yizt/cv-papers
A categorized repository of computer vision research papers with notes on object detection, face recognition, visual tracking, and OCR.

This repository catalogs and organizes computer vision research papers in Chinese, covering major deep learning architectures and tasks. It includes foundational networks like ResNeXt and DenseNet, object detection methods such as R-CNN series, YOLO, SSD, and RetinaNet, as well as semantic segmentation, face recognition, visual tracking, and OCR-related papers. The repository serves as a study guide and reference collection for CV practitioners and researchers.