abhineet123/Deep-Learning-for-Tracking-and-Detection

Comprehensive curated resource linking foundational papers across detection architectures (RCNN, YOLO, SSD, RetinaNet), video-based methods (tubelet, FGFA, RNN), and multi/single-object tracking approaches including graph optimization and reinforcement learning. Provides structured access to 50+ domain-specific datasets spanning UAV footage, microscopy, and synthetic data, plus implementation repositories organized by framework and technique. Includes research notes, tutorials, and a tagged literature database exportable to Journal 8 for hierarchical knowledge management.

2,501 stars. Actively maintained with 3 commits in the last 30 days.