Pinned Repositories
dst-det
state-of-the-art open vocabulary detector on COCO/LVIS/V3Det
FashionFormer
Code for our ECCV-2022 work: Fashionformer A simple, effective and unified baseline for human fashion segmentation and recognition
fc-clip
This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
groundingLMM
Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.
kmax-deeplab
a PyTorch re-implementation of ECCV 2022 paper based on Detectron2: k-means mask Transformer.
LLaVA-Grounding
openai-translator
基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.
RAP-SAM
remax_deeplab
Semantic-SAM
Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
xushilin1's Repositories
xushilin1/RAP-SAM
xushilin1/FashionFormer
Code for our ECCV-2022 work: Fashionformer A simple, effective and unified baseline for human fashion segmentation and recognition
xushilin1/dst-det
state-of-the-art open vocabulary detector on COCO/LVIS/V3Det
xushilin1/remax_deeplab
xushilin1/fc-clip
This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
xushilin1/groundingLMM
Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.
xushilin1/kmax-deeplab
a PyTorch re-implementation of ECCV 2022 paper based on Detectron2: k-means mask Transformer.
xushilin1/LLaVA-Grounding
xushilin1/openai-translator
基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.
xushilin1/Semantic-SAM
Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"