DST-CBCImplementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
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Context-Aware-ConsistencySemi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)
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Semantic-Mono-DepthGeometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018
Stars: ✭ 98 (-48.15%)
HoHoNet"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.
Stars: ✭ 65 (-65.61%)
sc depth plPytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.
Stars: ✭ 86 (-54.5%)
SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
Stars: ✭ 46 (-75.66%)
learning-topology-synthetic-dataTensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Stars: ✭ 22 (-88.36%)
AdvsemisegAdversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Stars: ✭ 382 (+102.12%)
Cct[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.
Stars: ✭ 171 (-9.52%)
SemiSeg-AELSemi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
Stars: ✭ 79 (-58.2%)
SSL CR HistoOfficial code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
Stars: ✭ 32 (-83.07%)
Usss iccv19Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
Stars: ✭ 57 (-69.84%)
PiCIEPiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)
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sesemisupervised and semi-supervised image classification with self-supervision (Keras)
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MiniVoxCode for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".
Stars: ✭ 15 (-92.06%)
AdversarialAudioSeparationCode accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
Stars: ✭ 70 (-62.96%)
TF SemanticSegmentationSemantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.
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StereoNetA customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"
Stars: ✭ 107 (-43.39%)
LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
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semi-supervised-NFsCode for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
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ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
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spearSPEAR: Programmatically label and build training data quickly.
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atomaiDeep and Machine Learning for Microscopy
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BYOLBootstrap Your Own Latent: A New Approach to Self-Supervised Learning
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Dilation-Pytorch-Semantic-SegmentationA PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.
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G-SimCLRThis is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.
Stars: ✭ 69 (-63.49%)
deviation-networkSource code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
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plussegShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark
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panoptic-forecasting[CVPR 2021] Forecasting the panoptic segmentation of future video frames
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recurrent-decoding-cell[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)
Stars: ✭ 14 (-92.59%)
BMW-Anonymization-APIThis repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.
Stars: ✭ 121 (-35.98%)
FCNN-exampleThis is a fully convolutional neural net exercise to detect houses from aerial images.
Stars: ✭ 28 (-85.19%)
EntityEntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Stars: ✭ 313 (+65.61%)
PixiePixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling
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DSGNDSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
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squeeze-unetSqueeze-unet Semantic Segmentation for embedded devices
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semantic-parsing-dualSource code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".
Stars: ✭ 17 (-91.01%)
FKDA Fast Knowledge Distillation Framework for Visual Recognition
Stars: ✭ 49 (-74.07%)
adversarial-attacksCode for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Stars: ✭ 90 (-52.38%)
label-studio-frontendData labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
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SPMLUniversal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive 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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InstantDLInstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
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JCLALJCLAL is a general purpose framework developed in Java for Active Learning.
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DeepAtlasJoint Semi-supervised Learning of Image Registration and Segmentation
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kitti deeplabInference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.
Stars: ✭ 26 (-86.24%)