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Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
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CADAAttending to Discriminative Certainty for Domain Adaptation
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Deeplabv3plus PytorchDeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
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Robust Detection BenchmarkCode, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Stars: ✭ 128 (+312.9%)
EdgenetsThis repository contains the source code of our work on designing efficient CNNs for computer vision
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ACANCode for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
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Pytorch Auto DriveSegmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
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DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
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ganslateSimple and extensible GAN image-to-image translation framework. Supports natural and medical images.
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domain-adaptation-caplsUnsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
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GDR-NetGDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
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PyTorch-Spiking-YOLOv3A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
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rlss-2019Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
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FixBiFixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)
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day2nightImage2Image Translation Research
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BCNetDeep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
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EDANetImplementation details for EDANet
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Generative-ModelRepository for implementation of generative models with Tensorflow 1.x
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Pix2PixImage to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
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avatars4allLive real-time avatars from your webcam in the browser. No dedicated hardware or software installation needed. A pure Google Colab wrapper for live First-order-motion-model, aka Avatarify in the browser. And other Colabs providing an accessible interface for using FOMM, Wav2Lip and Liquid-warping-GAN with your own media and a rich GUI.
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pascal voc toolssome tools about pascal voc format dataset
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wsddn.pytorchImplementation of Weakly Supervised Deep Detection Networks using the latest version of PyTorch
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SFAOfficial Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"
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CrossNERCrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)
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digit recognizerCNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
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self-driving-carImplementation of the paper "End to End Learning for Self-Driving Cars"
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smdSimple mmdetection CPU inference
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CVCCVC: Contrastive Learning for Non-parallel Voice Conversion (INTERSPEECH 2021, in PyTorch)
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CAC-UNet-DigestPath20191st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
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gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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TF RLEagerly Experimentable!!!
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pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
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CycleGAN-gluon-mxnetthis repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation
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DetectionMetricsTool to evaluate deep-learning detection and segmentation models, and to create datasets
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Transferable-E2E-ABSATransferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)
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MCARLearning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
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DCAN[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717
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visda2019-multisourceSource code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019
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MineColabRun Minecraft Server on Google Colab.
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datumaroDataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
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SegFormerOfficial PyTorch implementation of SegFormer
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AdaptationSegCurriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
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Any-file-to-Google-DriveThis Google Colab notebook will help you download any file directly to Google Drive with the help of the JDownloader web interface
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