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

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

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

Fully Convolutional HarDNet for Segmentation in Pytorch

《迁移学习简明手册》LaTex源码

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

This repository contains the source code of our work on designing efficient CNNs for computer vision

Code for https://arxiv.org/abs/1611.10080

Be Driven 🚘

Deep Transfer Learning Papers

PSPNet in Chainer

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

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

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

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

Awesome Domain Adaptation Python Toolbox

Pytorch code for semantic segmentation using ERFNet

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

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

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Easily train or fine-tune SOTA computer vision models with one open source training library

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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'

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

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

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

PyTorch implementation of "Pyramid Scene Parsing Network".

Awesome Multitask Learning Resources

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)

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

AttaNet for real-time semantic segmentation.

Transfer-Learning-Library

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

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

Library of transfer learners and domain-adaptive classifiers.

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Cut and paste augmentation for object detection and instance segmentation

Implementation of the paper "End to End Learning for Self-Driving Cars"

Understanding Convolution for Semantic Segmentation

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance