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Search results for pytorch robustness
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robustness
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30 search results found
Advertorch
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1,271
A Toolbox for Adversarial Robustness Research
Robustness
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728
Corruption and Perturbation Robustness (ICLR 2019)
Model Vs Human
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301
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
Modelnet40 C
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184
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
Robustness Vit
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97
Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).
Rpcmvos
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76
[AAAI22 Oral] Reliable Propagation-Correction Modulation for Video Object Segmentation
Augmix_tf2
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67
TF2.0 port for Augmix paper
Beyond Inet
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62
Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
Dun
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52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Spatial Smoothing
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51
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
Onlinelabelsmoothing
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45
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
Robust Video Object Segmentation
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41
[ACM MM22] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACM Multimedia 2022
Perceptual Advex
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39
Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
Oodeel
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38
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
Adversarial Distributional Training
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31
Adversarial Distributional Training (NeurIPS 2020)
Gce
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31
[ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy
Romtrack
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28
[ICCV 2023] Robust Object Modeling for Visual Tracking, Official Implementation
Raw2logit
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27
In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code repository contains the materials for the second ingredient, the image processing models, as well as scripts to load data and run experiments. https://arxiv.org/abs/2211.02578
Gps Augment
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27
Simple but high-performing method for learning a policy of test-time augmentation
Neural Ode Metasolver
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24
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
Fourierheatmap
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24
Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, NeurIPS2019]
Comprehensive Tacotron2
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23
PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.
Adaptor
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22
Adaptor will help you to adapt a language model to your own data domain, task, or custom research objective(s).
Splitmix
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20
[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
Deel Torchlip
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20
Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers
Bert Probe
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16
BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipes of implicit and explicit defenses against character-level attacks.
Low Shot Robustness
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11
Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
Stereoscopic Universal Perturbations
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9
PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)
Hybrid_augment
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7
[ICCV 2023] HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
Composite Adv
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5
[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.
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