abhineet123/Deep-Learning-for-Tracking-and-Detection
A categorized repository of research papers, datasets, and code implementations for deep learning-based object detection and tracking.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is abhineet123/Deep-Learning-for-Tracking-and-Detection?
- A categorized repository of research papers, datasets, and code implementations for deep learning-based object detection and tracking.
- Is Deep-Learning-for-Tracking-and-Detection open source?
- Yes — abhineet123/Deep-Learning-for-Tracking-and-Detection is an open-source project tracked on heatdrop.
- What language is Deep-Learning-for-Tracking-and-Detection written in?
- abhineet123/Deep-Learning-for-Tracking-and-Detection is primarily written in HTML.
- How popular is Deep-Learning-for-Tracking-and-Detection?
- abhineet123/Deep-Learning-for-Tracking-and-Detection has 2.5k stars on GitHub.
- Where can I find Deep-Learning-for-Tracking-and-Detection?
- abhineet123/Deep-Learning-for-Tracking-and-Detection is on GitHub at https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection.