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20242026
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cs.CV2026

WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering

Yingjian Zhu, Xinming Wang, Kun Ding +3

Multi-modal Retrieval-Augmented Generation (RAG) has emerged as a highly effective paradigm for Knowledge-Based Visual Question Answering (KB-VQA). Despite recent advancements, pre…

cs.CV2026

SeaVIS: Sound-Enhanced Association for Online Audio-Visual Instance Segmentation

Yingjian Zhu, Ying Wang, Yuyang Hong +5

Recently, an audio-visual instance segmentation (AVIS) task has been introduced, aiming to identify, segment and track individual sounding instances in videos. However, prevailing…

cs.CV2026

CC-VQA: Conflict- and Correlation-Aware Method for Mitigating Knowledge Conflict in Knowledge-Based Visual Question Answering

Yuyang Hong, Jiaqi Gu, Yujin Lou +7

Knowledge-based visual question answering (KB-VQA) demonstrates significant potential for handling knowledge-intensive tasks. However, conflicts arise between static parametric kno…

cs.CV2026

Beyond Next-Token Alignment: Distilling Multimodal Large Language Models via Token Interactions

Lin Chen, Xiaoke Zhao, Kun Ding +9

Multimodal Large Language Models (MLLMs) demonstrate impressive cross-modal capabilities, yet their substantial size poses significant deployment challenges. Knowledge distillation…

cs.CV2026

DSFC-Net: A Dual-Encoder Spatial and Frequency Co-Awareness Network for Rural Road Extraction

Zhengbo Zhang, Yihe Tian, Wanke Xia +6

Accurate extraction of rural roads from high-resolution remote sensing imagery is essential for infrastructure planning and sustainable development. However, this task presents uni…

cs.CV2025

IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual Prompting

Tao Zhang, Yuyang Hong, Yang Xia +5

Recent advances in multimodal large language models (MLLMs) have led to impressive progress across various benchmarks. However, their capability in understanding infrared images re…