amusi/awesome-object-detection
A curated list of papers, code implementations, and surveys on deep learning-based object detection including R-CNN, YOLO, SSD, and related architectures.
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This repository aggregates academic resources for object detection, a fundamental computer vision task in deep learning. It catalogs landmark papers (R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN), single-shot detectors (YOLO, SSD variants), and recent advances like CornerNet and Cascade R-CNN. The list also includes links to surveys, implementation code, and related resources, organized by detection approach and publication year.