Cover Image

ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Truong, Thanh-Dat, Li, Xin, Raj, Bhiksha, Cothren, Jackson, Luu, Khoa
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
by: Truong, Thanh-Dat, et al.
Published: (2023)

$ϕ$-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models
by: Truong, Thanh-Dat, et al.
Published: (2026)

Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models
by: Truong, Thanh-Dat, et al.
Published: (2025)

CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars
by: Truong, Thanh-Dat, et al.
Published: (2022)

BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models
by: Tran, Huu-Thien, et al.
Published: (2025)

Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective
by: Truong, Thanh-Dat, et al.
Published: (2023)

Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
by: Truong, Thanh-Dat, et al.
Published: (2025)

EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
by: Truong, Thanh-Dat, et al.
Published: (2024)

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding
by: Nguyen, Xuan-Bac, et al.
Published: (2025)

MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
by: Truong, Thanh-Dat, et al.
Published: (2025)

DINTR: Tracking via Diffusion-based Interpolation
by: Nguyen, Pha, et al.
Published: (2024)

Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy
by: Nguyen, Hoang-Quan, et al.
Published: (2024)

Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
by: Nguyen, Hoang-Quan, et al.
Published: (2023)

CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
by: Nguyen, Trong-Thuan, et al.
Published: (2024)

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation
by: Nguyen, Trong-Thuan, et al.
Published: (2024)

Towards Robust and Fair Vision Learning in Open-World Environments
by: Truong, Thanh-Dat
Published: (2024)

THYME: Temporal Hierarchical-Cyclic Interactivity Modeling for Video Scene Graphs in Aerial Footage
by: Nguyen, Trong-Thuan, et al.
Published: (2025)

FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis
by: Chappa, Naga VS Raviteja, et al.
Published: (2024)

HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding
by: Nguyen, Trong-Thuan, et al.
Published: (2023)

Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation
by: Zhang, Xin, et al.
Published: (2025)

FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation
by: Le, Minh Khoa, et al.
Published: (2026)

COBRA: A Continual Learning Approach to Vision-Brain Understanding
by: Nguyen, Xuan-Bac, et al.
Published: (2024)

Brainformer: Mimic Human Visual Brain Functions to Machine Vision Models via fMRI
by: Nguyen, Xuan-Bac, et al.
Published: (2023)

Towards multi-modal forgery representation learning for AI-generated video detection and localization
by: Le, Dat, et al.
Published: (2026)

QLAM: A Quantum Long-Attention Memory Approach to Long-Sequence Token Modeling
by: Nguyen, Hoang-Quan, et al.
Published: (2026)

Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation
by: Nguyen, Huu Tien, et al.
Published: (2025)

Sampling Foundational Transformer: A Theoretical Perspective
by: Nguyen, Viet Anh, et al.
Published: (2024)

Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction
by: Cong, Dat Nguyen, et al.
Published: (2025)

Robust SAM: On the Adversarial Robustness of Vision Foundation Models
by: Long, Jiahuan, et al.
Published: (2025)

ELEV-VISION-SAM: Integrated Vision Language and Foundation Model for Automated Estimation of Building Lowest Floor Elevation
by: Ho, Yu-Hsuan, et al.
Published: (2024)

Quantum Vision Clustering
by: Nguyen, Xuan Bac, et al.
Published: (2023)

Efficient Domain-Adaptive Multi-Task Dense Prediction with Vision Foundation Models
by: Kang, Beomseok, et al.
Published: (2025)

BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning
by: Nguyen, Xuan-Bac, et al.
Published: (2024)

RePack then Refine: Efficient Diffusion Transformer with Vision Foundation Model
by: Dong, Guanfang, et al.
Published: (2025)

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
by: Zhang, Chaoning, et al.
Published: (2023)

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding
by: Nguyen, Hoang-Quan, et al.
Published: (2024)

LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks
by: Nguyen, Truong Thanh Hung, et al.
Published: (2024)

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach
by: Nguyen, Dac Thai, et al.
Published: (2024)

NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis
by: Serna-Aguilera, Manuel, et al.
Published: (2026)

Multi-Perspective Data Augmentation for Few-shot Object Detection
by: Vu, Anh-Khoa Nguyen, et al.
Published: (2025)