Cover Image

FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Faure, Gueter Josmy, Chen, Min-Hung, Yeh, Jia-Fong, Su, Hung-Ting, Hsu, Winston H.
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics
by: Faure, Gueter Josmy, et al.
Published: (2024)

SPATIOROUTE: Dynamic Prompt Routing for Zero-Shot Spatial Reasoning
by: Chunhachatrachai, Pawat, et al.
Published: (2026)

SceneFunRI: Reasoning the Invisible for Task-Driven Functional Object Localization
by: Chen, Posheng, et al.
Published: (2026)

MovieCORE: COgnitive REasoning in Movies
by: Faure, Gueter Josmy, et al.
Published: (2025)

VLN-NF: Feasibility-Aware Vision-and-Language Navigation with False-Premise Instructions
by: Su, Hung-Ting, et al.
Published: (2026)

ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints
by: Chen, Pei-An, et al.
Published: (2026)

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

Affordance-Guided Coarse-to-Fine Exploration for Base Placement in Open-Vocabulary Mobile Manipulation
by: Lin, Tzu-Jung, et al.
Published: (2025)

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
by: Cai, Mu, et al.
Published: (2024)

Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies
by: Su, Hung-Ting, et al.
Published: (2024)

Tracking-Assisted Object Detection with Event Cameras
by: Yen, Ting-Kang, et al.
Published: (2024)

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

CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation
by: Yuan, Ruifeng, et al.
Published: (2026)

MA-Bench: Towards Fine-grained Micro-Action Understanding
by: Li, Kun, et al.
Published: (2026)

ViGoEmotions: A Benchmark Dataset For Fine-grained Emotion Detection on Vietnamese Texts
by: Tran, Hung Quang, et al.
Published: (2026)

MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding
by: Zhu, Fengbin, et al.
Published: (2024)

Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses
by: Su, Hung-Ting, et al.
Published: (2024)

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
by: Kim, Seungone, et al.
Published: (2024)

FineState-Bench: Benchmarking State-Conditioned Grounding for Fine-grained GUI State Setting
by: Ji, Fengxian, et al.
Published: (2026)

KPM-Bench: A Kinematic Parsing Motion Benchmark for Fine-grained Motion-centric Video Understanding
by: Lin, Boda, et al.
Published: (2026)

Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding
by: Xu, Lilin, et al.
Published: (2025)

RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension
by: Chen, Yelin, et al.
Published: (2026)

Tel2Veh: Fusion of Telecom Data and Vehicle Flow to Predict Camera-Free Traffic via a Spatio-Temporal Framework
by: Lin, ChungYi, et al.
Published: (2024)

Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation
by: Wu, Tsung-Han, et al.
Published: (2024)

FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
by: Jiang, Yuxin, et al.
Published: (2023)

Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers
by: Pantazopoulos, Georgios, et al.
Published: (2024)

Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection
by: Chen, Huang-Yu, et al.
Published: (2024)

VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation
by: Hung, Kuo-Han, et al.
Published: (2024)

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
by: Shui, Zhongyi, et al.
Published: (2025)

Context-Aware Replanning with Pre-explored Semantic Map for Object Navigation
by: Ko, Po-Chen, et al.
Published: (2024)

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
by: Chow, Wei, et al.
Published: (2025)

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding
by: Sun, Boyuan, et al.
Published: (2026)

Zoom-Zero: Reinforced Coarse-to-Fine Video Understanding via Temporal Zoom-in
by: Shen, Xiaoqian, et al.
Published: (2025)

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
by: Jiang, Jiachen, et al.
Published: (2025)

IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language Models
by: Guo, Mingning, et al.
Published: (2024)

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

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

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

Distilling Fine-grained Sentiment Understanding from Large Language Models
by: Zhang, Yice, et al.
Published: (2024)

FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain
by: Afzal, Anum, et al.
Published: (2025)