This repository aggregates academic resources for computer vision tasks involving deep learning. It organizes papers covering static and video object detection methods (RCNN, YOLO, SSD, RetinaNet), multi-object and single-object tracking approaches (Siamese networks, correlation filters, reinforcement learning-based trackers), and related datasets. The collection includes both foundational architectures and advanced techniques like unsupervised learning, network flow optimization, and graph-based methods for tracking-by-detection pipelines.