Visual Object Tracking

LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark (ACM MM2020)

A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.

Implementation of ECCV 2020 paper "Geometric Estimation via Robust Subspace Recovery" and IEEE TPAMI 2021 paper "Efficient Deterministic Search with Robust Loss Functions for Geometric Model Fitting"

基于MATLAB实现传统图像去噪算法（均值滤波、中值滤波、非局部均值滤波NLM、三维块匹配滤波BM3D）和基于深度卷积神经网络的DnCNN图像去噪算法。

Code for paper Fully Hyperbolic Neural Networks

Official PyTorch implementation of "A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning"

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation

Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm

ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation

A collection of loss functions for medical image segmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

[TGRS 2021] FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery

The tensorflow and pytorch implementations of the MDvsFA_cGAN model which is proposed in ICCV2019 paper "Huan Wang, Luping Zhou and Lei Wang. Miss Detection vs. False Alarm: Adversarial Learing for…

LibAUC: A Deep Learning Library for X-Risk Optimization

Official implementation of the paper "Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification, ICCV2021"

codes and trained models for the ALCNet

Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection

Pytorch code for CVPR 2021 paper: Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction

A dataset constructed for single-frame infrared small target detection

CVPR2022 ''ISNet: Shape Matters for Infrared Small Target Detection''

Techniques for deep learning with satellite & aerial imagery

OpenMMLab Rotated Object Detection Toolbox and Benchmark

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

Pytorch code for the research topic: Deep Unrolling for Computational Spectral Imaging