67 Open source projects that are alternatives of or similar to cycle-confusion

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

NIPS Adversarial Vision Challenge

Parametric Contrastive Learning (ICCV2021)

A curated (most recent) list of resources for Learning with Noisy Labels

Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)

Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]

Recentrifuge: robust comparative analysis and contamination removal for metagenomics

Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

Official implementation of deep matching prior

MVP Benchmark for Multi-View Partial Point Cloud Completion and Registration

Reachability analysis for closed-loop control systems

[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)

Code for NeurIPS 2019 Paper

(TPAMI 2022) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

[ICCV 2021] InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

[ICCV2021] Learning to Track Objects from Unlabeled Videos

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

Code used during my Chaos Engineering and Resiliency Patterns talk.

Official implementation of MSR-GCN (ICCV2021 paper)

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

Spatial-Temporal Transformer for Dynamic Scene Graph Generation, ICCV2021

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

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.

This paper is accepted by ICCV 2021.

Generative Forests in Python

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

Adversarial Distributional Training (NeurIPS 2020)

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

Robust error-handling for Kotlin and Android

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)

Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

阿里云MNS

[ICCV'21] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

[ICCV21] Code for "RetrievalFuse: Neural 3D Scene Reconstruction with a Database"

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Vision-Language Transformer and Query Generation for Referring Segmentation (ICCV 2021)

A Closer Look at Accuracy vs. Robustness

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"