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AWPCodes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
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perceptual-advexCode and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
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hypersegHyperSeg - Official PyTorch Implementation
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TF SemanticSegmentationSemantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.
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Swin-Transformer-Semantic-SegmentationThis is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
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s-attack[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?".
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CAP augmentationCut and paste augmentation for object detection and instance segmentation
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StereoNetA customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"
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SegFormerOfficial PyTorch implementation of SegFormer
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satellite-Image-Semantic-Segmentation-Unet-Tensorflow-kerasCollection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock
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unet-pytorchThis is the example implementation of UNet model for semantic segmentations
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Adversarial-Patch-TrainingCode for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
Stars: ✭ 30 (+20%)
InstantDLInstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
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map-floodwater-satellite-imageryThis repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
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atomaiDeep and Machine Learning for Microscopy
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KitanaQAKitanaQA: Adversarial training and data augmentation for neural question-answering models
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safe-control-gymPyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
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MINetMulti-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)
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FaPN[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
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mix3dMix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)
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Swin-TransformerThis is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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AuxiLearnOfficial implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
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plussegShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark
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food-detection-yolov5🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕
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super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
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wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
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awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
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SUIMSemantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
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robust-gcnImplementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
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adversarial-robustness-publicCode for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
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AdMRLCode for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
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pytorch-UNet2D and 3D UNet implementation in PyTorch.
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PixiePixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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eleanorCode used during my Chaos Engineering and Resiliency Patterns talk.
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caffeCaffe: a fast open framework for deep learning.
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Lyft-Perception-ChallengeThe 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)
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deeplabv3plus-kerasdeeplabv3plus (Google's new algorithm for semantic segmentation) in keras:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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TIGERPython toolbox to evaluate graph vulnerability and robustness (CIKM 2021)
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unet pytorchPytorch implementation of UNet for converting aerial satellite images into google maps kinda images.
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RaySRayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)
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hsn v1HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)
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LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
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Semantic-Mono-DepthGeometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018
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