Image de couverture de livre

OmniGround: A Comprehensive Spatio-Temporal Grounding Benchmark for Real-World Complex Scenarios

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gao, Hong, Wu, Jingyu, Xu, Xiangkai, Xie, Kangni, Zhang, Yunchen, Zhong, Bin, Gao, Xurui, Zhang, Min-Ling
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding
par: Yao, Jiali, et autres
Publié: (2025)

RGBT-Ground Benchmark: Visual Grounding Beyond RGB in Complex Real-World Scenarios
par: Zhao, Tianyi, et autres
Publié: (2025)

Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding
par: Tu, Xuezhen, et autres
Publié: (2026)

DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios
par: Gao, Zeyu, et autres
Publié: (2025)

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
par: Huang, Shijue, et autres
Publié: (2024)

Context-Guided Spatio-Temporal Video Grounding
par: Gu, Xin, et autres
Publié: (2024)

MoChat: Joints-Grouped Spatio-Temporal Grounding LLM for Multi-Turn Motion Comprehension and Description
par: Mo, Jiawei, et autres
Publié: (2024)

Towards Long-Form Spatio-Temporal Video Grounding
par: Gu, Xin, et autres
Publié: (2026)

AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios
par: Hou, Yunhao, et autres
Publié: (2025)

ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
par: Huang, Shouzheng, et autres
Publié: (2026)

Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding
par: Gao, Shida, et autres
Publié: (2025)

Know-Show: Benchmarking Video-Language Models on Spatio-Temporal Grounded Reasoning
par: Sugandhika, Chinthani, et autres
Publié: (2025)

SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability
par: Wang, Jiankang, et autres
Publié: (2025)

Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding
par: Wasim, Syed Talal, et autres
Publié: (2023)

MolGround: A Benchmark for Molecular Grounding
par: Wu, Jiaxin, et autres
Publié: (2025)

RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation
par: Zhang, Ruoxuan, et autres
Publié: (2025)

DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
par: Meng, Jinxiang, et autres
Publié: (2026)

CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering
par: Zhang, Mingfang, et autres
Publié: (2026)

OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer
par: Peng, Haosong, et autres
Publié: (2025)

Agentic Spatio-Temporal Grounding via Collaborative Reasoning
par: Zhao, Heng, et autres
Publié: (2026)

VideoMolmo: Spatio-Temporal Grounding Meets Pointing
par: Ahmad, Ghazi Shazan, et autres
Publié: (2025)

OmniVTG: A Large-Scale Dataset and Training Paradigm for Open-World Video Temporal Grounding
par: Zheng, Minghang, et autres
Publié: (2026)

OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Models
par: Kim, Seunghee, et autres
Publié: (2026)

Beyond Referring Expressions: Scenario Comprehension Visual Grounding
par: He, Ruozhen, et autres
Publié: (2026)

Paladin-mini: A Compact and Efficient Grounding Model Excelling in Real-World Scenarios
par: Ivry, Dror, et autres
Publié: (2025)

OMHBench: Benchmarking Balanced and Grounded Omni-Modal Multi-Hop Reasoning
par: Kim, Seunghee, et autres
Publié: (2025)

Interacted Object Grounding in Spatio-Temporal Human-Object Interactions
par: Liu, Xiaoyang, et autres
Publié: (2024)

ToG-Bench: Task-Oriented Spatio-Temporal Grounding in Egocentric Videos
par: Xu, Qi'ao, et autres
Publié: (2025)

ReasonTabQA: A Comprehensive Benchmark for Table Question Answering from Real World Industrial Scenarios
par: Pan, Changzai, et autres
Publié: (2026)

WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis
par: Lu, Shuo, et autres
Publié: (2026)

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection
par: Zhuang, Weijun, et autres
Publié: (2025)

STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding
par: Garg, Aaryan, et autres
Publié: (2025)

Thinking With Bounding Boxes: Enhancing Spatio-Temporal Video Grounding via Reinforcement Fine-Tuning
par: Gu, Xin, et autres
Publié: (2025)

OmniCompliance-100K: A Multi-Domain, Rule-Grounded, Real-World Safety Compliance Dataset
par: Hu, Wenbin, et autres
Publié: (2026)

Towards Robust Sensor-Fusion Ground SLAM: A Comprehensive Benchmark and A Resilient Framework
par: Zhang, Deteng, et autres
Publié: (2025)

Grounding World Simulation Models in a Real-World Metropolis
par: Seo, Junyoung, et autres
Publié: (2026)

A Cross Spatio-Temporal Pathology-based Lung Nodule Dataset
par: Jian, Muwei, et autres
Publié: (2024)

ShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents
par: Wang, Jiangyuan, et autres
Publié: (2025)

MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios
par: Li, Zhang, et autres
Publié: (2026)

Spatio-Temporal Grounding of Large Language Models from Perception Streams
par: Anderson, Jacob, et autres
Publié: (2026)