TLDR AI · ENGINEERING & RESOURCES
CLIP FOR SEMANTIC SEGMENTATION
Summary from the TLDR AI newsletter
Despite CLIP's success in open-vocabulary tasks, it struggles with semantic segmentation due to noisy features and limited resolution. Trident addresses the resolution issue with a training-free framework that combines CLIP and DINO features from sub-images and uses SAM's encoder for global feature aggregation.