November 2026

Deep learning has contributed to advances in PET image reconstruction, with reported improvements in image quality through direct training on sinogram or image data. Traditional methods often utilize

Underwater observation systems typically integrate optical cameras and imaging sonar systems. When underwater visibility is insufficient, only sonar systems can provide stable data, which necessitates

Audio-visual segmentation (AVS) plays a critical role in multimodal machine learning by effectively integrating audio and visual cues to precisely segment objects or regions within visual scenes. Rece

The high cost of manually annotating ultrasound images has motivated semi-supervised learning approaches that leverage abundant unlabeled data. Mutual learning, which integrates consistency regulariza

The aim of Video Corpus Moment Retrieval (VCMR) is to locate temporal moments within a large video corpus on the basis of textual queries; however, it faces challenges in balancing retrieval efficienc

No-Reference Image Quality Assessment (NR-IQA) aims to estimate perceptual quality without access to a pristine reference. Learning an NR-IQA model faces a fundamental bottleneck because it requires m

Implicit Neural Representation (INR) has emerged as a powerful framework for representing continuous functions. However, it still suffers from two limitations: poor generalization to unobserved pixels