detection | COCO minival | ResNeSt-200-DCN (single-scale) | https://arxiv.org/abs/2004.08955v2 | APM | 54.66 |
16k > Object Detection | COCO minival | ResNeSt-200-DCN (single-scale) | https://arxiv.org/abs/2004.08955v2 | APL | 65.83 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | box AP | 50.9 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | AP50 | 69.5 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | AP75 | 55.4 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | APS | 33.5 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | APM | 55.5 |
16k > Object Detection | COCO minival | UniverseNet-20.08d (Res2Net-101, DCN, single-scale) | https://arxiv.org/abs/2103.14027v3 | APL | 65.8 |
16k > Object Detection | COCO minival | ResNeSt-200 (single-scale) | https://arxiv.org/abs/2004.08955v2 | box AP | 50.54 |
16k > Object Detection | COCO minival | ResNeSt-200 (single-scale) | https://arxiv.org/abs/2004.08955v2 | AP50 | 68.78 |
16k > Object Detection | COCO minival | ResNeSt-200 (single-scale) | https://arxiv.org/abs/2004.08955v2 | AP75 | 55.17 |
16k > Object Detection | COCO minival | ResNeSt-200 (single-scale) | https://arxiv.org/abs/2004.08955v2 | APM | 54.2 |
16k > Object Detection | COCO minival | ResNeSt-200 (single-scale) | https://arxiv.org/abs/2004.08955v2 | APL | 63.9 |
16k > Object Detection | COCO minival | tiny-MOAT-0 (IN-1K pretraining, single-scale) | https://arxiv.org/abs/2210.01820v2 | box AP | 50.5 |
16k > Object Detection | COCO minival | MAE (ViT-B, Mask R-CNN) | https://arxiv.org/abs/2111.06377v2 | box AP | 50.3 |
16k > Object Detection | COCO minival | Sparse R-CNN (PVTv2-B2) | https://arxiv.org/abs/2106.13797v7 | box AP | 50.1 |
16k > Object Detection | COCO minival | Sparse R-CNN (PVTv2-B2) | https://arxiv.org/abs/2106.13797v7 | AP50 | 69.5 |
16k > Object Detection | COCO minival | Sparse R-CNN (PVTv2-B2) | https://arxiv.org/abs/2106.13797v7 | AP75 | 54.9 |
16k > Object Detection | COCO minival | Pix2seq (ViT-L) | https://arxiv.org/abs/2109.10852v2 | box AP | 50.0 |
16k > Object Detection | COCO minival | DaViT-T (Mask R-CNN, 36 epochs) | https://arxiv.org/abs/2204.03645v1 | box AP | 49.9 |
16k > Object Detection | COCO minival | BoTNet 200 (Mask R-CNN, single scale, 72 epochs) | https://arxiv.org/abs/2101.11605v2 | box AP | 49.7 |
16k > Object Detection | COCO minival | BoTNet 200 (Mask R-CNN, single scale, 72 epochs) | https://arxiv.org/abs/2101.11605v2 | AP50 | 71.3 |
16k > Object Detection | COCO minival | BoTNet 200 (Mask R-CNN, single scale, 72 epochs) | https://arxiv.org/abs/2101.11605v2 | AP75 | 54.6 |
16k > Object Detection | COCO minival | BoTNet 152 (Mask R-CNN, single scale, 72 epochs) | https://arxiv.org/abs/2101.11605v2 | box AP | 49.5 |
16k > Object Detection | COCO minival | BoTNet 152 (Mask R-CNN, single scale, 72 epochs) | https://arxiv.org/abs/2101.11605v2 | AP50 | 71 |
16k > Object Detection | COCO minival | BoTNet 152 (Mask R-CNN, single scale, 72 epochs) | https://arxiv.org/abs/2101.11605v2 | AP75 | 54.2 |
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