CVPR (the IEEE/CVF Conference on Computer Vision and Pattern Recognition) is an annual computer vision conference. Recent discussion on r/MachineLearning touched on it repeatedly: one user asked why the CVPR 2027 author kit is not yet posted, another sought advice on answering reviewer novelty concerns, a third weighed rerunning experiments with multiple seeds against writing up single-seed results, and a researcher with low NeurIPS scores compared journals such as Pattern Recognition and Neurocomputing with CVPR and other conferences.
Researchers Turn 109k ML Papers Into Topic PagesA team grouped roughly 109k papers accepted at ICML, NeurIPS, ICLR, CVPR and AAAI since 2016 into about 1,260 topics and extracted results tables from the full text of 79k of them. Topic pages show best benchmark numbers with the source paper, recent ablations and common baselines. It is free to use; the authors warn extracted numbers may not be fully comparable.
CVPR 2027 author kit not yet posted onlineA Reddit user asked whether anyone has the CVPR 2027 author kit, noting the official site doesn't appear to have posted it yet, unlike in previous years.
Researcher Asks How to Address Novelty Concerns at Top AI ConferencesA computer vision researcher asks how to address reviewer novelty concerns given the huge volume of papers published at top conferences each year. They seek advice on framing contributions clearly, distinguishing meaningful incremental progress from insufficiently novel work, and understanding what reviewers look for when judging novelty.
Limited compute for CVPR: rerun experiments or focus on writing?A researcher with limited compute asks whether to rerun experiments with different seeds to report mean ± std and statistical significance before a CVPR submission, or skip reruns and focus on writing up existing single-seed results, which they plan to release with code.
Forum: how journals compare to top AI conferencesA researcher whose NeurIPS scores were low (2/3/3) is considering journals like Pattern Recognition and Neurocomputing instead, asking how these journals' review standards and acceptance difficulty compare to NeurIPS, CVPR and ICLR.
The A.I. Daily