522 Open source projects that are alternatives of or similar to Context-Aware-Consistency

Deep Learning sample programs using PyTorch in C++

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

CRF-RNN PyTorch version http://crfasrnn.torr.vision

Semantic Segmentation using Fully Convolutional Neural Network.

Tensorflow implementation : U-net and FCN with global convolution

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

A customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Deep learning applied to georeferenced datasets

Active learning for deep object detection using YOLO

Official Implementation of CVPR2021 paper: Continual Learning via Bit-Level Information Preserving

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

[CVPR2021] Look before you leap: learning landmark features for one-stage visual grounding.

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

FrostNet: Towards Quantization-Aware Network Architecture Search

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Tensorflow implementation of Adversarial Autoencoders

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

PSPNet in Chainer

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Tools to Design or Visualize Architecture of Neural Network

Keras BiseNet architecture implementation

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

VOSK Speech Recognition Toolkit

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

Semantic segmentation on iPhone using ESPNetv2

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

A curated list of awesome data labeling tools

Semi-Supervised Learning and Collective Classification

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

The ROS Package of Mask R-CNN for Object Detection and Segmentation

Cell Detection with PyTorch.

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

🤘 awesome-semantic-segmentation

U-NET Semantic Segmentation model for Mobile

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Summary of RGBT SOD and SS.

Machine Learning Project to identify an ID Card on an image

CVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"

Google DeepLab V3 for Image Semantic Segmentation

Multi-Label Learning from Single Positive Labels - CVPR 2021

Deep Metric Transfer for Label Propagation with Limited Annotated Data