amusi/awesome-object-detection

Curated repository organizing seminal object detection papers and implementations across multiple architectures—including two-stage detectors (R-CNN family, Faster R-CNN), single-stage detectors (YOLO, SSD), and specialized variants (Mask R-CNN for instance segmentation, RetinaNet for focal loss)—with links to arXiv papers, official and community implementations across Caffe, TensorFlow, PyTorch, and MXNet frameworks. Covers foundational concepts like region proposals, spatial pyramid pooling, and feature pyramids alongside survey papers addressing class imbalance and recent advances from 2013-2019.

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