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 # CV(Computer Vision)
 
-- CS231n: Stanford 的 CV 入门课程 \[[Main Page](http://cs231n.stanford.edu/)\] \[[bilibili](https://www.bilibili.com/video/BV1nJ411z7fe)\] \[[Assignments](http://cs231n.stanford.edu/schedule.html)\]
+- CS231n: Stanford 的 CV 入门课程 \[[Main Page](http://cs231n.stanford.edu/)\] \[[bilibili](https://www.bilibili.com/video/BV1nJ411z7fe)\] \[[Assignments](http://cs231n.stanford.edu/schedule.html)\]
+- [Awesome-Vision-Attentions](https://github.com/MenghaoGuo/Awesome-Vision-Attentions): Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
+- [Transformer-in-Computer-Vision](https://github.com/Yangzhangcst/Transformer-in-Computer-Vision): A paper list of some recent Transformer-based CV works.
+- [rese1f/Awesome-VQVAE](https://github.com/rese1f/Awesome-VQVAE): A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
+
+
+## object detection
+- [open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection): OpenMMLab Detection Toolbox and Benchmark
+- [facebookresearch/detectron2](https://github.com/facebookresearch/detectron2): Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
+- [facebookresearch/detr]: End-to-End Object Detection with Transformers
+
+## segmentation
+- [facebookresearch/segment-anything](https://github.com/facebookresearch/segment-anything)
+
+## Vision-Language Model
+- [VLM_survey](https://github.com/jingyi0000/VLM_survey): Vision-Language Models for Vision Tasks: A Survey
+- [LLM-in-Vision](https://github.com/DirtyHarryLYL/LLM-in-Vision): Recent LLM-based CV and related works. Welcome to comment/contribute!