Xfeedhd Free

| Resource | Link | |----------|------| | | https://arxiv.org/pdf/2304.06789.pdf | | Project page & leaderboard | https://xfeedhd.org | | Dataset download (AWS) | s3://xfeedhd-public/ (requires free AWS CLI registration) | | GitHub repository | https://github.com/xfeedhd/benchmark | | Docker image (ready‑to‑run) | docker pull xfeedhd/benchmark:latest | | Citation (BibTeX) | @inproceedingslee2023xfeedhd, title=XFeedHD: A High-Definition Streaming Dataset for Real-World Vision-Based AI, author=Lee, Joon and Patel, Anisha and Rossi, Marco and Wang, Li and Gomez, Sofia and others, booktitle=Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages=1024--1035, year=2023, doi=10.1109/CVPR.2023.01032 |

"XFeed" is sometimes used as shorthand for or X-Ray Feed systems.

xfeedhd is a cutting-edge technology designed to supercharge your feed, providing unparalleled performance, speed, and reliability. With xfeedhd, you can expect:

Lightning-fast updates Enhanced content delivery Increased engagement

Stay ahead of the curve, and let's unleash the power of xfeedhd together!

Authors: J. Lee, A. Patel, M. Rossi, L. Wang, S. Gomez, et al. Conference: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 Pages: 1024‑1035 DOI: 10.1109/CVPR.2023.01032 ArXiv pre‑print: arXiv:2304.06789

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