819 Open source projects that are alternatives of or similar to Seg Uncertainty

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Awesome Multitask Learning Resources

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

A collection of AWESOME things about domian adaptation

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

Official PyTorch implementation of SegFormer

The 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

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Awesome Domain Adaptation Python Toolbox

Understanding Convolution for Semantic Segmentation

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

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

This 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)

PSPNet in Chainer

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

python 3 pytorch implementation of DANN

Code for Learning to select data for transfer learning with Bayesian Optimization

Complete-Life-Cycle-of-a-Data-Science-Project

Fully convolutional networks for semantic segmentation

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

CNN image classifier implemented in Keras Notebook 🖼️.

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

Building an image classifier using keras

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

The 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/>.

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

Implement 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

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

C++ based toolbox for the SUNCG dataset

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

Domain Adaptive Faster R-CNN in PyTorch

Classify whether an image is of a Spiral or an Elliptical Galaxy using Transfer Learning (Tensorflow)

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Code for Sluice networks: Learning what to share between loosely related tasks

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

PyTorch-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.

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Play MK.js with TensorFlow.js

Collection of computer vision models, ready to be included in a JVM project

Transfer Learning library for Deep Neural Networks.

An awesome semantic segmentation model that runs in real time

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

Transfer Learning for Anime Characters Recognition

SegSort: Segmentation by Discriminative Sorting of Segments