CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image - Forks · openai/CLIP
ECLIPSE posits that text-to-image mapping can be optimized through contrastive pre-training. It inputs text embeddings and estimates corresponding image embeddings, ensuring strong alignment with textual features. Building on these insights, to enhance this framework and deepen the comprehension of novel...
Pixel-level semantic parsing in complex industrial scenarios using large vision-language models The emergence of vision-language models, particularly Contrastive Language-Image Pre-Training (CLIP), has significantly improved the performance of numerou... Xiaofeng Ji,Faming Gong,Nuanlai Wang,... - Infor...
This integration of the ViT and Bert, based on the principles of Contrastive Language–Image Pretraining (CLIP), enhances the model’s ability to align and retrieve cross-modal information effectively. The overall framework is shown in Figure 1. Figure 1. Image–Text Matching Architecture. This...