Hyper-spectral Anomaly Detection With Attribute and Edge-Preserving Filters

deep learning for image processing including classification and object-detection etc.

This is a code set for hyperpsectral anomaly detection including the RX, PTA, CRD, iForest, SSIIFD, MFIFD etc.

A pytorch implementation of paper "Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery"

PyTorch code for the IJCNN'21 paper: "Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer"

Naive codebase for self-supervised learning

A Self-Supervised Contrastive Learning Framework for Aspect Detection

The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirica…

The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers"

Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"

The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

The official repo for [NeurIPS'21] "ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias" and [IJCV'22] "ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Ima…

A comprehensive list [AIM@IJCAI'21, P3M@MM'21, GFM@IJCV'22, RIM@CVPR'23, P3MNet@IJCV'23] of our research works related to image matting, including papers, codes, datasets, demos, and citations. Not…

[CVPR 2023] Referring Image Matting

[ACM MM 2021] Privacy-Preserving Portrait Matting

[IJCAI'21] Deep Automatic Natural Image Matting

[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting

This is the implementation of article: "Hyperspectral Anomaly Detection With Robust Graph Autoencoders".

Paper and Code about my research on hyperpsectral anomaly detection

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Code on http://zhuanlan.zhihu.com/TsingJyuData

This is the implementation of article: "Hyperspectral anomaly detection via integration of feature extraction and background purification".