hhuang-code / VisCNN_ICLR_2014_Saliency
A PyTorch implementation of the paper "Deep inside convolutional networks: Visualising image classification models and saliency maps"
☆23Updated 6 years ago
Alternatives and similar repositories for VisCNN_ICLR_2014_Saliency:
Users that are interested in VisCNN_ICLR_2014_Saliency are comparing it to the libraries listed below
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆65Updated 5 years ago
- Official PyTorch implementation for ECCV'20 paper: Deep Image Clustering with Category-Style Representation☆17Updated 4 years ago
- ☆37Updated 2 years ago
- Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code☆32Updated 4 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- [CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction☆54Updated 5 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Updated 3 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆43Updated 2 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"☆27Updated last year
- ☆20Updated 6 years ago
- ☆39Updated 6 years ago
- Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018☆32Updated 6 years ago
- [ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study☆38Updated 2 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 5 years ago
- The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".☆102Updated last year
- ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise☆14Updated 3 years ago
- The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation☆22Updated 6 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 5 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 3 years ago
- A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…☆59Updated 6 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 2 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆80Updated 5 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 2 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated last year
- Orderless Recurrent Models for Multi-label Classification☆43Updated 4 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 3 years ago
- Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"☆63Updated 5 years ago