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 > Few-Shot Object Detection > Cross-Domain Few-Shot Object Detection | UODD | CD-ViTO | https://arxiv.org/abs/2402.03094v4 | mAP | 7.0 |
16k > Object Detection > Few-Shot Object Detection > Cross-Domain Few-Shot Object Detection | UODD | DE-ViT-FT | https://arxiv.org/abs/2309.12969v4 | mAP | 5.4 |
16k > Object Detection > Few-Shot Object Detection > Cross-Domain Few-Shot Object Detection | UODD | DE-ViT(w/o FT) | https://arxiv.org/abs/2309.12969v4 | mAP | 3.1 |
16k > Object Detection > Few-Shot Object Detection > Cross-Domain Few-Shot Object Detection | UODD | Detic(w/o FT) | https://arxiv.org/abs/2201.02605v3 | mAP | 0.0 |
16k > Object Detection > Open Vocabulary Object Detection | Objects365 | Object-Centric-OVD | https://arxiv.org/abs/2207.03482v3 | mask AP50 | 22.3 |
16k > Object Detection > Open Vocabulary Object Detection | Objects365 | ViLD | https://arxiv.org/abs/2104.13921v3 | mask AP50 | 18.2 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | LaMI-DETR | https://arxiv.org/abs/2407.11335v2 | AP novel-LVIS base training | 43.4 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | DITO | https://arxiv.org/abs/2310.00161v2 | AP novel-LVIS base training | 40.4 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | DITO | https://arxiv.org/abs/2310.00161v2 | AP novel-Unrestricted open-vocabulary training | 45.8 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | OV-DQUO(ViT-L/14) | https://arxiv.org/abs/2405.17913v2 | AP novel-LVIS base training | 39.3 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | CoDet (EVA02-L) | https://arxiv.org/abs/2310.16667v1 | AP novel-LVIS base training | 37.0 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | CLIPSelf | https://arxiv.org/abs/2310.01403v2 | AP novel-LVIS base training | 34.9 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | OVMR | https://arxiv.org/abs/2406.04675v1 | AP novel-LVIS base training | 34.4 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | DE-ViT | https://arxiv.org/abs/2309.12969v4 | AP novel-LVIS base training | 34.3 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | CFM-ViT | https://arxiv.org/abs/2309.00775v1 | AP novel-LVIS base training | 33.9 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | CLIM (RN50x64) | https://arxiv.org/abs/2312.11376v2 | AP novel-LVIS base training | 32.3 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | RO-ViT | https://arxiv.org/abs/2305.07011v4 | AP novel-LVIS base training | 32.1 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | Prova (Swin-Base) | https://arxiv.org/abs/2412.17800v1 | AP novel-LVIS base training | 31.5 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | RTGen | https://arxiv.org/abs/2405.19854v1 | AP novel-LVIS base training | 30.2 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | OV-DQUO(ViT-B/16) | https://arxiv.org/abs/2405.17913v2 | AP novel-LVIS base training | 29.7 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | ViLD-ensemble w/ ALIGN (Eb7-FPN) | https://arxiv.org/abs/2104.13921v3 | AP novel-LVIS base training | 26.3 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | ViLD-ensemble w/ ALIGN (Eb7-FPN) | https://arxiv.org/abs/2104.13921v3 | AP novel-Unrestricted open-vocabulary training | 27.0 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | OWL-ViT (CLIP-L/14) | https://arxiv.org/abs/2205.06230v2 | AP novel-LVIS base training | 25.6 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | OWL-ViT (CLIP-L/14) | https://arxiv.org/abs/2205.06230v2 | AP novel-Unrestricted open-vocabulary training | 31.2 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | POMP | https://arxiv.org/abs/2304.04704v2 | AP novel-LVIS base training | 25.2 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | BARON | https://arxiv.org/abs/2302.13996v1 | AP novel-LVIS base training | 22.6 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | MEDet | https://arxiv.org/abs/2206.11134v4 | AP novel-LVIS base training | 22.4 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | Region-CLIP (RN50x4-C4) | https://arxiv.org/abs/2112.09106v1 | AP novel-LVIS base training | 22.0 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | RALF | https://arxiv.org/abs/2404.05687v1 | AP novel-LVIS base training | 21.9 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | OADP | https://arxiv.org/abs/2303.05892v1 | AP novel-LVIS base training | 21.7 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | X-Paste | https://arxiv.org/abs/2212.03863v2 | AP novel-LVIS base training | 21.4 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | X-Paste | https://arxiv.org/abs/2212.03863v2 | AP novel-Unrestricted open-vocabulary training | 22.8 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | Object-Centric-OVD | https://arxiv.org/abs/2207.03482v3 | AP novel-LVIS base training | 21.1 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | ViLD-ensemble (R152-FPN) | https://arxiv.org/abs/2104.13921v3 | AP novel-LVIS base training | 18.7 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | ViLD-ensemble (R152-FPN) | https://arxiv.org/abs/2104.13921v3 | AP novel-Unrestricted open-vocabulary training | 19.8 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | Detic | https://arxiv.org/abs/2201.02605v3 | AP novel-LVIS base training | 17.8 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | Region-CLIP (RN50-C4) | https://arxiv.org/abs/2112.09106v1 | AP novel-LVIS base training | 17.1 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | ViLD-ensemble (R50-FPN) | https://arxiv.org/abs/2104.13921v3 | AP novel-LVIS base training | 16.6 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | ViLD-ensemble (R50-FPN) | https://arxiv.org/abs/2104.13921v3 | AP novel-Unrestricted open-vocabulary training | 16.7 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | ViLD (R50-FPN) | https://arxiv.org/abs/2104.13921v3 | AP novel-LVIS base training | 16.1 |
16k > Object Detection > Open Vocabulary Object Detection | LVIS v1.0 | ViLD (R50-FPN) | https://arxiv.org/abs/2104.13921v3 | AP novel-Unrestricted open-vocabulary training | 16.3 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | Cooperative Foundational Models | https://arxiv.org/abs/2311.12068v4 | AP 0.5 | 50.3 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | DE-ViT | https://arxiv.org/abs/2309.12969v4 | AP 0.5 | 50 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | Yolov8-nano | https://arxiv.org/abs/2311.00073v1 | AP 0.5 | 47.2 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | DITO | https://arxiv.org/abs/2310.00161v2 | AP 0.5 | 46.1 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | OV-DQUO(RN50x4) | https://arxiv.org/abs/2405.17913v2 | AP 0.5 | 45.6 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | LP-OVOD (OWL-ViT Proposals) | https://arxiv.org/abs/2310.17109v2 | AP 0.5 | 44.9 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | CLIPSelf | https://arxiv.org/abs/2310.01403v2 | AP 0.5 | 44.3 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | CORA+ | https://arxiv.org/abs/2303.13076v1 | AP 0.5 | 43.1 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | BARON | https://arxiv.org/abs/2302.13996v1 | AP 0.5 | 42.7 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | SIA-OVD (RN50x4) | https://arxiv.org/abs/2410.05650v1 | AP 0.5 | 41.9 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | CORA | https://arxiv.org/abs/2303.13076v1 | AP 0.5 | 41.7 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | RALF | https://arxiv.org/abs/2404.05687v1 | AP 0.5 | 41.3 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | LP-OVOD | https://arxiv.org/abs/2310.17109v2 | AP 0.5 | 40.5 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | Region-CLIP (RN50x4-C4) | https://arxiv.org/abs/2112.09106v1 | AP 0.5 | 39.3 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | OV-DQUO(R50) | https://arxiv.org/abs/2405.17913v2 | AP 0.5 | 39.2 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | Object-Centric-OVD | https://arxiv.org/abs/2207.03482v3 | AP 0.5 | 36.9 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | CLIM (RN50) | https://arxiv.org/abs/2312.11376v2 | AP 0.5 | 36.9 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | OADP (G-OVD) | https://arxiv.org/abs/2303.05892v1 | AP 0.5 | 35.6 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | SIA-OVD (RN50) | https://arxiv.org/abs/2410.05650v1 | AP 0.5 | 35.5 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | VL-PLM (RN50) | https://arxiv.org/abs/2207.08954v1 | AP 0.5 | 34.4 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | CFM-ViT | https://arxiv.org/abs/2309.00775v1 | AP 0.5 | 34.1 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | MEDet (RN50) | https://arxiv.org/abs/2206.11134v4 | AP 0.5 | 32.6 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | Region-CLIP (RN50-C4) | https://arxiv.org/abs/2112.09106v1 | AP 0.5 | 31.4 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | OVAD-Baseline | https://arxiv.org/abs/2211.12914v2 | AP 0.5 | 30.0 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | OADP | https://arxiv.org/abs/2303.05892v1 | AP 0.5 | 30.0 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | OV-DERT | https://arxiv.org/abs/2203.11876v2 | AP 0.5 | 29.4 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | LocOv (RN50-C4) | https://arxiv.org/abs/2205.06160v2 | AP 0.5 | 28.6 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | Detic | https://arxiv.org/abs/2201.02605v3 | AP 0.5 | 27.8 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | ViLD | https://arxiv.org/abs/2104.13921v3 | AP 0.5 | 27.6 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | OVR-CNN | https://arxiv.org/abs/2011.10678v2 | AP 0.5 | 22.8 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | HierKD | https://arxiv.org/abs/2203.10593v1 | AP 0.5 | 20.3 |
