TorchdistillPyTorch-based modular, configuration-driven framework for knowledge distillation. π18 methods including SOTA are implemented so far. π Trained models, training logs and configurations are available for ensuring the reproducibiliy.
Stars: β 177 (+80.61%)
AdvsemisegAdversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Stars: β 382 (+289.8%)
Deeplab V2 Resnet 101 TensorflowAn (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
Stars: β 173 (+76.53%)
Pytorch UnetPyTorch implementation of the U-Net for image semantic segmentation with high quality images
Stars: β 4,770 (+4767.35%)
RoboVisionAttempting to create a program capable of combining stereo video input , with motors and other sensors on a PC running linux , the target is embedded linux for use in a robot!
Stars: β 21 (-78.57%)
VedasegA semantic segmentation toolbox based on PyTorch
Stars: β 367 (+274.49%)
Kili PlaygroundSimplest and fastest image and text annotation tool.
Stars: β 166 (+69.39%)
Panoptic DeeplabThis is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
Stars: β 355 (+262.24%)
Context-Aware-ConsistencySemi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)
Stars: β 121 (+23.47%)
PixellibVisit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Stars: β 327 (+233.67%)
Hrnet Semantic SegmentationThe OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Stars: β 2,369 (+2317.35%)
Involution[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
Stars: β 252 (+157.14%)
PywickHigh-level batteries-included neural network training library for Pytorch
Stars: β 320 (+226.53%)
Semantic slamReal time semantic slam in ROS with a hand held RGB-D camera
Stars: β 317 (+223.47%)
3D60Tools accompanying the 3D60 spherical panoramas dataset
Stars: β 83 (-15.31%)
Kaggle salt bes phalanxWinning solution for the Kaggle TGS Salt Identification Challenge.
Stars: β 317 (+223.47%)
Real Time Networkreal-time network architecture for mobile devices and semantic segmentation
Stars: β 308 (+214.29%)
Erfnet pytorchPytorch code for semantic segmentation using ERFNet
Stars: β 304 (+210.2%)
FchardnetFully Convolutional HarDNet for Segmentation in Pytorch
Stars: β 150 (+53.06%)
Cascaded FcnSource code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Stars: β 296 (+202.04%)
kitti deeplabInference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.
Stars: β 26 (-73.47%)
Human Segmentation PytorchHuman segmentation models, training/inference code, and trained weights, implemented in PyTorch
Stars: β 289 (+194.9%)
Pytorch SemsegSemantic Segmentation Architectures Implemented in PyTorch
Stars: β 3,180 (+3144.9%)
awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
Stars: β 419 (+327.55%)
Awesome Computer Vision ModelsA list of popular deep learning models related to classification, segmentation and detection problems
Stars: β 278 (+183.67%)
CbstCode for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18
Stars: β 146 (+48.98%)
Fcn Pytorchπ Easiest Fully Convolutional Networks
Stars: β 278 (+183.67%)
Yolo segmentationimage (semantic segmentation) instance segmentation by darknet or yolo
Stars: β 143 (+45.92%)
Semantic Kitti ApiSemanticKITTI API for visualizing dataset, processing data, and evaluating results.
Stars: β 272 (+177.55%)
Portrait mattingImplementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.
Stars: β 267 (+172.45%)
Fcn PytorchAnother pytorch implementation of FCN (Fully Convolutional Networks)
Stars: β 142 (+44.9%)
Torchsatπ₯TorchSat π is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Stars: β 261 (+166.33%)
PatchMatchCudaThe PatchMatch stereo match algorithm implemented by CUDA.
Stars: β 32 (-67.35%)
Face Makeup.pytorchLip and hair color editor using face parsing maps.
Stars: β 254 (+159.18%)
Bisenetv2 TensorflowUnofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
Stars: β 139 (+41.84%)
wsss-analysisA Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)
Stars: β 44 (-55.1%)
EPCEvery Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Stars: β 27 (-72.45%)
Multi Task RefinenetMulti-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
Stars: β 139 (+41.84%)
label-fusionVolumetric Fusion of Multiple Semantic Labels and Masks
Stars: β 18 (-81.63%)
pytorch-segmentationπ¨ Semantic segmentation models, datasets and losses implemented in PyTorch.
Stars: β 1,184 (+1108.16%)
DensetorchAn easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)
Stars: β 50 (-48.98%)
SegmentationTensorFlow implementation of ENet, trained on the Cityscapes dataset.
Stars: β 243 (+147.96%)
SegmentationcppA c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Stars: β 49 (-50%)
DldlDeep Label Distribution Learning with Label Ambiguity
Stars: β 49 (-50%)
Suncgtoolbox C++ based toolbox for the SUNCG dataset
Stars: β 136 (+38.78%)
project-defudeRefocus an image just by clicking on it with no additional data
Stars: β 69 (-29.59%)
pais-mvsMulti-view stereo image-based 3D reconstruction
Stars: β 55 (-43.88%)
squeeze-unetSqueeze-unet Semantic Segmentation for embedded devices
Stars: β 21 (-78.57%)