IEEE

Unsupervised Adaptation Learning for Real Multiplatform Hyperspectral Image Denoising

Abstract: Real hyperspectral images (HSIs) are ineluctably contaminated by diverse types of noise, which severely limits the image usability. Recently, transfer learning has been introduced in ...
GitHub

SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing

Prediction results of our proposed method. Network Architectural and Cross-domain Image Different. torch=1.10.2,torchvision=0.11.3 and mmcv-full=1.5.0. Recommended use of conda virtual environments ...
IEEE

Unsupervised Continual Learning Using Cross-Level Discrimination and Evidential Pseudo Out-of-Distribution Detection Along With Gradient Projected Hard Attention

Abstract: Catastrophic forgetting is a prominent challenge in machine learning, where models forget previously learned knowledge when exposed to new information. Supervised Continual Learning (SCL) ...