989 Open source projects that are alternatives of or similar to Usss_iccv19

🤘 awesome-semantic-segmentation

Develop production ready deep learning code, deploy it and scale it

Semantic Entity Retrieval Toolkit

This repository contains the reference implementation for our proposed Convolutional CRFs.

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Tools to Design or Visualize Architecture of Neural Network

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Helper 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

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

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

The implementation of DeBERTa

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

DeeplabV2 segmentation in Keras.

keras를 이용한 딥러닝 기초 학습

GPU Javascript Library for Machine Learning

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

Implementation of Ladder Network in PyTorch.

The implementation of Relativistic average GAN with Keras

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

Algorithms Tutorial

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

TensorFlow TransFormer🍔

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

unet for rgb images semantic segmentation

parsing scene images with understanding geometric perspective in the loop

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Multi-class confusion matrix library in Python

Python tutorials as Jupyter Notebooks for NLP, ML, AI

A 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.

TFslim based semantic segmentation models, modular&extensible boutique design

Gradients as Features for Deep Representation Learning

Model for document segmentation trained on the midv-500-models dataset.

Compressing Representations for Self-Supervised Learning

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

tensorflow version of unet

Deep Label Distribution Learning with Label Ambiguity

SegNet implementation & experiments in Chainer

Semantic Scene Completion