5 papers
A Unified Perspective for Loss-Oriented Imbalanced Learning via Localization
Zitai Wang, Qianqian Xu, Zhiyong Yang +4
Due to the inherent imbalance in real-world datasets, naïve Empirical Risk Minimization (ERM) tends to bias the learning process towards the majority classes, hindering generaliza…
Stereo Image Coding for Machines with Joint Visual Feature Compression
Dengchao Jin, Jianjun Lei, Bo Peng +3
2D image coding for machines (ICM) has achieved great success in coding efficiency, while less effort has been devoted to stereo image fields. To promote the efficiency of stereo i…
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang +2
The existence of noisy labels in real-world data negatively impacts the performance of deep learning models. Although much research effort has been devoted to improving the robustn…
Query-guided Prototype Evolution Network for Few-Shot Segmentation
Runmin Cong, Hang Xiong, Jinpeng Chen +3
Previous Few-Shot Segmentation (FSS) approaches exclusively utilize support features for prototype generation, neglecting the specific requirements of the query. To address this, w…
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
Ting Yu, Kunhao Fu, Shuhui Wang +2
Video Question Answering (VideoQA) represents a crucial intersection between video understanding and language processing, requiring both discriminative unimodal comprehension and s…