daily-paper-computer-vision

Why we included this project

Keeping up with computer vision and deep learning papers usually means refreshing a handful of conference sites on your own. This repo does that legwork for you: it tracks notable papers on a near-daily basis, files them by year, and maintains running lists of accepted work from CVPR, ECCV, ICLR, NeurIPS, and AAAI. Coverage ranges across object detection, segmentation, tracking, transformers, diffusion models, NeRF, and face recognition, so it works as a broad survey starting point. The links point back to official proceedings and, where available, to code, which makes it easier to move from reading a title to actually running the implementation. If your team keeps its own literature tracker, the way this repo is structured is also a decent template to borrow.