Visual Grounding Benchmarks

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Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback
Sep 30, 2026Ho-min Park, Byungkon KangMultimodal Representations Multimodal Classification
Data Science Center, Texas Children’s Hospital Baylor College of Medicine Houston, Texas 77030, USA · Department of Computer Science SUNY Korea Incheon, Republic of Korea
From Routing Signals to Selective Review: Visual regrounding in MoE VLMs
Sep 29, 2026Hongzhu Guo, Mohsen Fayyaz, Nanyun PengVisual Grounding Benchmarks Mixture-Of-Experts
University of California, Los Angeles · Peking University
Seg3DParts: Segmentation-Grounded Controllable Part-Level 3D Generation
Sep 29, 2026Jiantao Lin, Meixi Chen, Yingjie Xu +53D Models Visual Grounding Benchmarks
The Hong Kong University of Science and Technology (Guangzhou) · Knowin AI · The Hong Kong University of Science and Technology
GeoBridge: Decoupled Semantic Conditioning for Generative Image Geolocalization
Aug 12, 2026Zhiyang Dou, Xumeng Han, Fengde Peng +4Cross-View Geo-Localization Visual Grounding Benchmarks
School of Advanced Interdisciplinary Sciences · School of Electronic, Electrical and Communication Engineering · 3Shenzhen Institutes of Advanced Technology
VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation
Aug 6, 2026Lala Shakti Swarup Ray, Vitor Fortes Rey, Mengxi Liu +2Human Activity Recognition Inertial Measurement Units
DFKI, Germany · DFKI · RPTU Kaiserslautern-Landau
SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation
Aug 3, 2026Yiming Wang, Ye Chen, Hanqi Chen +1Scalable Vector Graphic Sketches
School of Integrated Circuits (School of Information Science and Electronic Engineering), Shanghai Jiao Tong University, Shanghai, China · Zhiyuan College, Shanghai Jiao Tong University, Shanghai, China · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China
GeoArbiter: Verifiability-Guided Grounding for Remote-Sensing Multimodal LLMs
Aug 1, 2026Xuechen LiRemote Sensing Reference-Guided Multimodal In-Context Verification
University of Minnesota, Twin Cities
How Do VLMs Fail? Vision-Operation Misalignment in Compositional VQA
Jul 17, 2026Navya Gupta, Bingjie Xu, Avinash Anand +2Visual Grounding Benchmarks Misalignment Persona
Singapore Institute of Technology Singapore · NVIDIA Singapore
UniRef-UAV: A Multimodal Benchmark for Universal Referring in UAV Imagery
Jul 9, 2026Haibin Tian, Huichao Xie, Xuelin Qian +3Aerial Imagery Visual Grounding Benchmarks
School of Automation, Northwestern Polytechnical University, Xi’an 710072, China · College of Missile Engineering, Rocket Force University of Engineering, Xi’an 710038, China · School of Artificial Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Visually Grounded Self-Reflection for Vision-Language Models via Reinforcement Learning
Jul 2, 2026Liyan Tang, Fangcong Yin, Greg DurrettRecent Vision-Language Models Visual Grounding Benchmarks
The University of Texas at Austin · New York University
Think While You Map: Asynchronous Vision-Language Agents for Incremental 3D Scene Graphs
Jun 30, 2026Deniz Bickici, Michael Pabst, Shohei Mori +13D Scene Graphs Voxel
University of Stuttgart, Germany · IMPRS-IS, Germany · Graz University of Technology, Austria
Understanding How MLLMs Describe Artworks Using Token Activation Maps
Jun 26, 2026Nicola Fanelli, Pasquale De Marinis, Raffaele Scaringi +3Long Visual-Token Sequences Multimodal Large Language Models
Department of Computer Science University of Bari Aldo Moro Bari, Italy
PointVG-R: Internalizing Geometric Reasoning in MLLMs for Precise Pointing Localization via Visual Chain of Thought
Jun 23, 2026Ling Li, Bowen Liu, Zinuo Zhan +5Visual Grounding Benchmarks Multimodal Large Language Models
Tsinghua University Beijing Shi, China · Dalian University of Technology Dalian Shi, China · Northwestern Polytechnical University Xi’an Shi, China +1
Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views
Jun 22, 2026Jiho Choi, Seonho Lee, Seojeong Park +13D Representation Visual Grounding Benchmarks
Graduate School of Artificial Intelligence, KAIST, Republic of Korea · KRAFTON, Republic of Korea
Faithful Grounded Visual Reasoning via Learned Proxy-Tokens
Jun 22, 2026Tom Hodemon, Mohamed Chaouch, Aboubacar Tuo +1Visual Grounding Benchmarks Visual Reasoning
Universit´e Paris-Saclay, CEA, List, F-91120, Palaiseau, France
Training-Free Open-Vocabulary Visual Grounding for Remote Sensing Images and Videos
