2022.03
Object Detection
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
DINO improves DETR-like object detectors by introducing contrastive denoising training, mixed query selection for anchor initialization, and a look-forward-twice box prediction scheme, achieving state-of-the-art results on COCO with significantly reduced model and data requirements.
1 paper
Semantic Correspondence
2026.05
Semantic Correspondence
SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
SOCO introduces a taxonomy-driven benchmark with consistent, functionally meaningful keypoint annotations across 100 categories and more than one million correspondence pairs. Its evaluation reveals gaps in cross-category transfer and object-part geometry understanding while showing that correspondence performance strongly predicts dense downstream task performance.