4 papers
Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition
Huqin Weng, Jiayang Huang, Yimin Wen +3
Self-supervised learning (SSL) shows strong potential for cross-dataset transfer by improving feature representation and generalization. However, its application to EEG-based emoti…
MobileGeo: Exploring Hierarchical Knowledge Distillation for Resource-Efficient Cross-view Drone Geo-Localization
Jian Sun, Kangdao Liu, Chi Zhang +4
Cross-view geo-localization (CVGL) plays a vital role in drone-based multimedia applications, enabling precise localization by matching drone-captured aerial images against geo-tag…
MNeRV: A Multilayer Neural Representation for Videos
Qingling Chang, Haohui Yu, Shuxuan Fu +2
As a novel video representation method, Neural Representations for Videos (NeRV) has shown great potential in the fields of video compression, video restoration, and video interpol…
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information
Qi Lai, Chi-Man Vong
Weakly supervised semantic segmentation (WSSS) aims at learning a semantic segmentation model with only image-level tags. Despite intensive research on deep learning approaches ove…