Class-Incremental Learning: A Survey (TPAMI 2024)

Dual Attention Network for Scene Segmentation (CVPR2019)

Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)

A list of papers and codes about Incremental/Continual Semantic Segmentation

[CVPR2023] Federated Incremental Semantic Segmentation

This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)

PyQt5 implementation of YOLOv5 GUI

使用opencv与pyqt5实现的图像处理程序，已实现转灰度图、图像平滑、形态学操作、梯度计算、阈值处理、边缘检测、轮廓检测

My own Implementation of the ERFNet Semantic Segmentation architecture in Tensorflow, trained on the CamvidDataset

Pytorch code for semantic segmentation using ERFNet

Official implementation of "Self-training Guided Adversarial Domain Adaptation For Thermal Imagery". CVPR 2021 PBVS.

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Dual Super-Resolution Learning for Semantic Segmentation

Channel-wise Distillation for Semantic Segmentation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

LaTeX thesis template for Nanjing University of Sci & Tech（南京理工大学学位论文LaTeX模版）

[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

ACFNet: Attentional Class Feature Network for Semantic Segmentation.(ICCV2019)

Memory Aware Synapses method implementation code

[ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

Pytorch implementation of convolutional neural network visualization techniques

The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference".

Adaptive Multi-domain Learning

Official PyTorch implementation of "Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation"