"visual question answering" Papers

Acknowledging Focus Ambiguity in Visual Questions

Chongyan Chen, Yu-Yun Tseng, Zhuoheng Li et al.

Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering

Imad Eddine MAROUF, Enzo Tartaglione, Stéphane Lathuilière et al.

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering

Tianyu Huai, Jie Zhou, Xingjiao Wu et al.

CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology

Yuxuan Sun, Yixuan Si, Chenglu Zhu et al.

EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis

Shengyuan Liu, Boyun Zheng, Wenting Chen et al.

End-to-End Multi-Modal Diffusion Mamba

Chunhao Lu, Qiang Lu, Meichen Dong et al.

INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling

Xin Dong, Shichao Dong, Jin Wang et al.

LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content

Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh et al.

Scaling Language-Free Visual Representation Learning

David Fan, Shengbang Tong, Jiachen Zhu et al.

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding

feilong tang, Chengzhi Liu, Zhongxing Xu et al.

TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models

Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.

TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Jeremy Irvin, Emily Liu, Joyce Chen et al.

WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-world scenarios

Eun Chang, Zhuangqun Huang, Yiwei Liao et al.

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions

Wenbo Hu, Yifan Xu, Yi Li et al.

BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining

Minjun Kim, SeungWoo Song, Youhan Lee et al.

CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers

Dachuan Shi, Chaofan Tao, Anyi Rao et al.

Detecting and Preventing Hallucinations in Large Vision Language Models

Anisha Gunjal, Jihan Yin, Erhan Bas

Detection-Based Intermediate Supervision for Visual Question Answering

Yuhang Liu, Daowan Peng, Wei Wei et al.

Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following

Qiaomu Miao, Alexandros Graikos, Jingwei Zhang et al.

EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE

Junyi Chen, Longteng Guo, Jia Sun et al.

Extracting Training Data From Document-Based VQA Models

Francesco Pinto, Nathalie Rauschmayr, Florian Tramer et al.

Image Content Generation with Causal Reasoning

Xiaochuan Li, Baoyu Fan, Run Zhang et al.

Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning

Wei Li, Hehe Fan, Yongkang Wong et al.

Interactive Visual Task Learning for Robots

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI

Kaining Ying, Fanqing Meng, Jin Wang et al.

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Didi Zhu, Zhongyi Sun, Zexi Li et al.

NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving

Tianwen Qian, Jingjing Chen, Linhai Zhuo et al.

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Soroush Nasiriany, Fei Xia, Wenhao Yu et al.

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna et al.

SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment

Ziping Ma, Furong Xu, Jian liu et al.

Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA

Chengen Lai, Shengli Song, Shiqi Meng et al.