hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
Curated repository organizing landmark detection papers chronologically from 2014-2020 with annotated architecture diagrams and comparative performance benchmarks across VOC and COCO datasets. Includes links to both official and community implementations alongside dataset papers, enabling researchers to track algorithmic evolution from two-stage detectors (R-CNN family) through single-stage approaches (YOLO, SSD, RetinaNet) to recent anchor-free methods.
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