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Vision

Computer vision methods that are useful background for modern multimodal systems.
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Research category

Computer vision methods that are useful background for modern multimodal systems.

2Papers
6Resource links
2026.05Latest month
Object Detection Semantic Correspondence

1 paper

Object Detection

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.

Paper Code

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.

Paper Project Code Hugging Face
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