Cover Image

How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xuchen, Hu, Shiyu, Feng, Xiaokun, Zhang, Dailing, Wu, Meiqi, Zhang, Jing, Huang, Kaiqi
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM
by: Li, Xuchen, et al.
Published: (2024)

DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM
by: Li, Xuchen, et al.
Published: (2024)

Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark
by: Li, Xuchen, et al.
Published: (2024)

Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards
by: Chen, Honghao, et al.
Published: (2025)

Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation
by: Wang, Zehao, et al.
Published: (2024)

Select Less, Reason More: Prioritizing Evidence Purity for Video Reasoning
by: Li, Xuchen, et al.
Published: (2025)

Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
by: Chen, Honghao, et al.
Published: (2024)

CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos
by: Li, Xuchen, et al.
Published: (2025)

VS-LLM: Visual-Semantic Depression Assessment based on LLM for Drawing Projection Test
by: Wu, Meiqi, et al.
Published: (2025)

DARTer: Dynamic Adaptive Representation Tracker for Nighttime UAV Tracking
by: Li, Xuzhao, et al.
Published: (2025)

CELLO: Causal Evaluation of Large Vision-Language Models
by: Chen, Meiqi, et al.
Published: (2024)

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
by: Jing, Liqiang, et al.
Published: (2023)

Latent Temporal Discrepancy as Motion Prior: A Loss-Weighting Strategy for Dynamic Fidelity in T2V
by: Wu, Meiqi, et al.
Published: (2026)

Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World
by: Wu, Meiqi, et al.
Published: (2024)

FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training
by: Huang, Jiale, et al.
Published: (2024)

MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
by: Hong, Wenyi, et al.
Published: (2025)

Fine-grained Image Retrieval via Dual-Vision Adaptation
by: Jiang, Xin, et al.
Published: (2025)

Language-driven Fine-grained Retrieval
by: Wang, Shijie, et al.
Published: (2025)

Let's Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language Models
by: Sun, Yuhao, et al.
Published: (2026)

Enhancing Vision-Language Tracking by Effectively Converting Textual Cues into Visual Cues
by: Feng, X., et al.
Published: (2024)

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking
by: Feng, X., et al.
Published: (2025)

FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
by: Jing, Liqiang, et al.
Published: (2024)

PestVL-Net: Enabling Multimodal Pest Learning via Fine-grained Vision-Language Interaction
by: Li, Xueheng, et al.
Published: (2026)

ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints
by: Wu, Meiqi, et al.
Published: (2025)

Adapting Vision-Language Model with Fine-grained Semantics for Open-Vocabulary Segmentation
by: Chng, Yong Xien, et al.
Published: (2024)

MATrack: Efficient Multiscale Adaptive Tracker for Real-Time Nighttime UAV Operations
by: Li, Xuzhao, et al.
Published: (2025)

Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World Models
by: Wu, Meiqi, et al.
Published: (2026)

Unleashing Video Language Models for Fine-grained HRCT Report Generation
by: Fang, Yingying, et al.
Published: (2026)

Tag2Text: Guiding Vision-Language Model via Image Tagging
by: Huang, Xinyu, et al.
Published: (2023)

FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges
by: Hayes, Kevin David, et al.
Published: (2025)

ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding
by: Wang, Xingqi, et al.
Published: (2025)

Quality Text, Robust Vision: The Role of Language in Enhancing Visual Robustness of Vision-Language Models
by: Waseda, Futa, et al.
Published: (2025)

Beyond Accuracy: Evaluating Grounded Visual Evidence in Thinking with Images
by: Li, Xuchen, et al.
Published: (2026)

MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization
by: Zhang, Yaning, et al.
Published: (2026)

Does Peer Observation Help? Vision-Sharing Collaboration for Vision-Language Navigation
by: Jin, Qunchao, et al.
Published: (2026)

ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering
by: Guan, Kaisi, et al.
Published: (2025)

VPTracker: Global Vision-Language Tracking via Visual Prompt
by: Wang, Jingchao, et al.
Published: (2025)

UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding
by: Wang, Zhecan, et al.
Published: (2023)

Text Speaks Louder than Vision: ASCII Art Reveals Textual Biases in Vision-Language Models
by: Wang, Zhaochen, et al.
Published: (2025)

F2RVLM: Boosting Fine-grained Fragment Retrieval for Multi-Modal Long-form Dialogue with Vision Language Model
by: Bi, Hanbo, et al.
Published: (2025)