Copertina

Pre-trained Vision-Language Models Learn Discoverable Visual Concepts

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zang, Yuan, Yun, Tian, Tan, Hao, Bui, Trung, Sun, Chen
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Do Pre-trained Vision-Language Models Encode Object States?
di: Newman, Kaleb, et al.
Pubblicazione: (2024)

Superpixel Semantics Representation and Pre-training for Vision-Language Task
di: Zhang, Siyu, et al.
Pubblicazione: (2023)

On Pre-training of Multimodal Language Models Customized for Chart Understanding
di: Fan, Wan-Cyuan, et al.
Pubblicazione: (2024)

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training
di: Nie, Yuxiang, et al.
Pubblicazione: (2025)

MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos
di: Zang, Yuan, et al.
Pubblicazione: (2025)

In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding
di: Fan, Wan-Cyuan, et al.
Pubblicazione: (2025)

Compensating Distribution Drifts in Class-incremental Learning of Pre-trained Vision Transformers
di: Rao, Xuan, et al.
Pubblicazione: (2025)

Think Visually, Reason Textually: Vision-Language Synergy in ARC
di: Zhang, Beichen, et al.
Pubblicazione: (2025)

VLP: A Survey on Vision-Language Pre-training
di: Chen, Feilong, et al.
Pubblicazione: (2022)

Anatomical Structure-Guided Medical Vision-Language Pre-training
di: Li, Qingqiu, et al.
Pubblicazione: (2024)

Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images
di: Wu, Shengguang, et al.
Pubblicazione: (2025)

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
di: Kim, Sanghwan, et al.
Pubblicazione: (2024)

PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck
di: Pham, Thang M., et al.
Pubblicazione: (2024)

TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
di: Duan, Jinhao, et al.
Pubblicazione: (2025)

Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
di: Jin, Yang, et al.
Pubblicazione: (2024)

EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training
di: Du, Yiyang, et al.
Pubblicazione: (2026)

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
di: Woo, Sangmin, et al.
Pubblicazione: (2025)

From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models
di: Bhatia, Mehar, et al.
Pubblicazione: (2024)

VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning
di: Luo, Run, et al.
Pubblicazione: (2025)

Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training
di: Bawazir, Ameera, et al.
Pubblicazione: (2024)

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
di: Oh, Youngtaek, et al.
Pubblicazione: (2024)

Enhancing Vision-Language Model Pre-training with Image-text Pair Pruning Based on Word Frequency
di: Liang, Mingliang, et al.
Pubblicazione: (2024)

CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models
di: Tang, Zicong, et al.
Pubblicazione: (2025)

Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis
di: Nagar, Aishik, et al.
Pubblicazione: (2024)

Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models
di: Lee, Yi-Lun, et al.
Pubblicazione: (2024)

How Do Vision-Language Models Process Conflicting Information Across Modalities?
di: Hua, Tianze, et al.
Pubblicazione: (2025)

Diagnosing Bottlenecks in Data Visualization Understanding by Vision-Language Models
di: Tartaglini, Alexa R., et al.
Pubblicazione: (2025)

Can Vision-Language Models Solve Visual Math Equations?
di: Choudhury, Monjoy Narayan, et al.
Pubblicazione: (2025)

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition
di: Wang, Xiao, et al.
Pubblicazione: (2024)

VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models
di: Zhou, Chenyu, et al.
Pubblicazione: (2024)

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training
di: Xia, Renqiu, et al.
Pubblicazione: (2024)

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
di: Poppi, Samuele, et al.
Pubblicazione: (2023)

Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
di: Su, Tongkun, et al.
Pubblicazione: (2024)

HAWAII: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models
di: Wang, Yimu, et al.
Pubblicazione: (2025)

To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
di: Luo, Jiayun, et al.
Pubblicazione: (2025)

Bootstrapping Action-Grounded Visual Dynamics in Unified Vision-Language Models
di: Qiu, Yifu, et al.
Pubblicazione: (2025)

Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers
di: Wen, Yuxin, et al.
Pubblicazione: (2024)

CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification
di: Patrício, Cristiano, et al.
Pubblicazione: (2025)

Index-Preserving Lightweight Token Pruning for Efficient Document Understanding in Vision-Language Models
di: Son, Jaemin, et al.
Pubblicazione: (2025)

Leveraging Vision-Language Pre-training for Human Activity Recognition in Still Images
di: Mahanta, Cristina, et al.
Pubblicazione: (2025)