Cover Image

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Senqiao, Wu, Jiarui, Liu, Jiaming, Li, Xiaoqi, Zhang, Qizhe, Pan, Mingjie, Gan, Yulu, Chen, Zehui, Zhang, Shanghang
Format:	Preprint
Published:	2023
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

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
by: Liu, Jiaming, et al.
Published: (2023)

MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
by: Zhang, Qizhe, et al.
Published: (2023)

BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection
by: Liu, Jiaming, et al.
Published: (2022)

A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track
by: Chen, Zehui, et al.
Published: (2024)

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

Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation
by: Ni, Jiayi, et al.
Published: (2023)

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision
by: Pan, Mingjie, et al.
Published: (2023)

Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer
by: Liu, Jiaming, et al.
Published: (2022)

RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation
by: Liu, Jiaming, et al.
Published: (2024)

BEVUDA++: Geometric-aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection
by: Zhang, Rongyu, et al.
Published: (2025)

Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training
by: Chen, Xinyan, et al.
Published: (2023)

NTO3D: Neural Target Object 3D Reconstruction with Segment Anything
by: Wei, Xiaobao, et al.
Published: (2023)

FreeKD: Knowledge Distillation via Semantic Frequency Prompt
by: Zhang, Yuan, et al.
Published: (2023)

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
by: Cao, Jiajun, et al.
Published: (2025)

Unified Language-driven Zero-shot Domain Adaptation
by: Yang, Senqiao, et al.
Published: (2024)

Visual Attention Prompted Prediction and Learning
by: Zhang, Yifei, et al.
Published: (2023)

Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
by: Zhang, Qizhe, et al.
Published: (2024)

Gradient-based Parameter Selection for Efficient Fine-Tuning
by: Zhang, Zhi, et al.
Published: (2023)

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective
by: Zhang, Zhi, et al.
Published: (2024)

AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs
by: Zhang, Yuan, et al.
Published: (2025)

MoASE++: Mixture of Activation Sparsity Experts with Domain-Adaptive On-policy Distillation for Continual Test Time Adaptation
by: Zhang, Ronyu, et al.
Published: (2026)

MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs
by: Ma, Junpeng, et al.
Published: (2025)

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
by: Zhang, Qizhe, et al.
Published: (2025)

Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
by: Gao, Hongzhi, et al.
Published: (2024)

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

Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction
by: Guo, Ziyao, et al.
Published: (2025)

ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
by: Pang, Youwei, et al.
Published: (2023)

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

From Spots to Pixels: Dense Spatial Gene Expression Prediction from Histology Images
by: Zhang, Ruikun, et al.
Published: (2025)

Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation
by: Huang, Xinyang, et al.
Published: (2024)

S2D: Sparse to Dense Lifting for 3D Reconstruction with Minimal Inputs
by: Ji, Yuzhou, et al.
Published: (2026)

BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation
by: Pan, Yulu, et al.
Published: (2025)

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
by: Zhang, Yuan, et al.
Published: (2024)

Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
by: Lin, Weifeng, et al.
Published: (2024)

PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation
by: Shang, Chikai, et al.
Published: (2025)

Prefer-DAS: Learning from Local Preferences and Sparse Prompts for Domain Adaptive Segmentation of Electron Microscopy
by: Chen, Jiabao, et al.
Published: (2026)

ChainV: Atomic Visual Hints Make Multimodal Reasoning Shorter and Better
by: Zhang, Yuan, et al.
Published: (2025)

SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images
by: Zheng, Jintu, et al.
Published: (2024)

ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts
by: Wang, Xiaoqi, et al.
Published: (2025)

Reason-Then-Retrieve for CoVR-R with Structured Edit Prompts and Dense-Sparse Fusion
by: Liu, DongQing, et al.
Published: (2026)