:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Mo, Wentao, Liu, Yang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning
Accesso online:	https://arxiv.org/abs/2402.15933
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Find The Gap: Knowledge Base Reasoning For Visual Question Answering
di: Barezi, Elham J., et al.
Pubblicazione: (2024)

FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
di: Huang, Chengyue, et al.
Pubblicazione: (2025)

Exploring Diverse Methods in Visual Question Answering
di: Li, Panfeng, et al.
Pubblicazione: (2024)

Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering
di: Jiang, Bowen, et al.
Pubblicazione: (2024)

Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs
di: Mo, Wentao, et al.
Pubblicazione: (2026)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
di: Romero, David, et al.
Pubblicazione: (2024)

Federated Document Visual Question Answering: A Pilot Study
di: Nguyen, Khanh, et al.
Pubblicazione: (2024)

ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering
di: Diao, Xingjian, et al.
Pubblicazione: (2025)

Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
di: Gupta, Akash, et al.
Pubblicazione: (2025)

Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners
di: Feng, Chun, et al.
Pubblicazione: (2024)

Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering
di: Lagos, Maximiliano Hormazábal, et al.
Pubblicazione: (2025)

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
di: Man, Yunze, et al.
Pubblicazione: (2024)

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation
di: Ghosh, Shiv, et al.
Pubblicazione: (2026)

VQA-Levels: A Hierarchical Approach for Classifying Questions in VQA
di: Madaka, Madhuri Latha, et al.
Pubblicazione: (2025)

Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering
di: Guo, Danfeng, et al.
Pubblicazione: (2024)

MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors
di: Tang, Yuan, et al.
Pubblicazione: (2024)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
di: Rashid, Hasib-Al, et al.
Pubblicazione: (2024)

Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations
di: Yeh, Yahsin, et al.
Pubblicazione: (2025)

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
di: Sinha, Neelabh, et al.
Pubblicazione: (2024)

PlantVillageVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science
di: Sakib, Syed Nazmus, et al.
Pubblicazione: (2025)

MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal Learning
di: Saeed, Nadia
Pubblicazione: (2024)

MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
di: Min, Juhong, et al.
Pubblicazione: (2024)

Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis
di: Fan, Lin, et al.
Pubblicazione: (2024)

MMToM-QA: Multimodal Theory of Mind Question Answering
di: Jin, Chuanyang, et al.
Pubblicazione: (2024)

BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence
di: Lin, Xuewu, et al.
Pubblicazione: (2024)

CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
di: Parmar, Paritosh, et al.
Pubblicazione: (2024)

3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
di: Yang, Jianing, et al.
Pubblicazione: (2024)

An Embodied Generalist Agent in 3D World
di: Huang, Jiangyong, et al.
Pubblicazione: (2023)

Language-Image Models with 3D Understanding
di: Cho, Jang Hyun, et al.
Pubblicazione: (2024)

FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts
di: Singh, Shubhankar, et al.
Pubblicazione: (2024)

MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering
di: Srivastava, Varun, et al.
Pubblicazione: (2025)

Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
di: Dong, Junnan, et al.
Pubblicazione: (2024)

RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering
di: Butsanets, Léo, et al.
Pubblicazione: (2025)

Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation
di: Li, Kailing, et al.
Pubblicazione: (2026)

BERT-VQA: Visual Question Answering on Plots
di: Vu, Tai, et al.
Pubblicazione: (2025)

TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
di: Shang, Chuyi, et al.
Pubblicazione: (2024)

Situational Awareness Matters in 3D Vision Language Reasoning
di: Man, Yunze, et al.
Pubblicazione: (2024)

Bridging the Gap Between Multimodal Foundation Models and World Models
di: He, Xuehai
Pubblicazione: (2025)

Visual Question Decomposition on Multimodal Large Language Models
di: Zhang, Haowei, et al.
Pubblicazione: (2024)

Improving Automatic VQA Evaluation Using Large Language Models
di: Mañas, Oscar, et al.
Pubblicazione: (2023)