jiangyangzhou / Non-targeted-Attack-IJCAI2019-ColdRiverLinks
No.5 solution to non-targeted attack in IJCAI-2019 Alibaba Adversarial AI Challenge (AAAC 2019))
☆11Updated 4 years ago
Alternatives and similar repositories for Non-targeted-Attack-IJCAI2019-ColdRiver
Users that are interested in Non-targeted-Attack-IJCAI2019-ColdRiver are comparing it to the libraries listed below
Sorting:
- Code for ICCV2019 paper《Adversarial Learning with Margin-based Triplet Embedding Regularization》☆30Updated 5 years ago
- A simple baseline for Person ReID, it achieves 3rd place in VisDA2020 challenge.☆38Updated 5 years ago
- This is a pytorch implementation of the CVPR2020 paper: Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-id…☆96Updated 4 years ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆125Updated 7 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- ☆37Updated 5 years ago
- IJCV22 Attack your retrieval model via Query! They are not robust as you expected!☆47Updated 2 years ago
- My implementation of Spectral-Feature-Transformation-ReID, link to the paper: https://arxiv.org/abs/1811.11405☆21Updated 6 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 6 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 6 years ago
- Code for CVPR2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》☆69Updated 6 years ago
- ☆40Updated 6 years ago
- My implementation of RePr training scheme in PyTorch. https://arxiv.org/pdf/1811.07275.pdf☆71Updated 5 years ago
- Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.☆56Updated 3 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 3 years ago
- Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples☆11Updated 7 years ago
- Implementation for NAT.☆58Updated 5 years ago
- Semi-supervised Adaptive Distillation is a model compression method for object detection.☆59Updated 5 years ago
- [Preprint] "In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label …☆44Updated 3 years ago
- A simple and effective feature alignment method with proposed anchor loss for person re-identification☆15Updated 5 years ago
- Codes of Centripetal SGD☆63Updated 3 years ago
- Loss Function Search for Face Recognition☆42Updated 4 years ago
- Adversarial Attack Zoo and Victim Model Zoo for general Pixel-to-Pixel Tasks☆15Updated 5 years ago
- Code for "Adversarial Noise Layer: Regularize Neural Network By Adding Noise"☆16Updated last year