Jun 15, 2026Ke Li, Di Wang, Yongshan Zhu +5Weak Visual Grounding Visual Grounding Benchmarks
School of Computer Science and Technology, Xidian University, Xi’an 710071, China · Interdisciplinary Institute of Artificial Intelligence, Xidian University, Xi’an, Shaanxi 710126, China · School of Artificial Intelligence, Xidian University, Xi’an 710071, China +2
Pinpoint: Grounded Worldwide Image Geolocation via Cross-Source Retrieval and Reranking
Jun 2, 2026Nika Chuzhoy, Brian Hu, Amit A. Arora +2Cross-View Geo-Localization Visual Place Recognition
Virtualitics
Improving Visual Grounding in Remote Sensing via Cluster-Guided Refinement and Model Ensemble Voting
May 30, 2026Panav Shah, Geet Sethi, Ashutosh GandheRemote Sensing Image Segmentation Remote Sensing
Indian Institute of Technology Bombay Mumbai, India · Indian Institute of Technology Bombay2026 Mumbai, India
Reading or Guessing? Visual Grounding Failures of Vision-Language Models for OCR in Ancient Greek Editions
May 26, 2026Antonia Karamolegkou, Nicolas Angleraud, Benoît Sagot +1Optical Character Recognition Visual Grounding Benchmarks
Inria, Paris, France
Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models
May 25, 2026Yulin Yuan, Hongshuo Zhao, Xiangming MengMultimodal Diffusion Models Multimodal Large Language Models
Zhejiang University · ZJUI-UIUC Institute
Beyond Appearance: Can Multimodal Large Language Models Exploit Vertical Structure for Remote Sensing Natural Scene Understanding?
May 25, 2026Jing Huang, Duanchu Wang, Junjie Yang +5Visual Grounding Benchmarks Remote Sensing
School of Software Engineering, Xi’an Jiaotong University, Xi’an 710049, China · Shenyang Institute of Automation, University of Chinese Academy of Sciences, Shenyang, China · State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi’an Jiaotong University
Dual-Pathway Circuits of Object Hallucination in Vision-Language Models
May 13, 2026Jiaxin Liu, Ding Zhong, Yue Wang +6Object Hallucination Generative Hallucination
UIUC · UMich · Stanford +5
MAG-VLAQ: Multi-modal Aerial-Ground Query Aggregation for Cross-View Place Recognition
May 10, 2026Zhengyi Xu, Yuhang Ming, Zhihao Zhan +3Visual Place Recognition Cross-View Fusion
Hangzhou Dianzi University · TopXGun Robotics · University of Zaragoza
Investigating Anisotropy in Visual Grounding under Controlled Counterfactual Perturbations
May 9, 2026Gabriele Lombardo, Luigi Maiorana, Liliana Lo Presti +1Visual Grounding Benchmarks Contextual Cues
University of Palermo Palermo, Italy
RGBT-GroundBench: Visual Grounding Beyond RGB in Complex Real-World Scenarios
Dec 31, 2025Tianyi Zhao, Jiawen Xi, Linhui Xiao +4Visual Grounding Benchmarks Rgb-Event Object Tracking
Institute of Artificial Intelligence, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China · Pengcheng Laboratory, Shenzhen, China · Shanghai Jiao Tong University, Shanghai, China

Sep 30, 2026, cs.LGJ/K move · Enter open · S save

Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback

Ho-min Park, Byungkon Kang

Data Science Center, Texas Children’s Hospital Baylor College of Medicine Houston, Texas 77030, USA · Department of Computer Science SUNY Korea Incheon, Republic of Korea

Multimodal Representations Multimodal Classification Complementary Modalities Visual Grounding Benchmarks Feedback Equilibrium

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This work proposes a mutual feedback architecture, MEQ, that refines the two inputs, of possibly different modalities, into a pair of coupled embeddings such that each embedding reflects the information of the other. The core idea is to incorporate continuous interchange of information between the two inputs. This idea leads to a mutual feedback architecture consisting of two components whose outputs are fed back into the other. The final output of this model is defined as the fixed point of this interaction. We provide theoretical analysis that offers interpretation of this model as well as design choices to prevent failure cases. We show the benefits of MEQ through classification and visual grounding tasks spanning various datasets. Quantitatively, our model outperforms or shows competitive performance on concatenation-based multimodal classification problems. Qualitatively, the proposed interactive mechanism allows the model to progressively refine the visual grounding when paired with complementary modality, thus demonstrating the power of mutual feedback under such settings.

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