Data underlying the publication: What Affects Learned Equivariance in Deep Image Recognition Models?
收藏4TU.ResearchData2025-09-09 更新2026-04-23 收录
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https://data.4tu.nl/datasets/c60c22a8-15a8-40cc-b2f2-4bd4a936cb96/1
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资源简介:
LaTeX source files for the CVPR workshop article and thesis chapter "What Affects Learned Equivariance in Deep Image Recognition Models?". This article investigates how to measure learned equivariance in vision models, and which design choices affect learned equivariance.
本数据集包含发表于计算机视觉与模式识别会议(Conference on Computer Vision and Pattern Recognition, CVPR)工作坊的论文《深度图像识别模型中习得等变性(learned equivariance)的影响因素》(What Affects Learned Equivariance in Deep Image Recognition Models?)以及对应学位论文章节的LaTeX源文件。该研究旨在探究如何度量视觉模型中的习得等变性,以及哪些模型设计选择会对习得等变性造成影响。
提供机构:
Motyka, Tomasz
创建时间:
2025-09-09



