leesb7426 / CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification

Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)

Date Created 2022-05-17 (2 years ago)

Commits 60 (last one about a year ago)

Stargazers 40 (0 this week)

Watchers 3 (0 this week)

Forks 7

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RepositoryStats indexes 636,050 repositories, of these leesb7426/CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification is ranked #548,700 (14th percentile) for total stargazers, and #419,402 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #109,195/130,195.

leesb7426/CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification is also tagged with popular topics, for these it's ranked: deep-learning (#8,022/8833), image-classification (#373/421), few-shot-learning (#168/189)

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leesb7426/CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification has Github issues enabled, there is 1 open issue and 6 closed issues.

All Topics

tdm oral cvpr2022 deep-learning few-shot-learning image-classification fine-grained-classification

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updated: 2025-02-23 @ 11:04pm, id: 493173509 / R_kgDOHWU7BQ