| DETRs with Collaborative Hybrid Assignments Training | ✓ Link | 60.7 | | Co-DETR (single-scale) | 2022-11-22 |
| EVA: Exploring the Limits of Masked Visual Representation Learning at Scale | ✓ Link | 55.0 | | EVA | 2022-11-14 |
| LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation | | 50.4 | | HTC-ealrystop-ema | 2021-11-04 |
| General Object Foundation Model for Images and Videos at Scale | ✓ Link | 49.9 | | GLEE-Pro | 2023-12-14 |
| Exploring Plain Vision Transformer Backbones for Object Detection | ✓ Link | 48.1 | 36.9 | ViTDet-H | 2022-03-30 |
| Exploring Plain Vision Transformer Backbones for Object Detection | ✓ Link | 46.0 | 34.3 | ViTDet-L | 2022-03-30 |
| DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data | ✓ Link | 45.5 | 45.8 | DiverGen (Swin-L) | 2024-05-16 |
| X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion | ✓ Link | 45.4 | 43.8 | CenterNet2 (Swin-L w/ X-Paste + Copy-Paste) | 2022-12-07 |
| DiffusionInst: Diffusion Model for Instance Segmentation | ✓ Link | 38.6 | | DiffusionInst-SwinL | 2022-12-06 |
| Fractal Calibration for long-tailed object detection | ✓ Link | 38.5 | 35.5 | FRACAL-Swin-B | 2024-10-15 |
| Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation | ✓ Link | 38.1 | | Eff-B7 NAS-FPN (1280, Copy-Paste pre-training)) | 2020-12-13 |
| DiffusionInst: Diffusion Model for Instance Segmentation | ✓ Link | 36 | | DiffusionInst-SwinB | 2022-12-06 |
| Fractal Calibration for long-tailed object detection | ✓ Link | 33.6 | 27.8 | FRACAL-SwinS | 2024-10-15 |
| Fractal Calibration for long-tailed object detection | ✓ Link | 30.7 | 25.7 | FRACAL-SwinT | 2024-10-15 |
| Adaptive Parametric Activation | ✓ Link | 30.7 | 23.6 | SE-R101-FPN-MaskRCNN-APA | 2024-07-11 |
| Adaptive Parametric Activation | ✓ Link | 29.1 | 21.6 | SE-R50-FPN-MaskRCNN-APA | 2024-07-11 |
| Long-tailed Instance Segmentation using Gumbel Optimized Loss | ✓ Link | 29.0 | | R101-FPN-MaskRCNN-GOL | 2022-07-22 |
| Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection | ✓ Link | 28.8 | | Cascade-R101-EQLv2 | 2020-12-15 |
| Exploring Classification Equilibrium in Long-Tailed Object Detection | ✓ Link | 28 | | R101-MaskRCNN-LOCE | 2021-08-17 |
| Long-tailed Instance Segmentation using Gumbel Optimized Loss | ✓ Link | 27.7 | | R50-FPN-MaskRCNN-GOL | 2022-07-22 |
| Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection | ✓ Link | 27.5 | | R101-FPN-MaskRCNN-EQLv2 | 2020-12-15 |
| DiffusionInst: Diffusion Model for Instance Segmentation | ✓ Link | 27 | | DiffusionInst-ResNet101 | 2022-12-06 |
| Exploring Classification Equilibrium in Long-Tailed Object Detection | ✓ Link | 26.6 | | R50-MaskRCNN-LOCE | 2021-08-17 |
| Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection | ✓ Link | 23.7 | | R50-FPN-MaskRCNN-EQLv2 | 2020-12-15 |
| DiffusionInst: Diffusion Model for Instance Segmentation | ✓ Link | 22.3 | | DiffusionInst-ResNet50 | 2022-12-06 |