Announcement_2

Two full papers accepted at CVPR 2025. The first paper called TIDE, improves model generalization by localizing class-specific concepts and supports test-time correction. The second paper called VELOCITI, benchmarks video-language models on compositional understanding via a strict video-language entailment task tailored to modern VLMs. Try it on HuggingFace.