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LightnetplusplusLightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
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FreezedFreeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
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Dta.pytorchOfficial implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.
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DecouplesegnetsImplementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
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Squeezesegv2Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
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Fastseg📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
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Lapa DatasetA large-scale dataset for face parsing (AAAI2020)
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Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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SegmentationTensorFlow implementation of ENet, trained on the Cityscapes dataset.
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PixelnetThe repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
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Cdcl Human Part SegmentationRepository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)
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Yolo segmentationimage (semantic segmentation) instance segmentation by darknet or yolo
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Ta3n[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)
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SarosperceptionkittiROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
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Fcn PytorchAnother pytorch implementation of FCN (Fully Convolutional Networks)
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Bnmcode of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)
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Learn To Select DataCode for Learning to select data for transfer learning with Bayesian Optimization
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AsisAssociatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019
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CgnetCGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
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Unsupervised detectionAn Unsupervised Learning Framework for Moving Object Detection From Videos
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Eye In The Sky Satellite Image Classification using semantic segmentation methods in deep learning
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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Bert Sklearna sklearn wrapper for Google's BERT model
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Pytorch Fcn Easiest DemoPyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
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Multi Task RefinenetMulti-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
Stars: ✭ 139 (-43.95%)
Pytorch semantic segmentationImplement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN
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Suncgtoolbox C++ based toolbox for the SUNCG dataset
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DeeppicarDeep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
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Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
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Kiu Net PytorchOfficial Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)
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ContrastivesegExploring Cross-Image Pixel Contrast for Semantic Segmentation
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Sluice NetworksCode for Sluice networks: Learning what to share between loosely related tasks
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TorchdistillPyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
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Dilation TensorflowA native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.
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ImagenetPytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
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XferTransfer Learning library for Deep Neural Networks.
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FcnChainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
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CrstCode for <Confidence Regularized Self-Training> in ICCV19 (Oral)
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Mk TfjsPlay MK.js with TensorFlow.js
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Vision4j CollectionCollection of computer vision models, ready to be included in a JVM project
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