ACT

The official PyTorch code for BMVC'20 Paper "Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks" (by NeurAI-Lab)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better ACT alternative or higher similarity.

ACT reviews and mentions

Posts with mentions or reviews of ACT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-13.
  • [D] Yet another case of plagiarism in ICCV. The ICCV 2021 paper "Learnable Boundary Guided Adversarial Training"(arxiv 2011.11164) with the BMVC 2020 paper "Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks" (arxiv 2008.07015)
    4 projects | /r/MachineLearning | 13 Jun 2022
    Hi everyone, I am the first author of ICCV 2021 paper A (Learnable Boundary Guided Adversarial Training), Jiequan Cui. I give the following facts to prove that our paper A completely stems from our own ideas without referring to BMVC 2020 paper B (Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks). 1. Our paper was first submitted to CVPR 2020 and got rejected. The submission date was Nov. 15, 2019 (screenshot: https://github.com/dvlab-research/LBGAT/blob/main/assets/record_of_our_submittion_to_cvpr2020.png). Our CVPR 2020 overleaf project screenshot is in https://github.com/dvlab-research/LBGAT/blob/main/assets/overleaf_history.png. Our idea and framework were already there (full pdf submission: https://github.com/dvlab-research/LBGAT/blob/main/assets/manuscripts_submitted_to_cvpr2020.pdf). Since it was rejected, we resubmitted it to CVPR 2021 (rejected), and ICCV 2021 with more results. In comparison, paper B is accepted in BMVC 2020 with submission deadline April 30, 2020, later than our first submission date Nov. 15, 2019. Authors of B submitted the paper to arXiv on August 16, 2020. 2. our paper is with released code 11 months ago while paper B released code 10 months ago. Our code: https://github.com/dvlab-research/LBGAT Paper B code: https://github.com/NeurAI-Lab/ACT

Stats

Basic ACT repo stats
2
1
0.0
over 2 years ago

NeurAI-Lab/ACT is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of ACT is Python.


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