kirill-vish / Beyond-INet

Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"

Date Created 2023-11-15 (11 months ago)

Commits 26 (last one about a month ago)

Stargazers 95 (0 this week)

Watchers 5 (0 this week)

Forks 5

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RepositoryStats indexes 579,555 repositories, of these kirill-vish/Beyond-INet is ranked #298,566 (48th percentile) for total stargazers, and #331,043 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #55,175/115,123.

kirill-vish/Beyond-INet is also tagged with popular topics, for these it's ranked: deep-learning (#5,114/8344), pytorch (#3,615/5914), computer-vision (#1,805/3057), transformer (#583/994), transfer-learning (#169/307)

Other Information

Homepage URL: https://arxiv.org/abs/2311.09215

All Topics

clip convnet pytorch imagenet evaluation robustness supervised calibration transformer deep-learning model-mistake synthetic-data computer-vision transfer-learning invariant-features

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26 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-10-22 @ 07:49am, id: 719307505 / R_kgDOKt_C8Q