#Cross-modal-retrieval
Showing 6 of 6 repositories tagged #cross-modal-retrieval, ranked by stars
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
The Paper List of Large Multi-Modality Model (Perception, Generation, Unification), Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.
An AI-powered interactive video retrieval system
Code, dataset and models for our CVPR 2022 publication "Text2Pos"