5 papers
Memory-Augmented Query Intent Understanding for Efficient Chat-based Image Retrieval
Xianke Chen, Daizong Liu, Yushuo Lou +5
Different from traditional text-to-image retrieval tasks, chat-based image retrieval allows the human-interactive system to iteratively clarify and refine user intent through multi…
Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
Yicheng Bao, Xuhong Wang, Qiaosheng Zhang +3
Despite their impressive capabilities, Multimodal Large Language Models (MLLMs) exhibit perceptual fragility when confronted with visually complex scenes. This weakness stems from…
TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios
Qiucheng Yu, Ruijie Xu, Mingang Chen +2
Recent advances in vision-language models (VLMs) have accelerated their application to indoor safety hazards assessment. However, existing benchmarks suffer from three fundamental…
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Yuhao Chen, Xin Tan, Borui Zhao +4
Semi-supervised learning (SSL) has attracted enormous attention due to its vast potential of mitigating the dependence on large labeled datasets. The latest methods (e.g., FixMatch…
Deep Spatial Autoencoders for Visuomotor Learning
Chelsea Finn, Xin Yu Tan, Yan Duan +3
Reinforcement learning provides a powerful and flexible framework for automated acquisition of robotic motion skills. However, applying reinforcement learning requires a sufficient…