19940312

19940312's Stars

• YZCU/SSTtrack-results

  [IF 2024] SSTtrack: A Unified Hyperspectral Video Tracking Framework via Modeling Spectral-Spatial-Temporal Conditions

  7

• YZCU/Visual-Hyperspectral-Tracking-Development

  Visual-Hyperspectral-Tracking-Development

  26

• huyanning/Hyperspectral-Anomaly-Detection

  Paper and Code about my research on hyperpsectral anomaly detection

  Language:Python679

• YZCU/DF

  [IEEE JSTARS 2022] Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker

  14

• YZCU/SENSE

  [INF FUS 2024] SENSE: Hyperspectral Video Object Tracker via Fusing Material and Motion Cues

  Language:Python24

• YZCU/REPS

  [JAG 2024] REPS: Rotation Equivariant Siamese Network Enhanced by Probability Segmentation for Satellite Video Tracking

  Language:MATLAB191

• YZCU/OOTB

  [ISPRS 2024] Satellite Video Single Object Tracking: A Systematic Review and An Oriented Object Tracking Benchmark

  Language:C29

• YZCU/YZCU.github.io

  Language:HTML9

• DegangWang97/IEEE_TGRS_PDBSNet

  [TGRS 2023] PDBSNet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network for Hyperspectral Anomaly Detection

  Language:Python141

• Algolzw/SPAC-Deformable-Registration

  Reinforcement learning for deformable image registration, AAAI 2022

  Language:Python534

• Pranshu258/Deep_Image_Captioning

  Deep Reinforcement Learning based Image Captioning with Embedding Reward

  Language:Jupyter Notebook268

• dsshim0125/gaussian-ram

  "Gaussian RAM: Lightweight Image Classification via Stochastic Retina Inspired Glimpse and Reinforcement Learning" (ICCAS 2020)

  Language:Python154

• andrewssobral/godec

  Python implementation of the GoDec algorithm from Zhou and Tao (ICML 2011) for low-rank and sparse representation

  Language:Python325

• ZhaoxuLi123/AETNet

  Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection

  Language:Python271

• lijin118/LLAE

  Low-Rank Linear Autoencoder, LLAE, AAAI 2019, From Zero-Shot Learning to Cold-Start Recommendation

  Language:MATLAB396

• huyanning/AUD-Net

  The implementation for "AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning"

  Language:Python131

• zhaoxile/Tensor-completion-using-total-variation-and-low-rank-matrix-factorization

  code of Tensor completion using total variation and low-rank matrix factorization

  Language:MATLAB44

• YuBangZheng/code_TGRS_low-fibered-rank

  Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization

  113

• meiqihu/ACDA

  Pytorch code of "Hyperspectral Anomaly Change Detection Based on Auto-encoder"

  Language:Python453

• YuBangZheng/code_LRTFDFR

  Double Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image

  83

• Xinyu-Wang/SAED_TGRS

  X. Wang, Y. Zhong, C. Cui, L. Zhang and Y. Xu, "Autonomous Endmember Detection via an Abundance Anomaly Guided Saliency Prior for Hyperspectral Imagery," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 3, pp. 2336-2351, March 2021, doi: 10.1109/TGRS.2020.3001353.

  Language:MATLAB127

• fverdoja/LAD-Laplacian-Anomaly-Detector

  Graph-based image anomaly detection algorithm leveraging on the Graph Fourier Transform

  Language:MATLAB125

• l7170/PTA-HAD

  a prior-based tensor approximation (PTA) is proposed for hyperspectral anomaly detection, in which HSI is decomposed into a background tensor and an anomaly tensor. In the background tensor, a low-rank prior is incorporated into spectral dimension by truncated nuclear norm regularization, and a piecewise- smooth prior on spatial dimension can be embedded by a linear total variation-norm regularization. For anomaly tensor, it is unfolded along spectral dimension coupled with spatial group sparse prior that can be represented by l 2,1 -norm regularization.

  Language:MATLAB233

• 19940312/Hyperspectral-Anomaly-Detection-by-Fractional-Fourier-Entropy

  This demo implements FRFE-RX destriping for HSI

  1

• lan2720/GAN-AEL

  the PyTorch implementation of paper: [Neural Response Generation via GAN with an Approximate Embedding Layer](http://www.aclweb.org/anthology/D/D17/D17-1065.pdf) Please refer to ###dev### branch to run the code.

  Language:Python114

• zhangxin-xd/BLTSC

  This project provides an implementation for "Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection"

  Language:Python217

• GatorSense/MUUFLGulfport

  MUUFL Gulfport Hyperspectral and LIDAR Data: This data set includes HSI and LIDAR data, Scoring Code, Photographs of Scene, Description of Data

  Language:Matlab7930

• zephyrhours/Hyperspectral-Anomaly-Detection-2S-GLRT

  This is the code of paper named "Multipixel Anomaly Detection With Unknown Patterns for Imagery"

  Language:MATLAB163

• cassie1728/rolabelimg-xml-change

  将rolabelimg标注的带旋转角的标注框转换为四个顶点的标注框坐标

  Language:Python5

• ChenCongGit/RoLabelImg_Transform

  针对不同旋转矩形框标签格式的转换(txt和xml)

  Language:Python739