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평가 지표
Mean AP
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Mean AP | Paper Title | Repository |
|---|---|---|---|
| HIPIE | 41.6 | Hierarchical Open-vocabulary Universal Image Segmentation | - |
| Grounded-SAM | 46.0 | Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection | - |
| SGinW_Team (X-Decoder-L) | 32.2 | Generalized Decoding for Pixel, Image, and Language | - |
| Grounded HQ-SAM | 49.6 | Segment Anything in High Quality | - |
| SAN | 41.4 | Side Adapter Network for Open-Vocabulary Semantic Segmentation | - |
| OpenSD | 35.8 | OpenSD: Unified Open-Vocabulary Segmentation and Detection | - |
| OpenSEED | 36.1 | A Simple Framework for Open-Vocabulary Segmentation and Detection | - |
| UNINEXT | 42.1 | Universal Instance Perception as Object Discovery and Retrieval | - |
| SGinW_Team (X-Decoder-T) | 22.6 | Generalized Decoding for Pixel, Image, and Language | - |
| SGinW_Team (X-Decoder-B) | 27.7 | Generalized Decoding for Pixel, Image, and Language | - |
| odise | 38.7 | Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models | - |
| SGinW_Team (X-Decoder-L-IN21K) | 26.6 | Generalized Decoding for Pixel, Image, and Language | - |
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