16k > Object Detection > Open Vocabulary Object Detection | MSCOCO | Yolov8 | https://arxiv.org/abs/2402.09329v5 | AP 0.5 | 0.5 |
16k > Object Detection > Open Vocabulary Object Detection | OpenImages-v4 | Object-Centric-OVD | https://arxiv.org/abs/2207.03482v3 | mask AP50 | 42.9 |
16k > Object Detection > Open Vocabulary Object Detection | OpenImages-v4 | Detic | https://arxiv.org/abs/2201.02605v3 | AP 0.5 | 42.2 |
16k > Object Detection > Open Vocabulary Object Detection | OpenImages-v4 | Detic | https://arxiv.org/abs/2201.02605v3 | mask AP50 | 42.2 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD-Box benchmark | X-VLM | https://arxiv.org/abs/2111.08276v3 | mean average precision | 28.0 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD-Box benchmark | BLIP 2 (pretrained) | https://arxiv.org/abs/2301.12597v3 | mean average precision | 25.5 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD-Box benchmark | BLIP | https://arxiv.org/abs/2201.12086v2 | mean average precision | 24.3 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD-Box benchmark | OVAD-Baseline-Box | https://arxiv.org/abs/2211.12914v2 | mean average precision | 21.4 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD-Box benchmark | ALBEF | https://arxiv.org/abs/2107.07651v2 | mean average precision | 21.0 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD-Box benchmark | Open CLIP ViT-B32 | https://arxiv.org/abs/2212.07143v2 | mean average precision | 17.0 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD-Box benchmark | CLIP VIT-B16 | https://arxiv.org/abs/2103.00020v1 | mean average precision | 16.6 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD benchmark | OvarNet (ViT-B16) | https://arxiv.org/abs/2301.09506v1 | mean average precision | 27.2 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD benchmark | OVAD-Baseline (ResNet50) | https://arxiv.org/abs/2211.12914v2 | mean average precision | 18.8 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD benchmark | OVR (ResNet50) | https://arxiv.org/abs/2011.10678v2 | mean average precision | 15.1 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD benchmark | LocOv (ResNet50) | https://arxiv.org/abs/2205.06160v2 | mean average precision | 14.9 |
16k > Object Detection > Open Vocabulary Object Detection > Open Vocabulary Attribute Detection | OVAD benchmark | Object-Centric-OVD (ResNet50) | https://arxiv.org/abs/2207.03482v3 | mean average precision | 14.6 |
16k > Object Detection > Object Detection In Aerial Images | DOTA | Strip R-CNN* | https://arxiv.org/abs/2501.03775v3 | mAP | 82.75% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | MoCaE | https://arxiv.org/abs/2309.14976v4 | mAP | 82.62% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | Strip R-CNN | https://arxiv.org/abs/2501.03775v3 | mAP | 82.28% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | Oriented-DETR | https://arxiv.org/abs/2407.08489v1 | mAP | 82.26% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | STD+HiViT-B | https://arxiv.org/abs/2308.10561v2 | mAP | 82.24% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | CDLA-HOP | https://arxiv.org/abs/2407.03205v1 | mAP | 82.02% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | LSKNet-S* | https://arxiv.org/abs/2403.11735v5 | mAP | 81.85% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | ARC | https://arxiv.org/abs/2303.07820v2 | mAP | 81.77% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | MAE+MTP(ViT-L+RVSA) | https://arxiv.org/abs/2403.13430v2 | mAP | 81.66% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | LSKNet-S | https://arxiv.org/abs/2403.11735v5 | mAP | 81.64% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | LSKNet-T | https://arxiv.org/abs/2403.11735v5 | mAP | 81.37% |
16k > Object Detection > Object Detection In Aerial Images | DOTA | ViTAE-B + RVSA-ORCN | https://arxiv.org/abs/2208.03987v4 | mAP | 81.24% |
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