Cover Image

Unified Language-driven Zero-shot Domain Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Senqiao, Tian, Zhuotao, Jiang, Li, Jia, Jiaya
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

LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model
by: Yang, Senqiao, et al.
Published: (2023)

Mitigating Object Hallucinations via Sentence-Level Early Intervention
by: Peng, Shangpin, et al.
Published: (2025)

VisionZip: Longer is Better but Not Necessary in Vision Language Models
by: Yang, Senqiao, et al.
Published: (2024)

Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?
by: Qu, Tianyuan, et al.
Published: (2025)

LISA: Reasoning Segmentation via Large Language Model
by: Lai, Xin, et al.
Published: (2023)

OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
by: Peng, Bohao, et al.
Published: (2024)

GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
by: Wang, Chengyao, et al.
Published: (2024)

Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
by: Tang, Longxiang, et al.
Published: (2024)

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
by: Yang, Senqiao, et al.
Published: (2025)

Consistency Beyond Contrast: Enhancing Open-Vocabulary Object Detection Robustness via Contextual Consistency Learning
by: Li, Bozhao, et al.
Published: (2026)

From Mapping to Composing: A Two-Stage Framework for Zero-shot Composed Image Retrieval
by: Wang, Yabing, et al.
Published: (2025)

Multimodal Dataset Distillation via Phased Teacher Models
by: Guo, Shengbin, et al.
Published: (2026)

Typicalness-Aware Learning for Failure Detection
by: Liu, Yijun, et al.
Published: (2024)

Domain Adaptation of Attention Heads for Zero-shot Anomaly Detection
by: Jeong, Kiyoon, et al.
Published: (2025)

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
by: Liu, Jiaming, et al.
Published: (2023)

Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention
by: Zhang, Wenhu, et al.
Published: (2026)

VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning
by: Li, Jingyao, et al.
Published: (2024)

DiffCLIP: Few-shot Language-driven Multimodal Classifier
by: Zhang, Jiaqing, et al.
Published: (2024)

VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis
by: Chu, Meng, et al.
Published: (2025)

CLIP-driven Zero-shot Learning with Ambiguous Labels
by: Fan, Jinfu, et al.
Published: (2026)

Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
by: Zhu, Anqi, et al.
Published: (2024)

UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
by: Zhang, Xiao, et al.
Published: (2025)

Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
by: Peng, Shangpin, et al.
Published: (2025)

SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain
by: Zhou, Jiawei, et al.
Published: (2025)

Enhancing Spatio-Temporal Zero-shot Action Recognition with Language-driven Description Attributes
by: Kim, Yehna, et al.
Published: (2025)

StarVLA-$α$: Reducing Complexity in Vision-Language-Action Systems
by: Ye, Jinhui, et al.
Published: (2026)

Unified Framework for Open-World Compositional Zero-shot Learning
by: Jayasekara, Hirunima, et al.
Published: (2024)

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
by: Duan, Yuxuan, et al.
Published: (2024)

SIDA: Synthetic Image Driven Zero-shot Domain Adaptation
by: Kim, Ye-Chan, et al.
Published: (2025)

Unified Source-Free Domain Adaptation
by: Tang, Song, et al.
Published: (2024)

Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation
by: Zhu, Mingkang, et al.
Published: (2025)

UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation
by: Li, Hengjia, et al.
Published: (2024)

Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization
by: Shen, Yang, et al.
Published: (2024)

Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
by: Li, Xinyao, et al.
Published: (2024)

Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation
by: Jiang, Yuxin, et al.
Published: (2025)

Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning
by: Zhao, Yifan, et al.
Published: (2025)

Infrared Domain Adaptation with Zero-Shot Quantization
by: Sevsay, Burak, et al.
Published: (2024)

DreamOmni: Unified Image Generation and Editing
by: Xia, Bin, et al.
Published: (2024)

One-shot Generative Domain Adaptation in 3D GANs
by: Li, Ziqiang, et al.
Published: (2024)

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