foolwood/benchmark_results
A categorized paper list tracking deep learning research progress in visual object tracking from CVPR 2020 and recent works.
Not currently ranked — collecting fresh signals.
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This repository aggregates academic papers on visual tracking, a computer vision task involving object detection and re-identification across video frames. It includes recommended papers and entries organized by conference (CVPR 2020), covering methods like Siam R-CNN, D3S, and PrDiMP. Each entry links to the original paper and available code implementations. The list serves as a reference for researchers following developments in deep learning-based visual tracking.
Frequently asked
- What is foolwood/benchmark_results?
- A categorized paper list tracking deep learning research progress in visual object tracking from CVPR 2020 and recent works.
- Is benchmark_results open source?
- Yes — foolwood/benchmark_results is an open-source project tracked on heatdrop.
- How popular is benchmark_results?
- foolwood/benchmark_results has 3.9k stars on GitHub.
- Where can I find benchmark_results?
- foolwood/benchmark_results is on GitHub at https://github.com/foolwood/benchmark_results.