The CLIPSeg model was proposed in Image Segmentation Using Text and Image Prompts by Timo Lüddecke and Alexander Ecker. This model can be used to segment things in an image based on text. CLIPSeg adds a minimal decoder on top of a frozen CLIP model for zero- and one-shot image segmentation.

Source: https://huggingface.co/docs/transformers/model_doc/clipseg