Image de couverture de livre

NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted One-Shot Segmentation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xu, Zhiyu, Chen, Qingliang
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Glass Segmentation with Multi Scales and Primary Prediction Guiding
par: Xu, Zhiyu, et autres
Publié: (2024)

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain
par: Yoon, Hangyul, et autres
Publié: (2024)

RAP: Retrieve, Adapt, and Prompt-Fit for Training-Free Few-Shot Medical Image Segmentation
par: Mao, Zhihao, et autres
Publié: (2026)

Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain
par: Immanuel, Steve Andreas, et autres
Publié: (2024)

Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
par: Park, SoYoung, et autres
Publié: (2025)

Evolving, Not Training: Zero-Shot Reasoning Segmentation via Evolutionary Prompting
par: Ye, Kai, et autres
Publié: (2025)

Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model
par: Choi, Joo Young, et autres
Publié: (2024)

SimpleMatch: A Simple and Strong Baseline for Semantic Correspondence
par: Jin, Hailing, et autres
Publié: (2026)

ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
par: Ayzenberg, Lev, et autres
Publié: (2024)

One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching
par: Yang, Siyuan, et autres
Publié: (2023)

MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
par: Gao, Bin-Bin
Publié: (2025)

TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers
par: Wang, Guoxin, et autres
Publié: (2025)

One Patient's Annotation is Another One's Initialization: Towards Zero-Shot Surgical Video Segmentation with Cross-Patient Initialization
par: Mousavi, Seyed Amir, et autres
Publié: (2025)

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation
par: Yan, Zhonghao, et autres
Publié: (2025)

One-Shot Manipulation Strategy Learning by Making Contact Analogies
par: Liu, Yuyao, et autres
Publié: (2024)

PVChat: Personalized Video Chat with One-Shot Learning
par: Shi, Yufei, et autres
Publié: (2025)

Learning from One and Only One Shot
par: Yu, Haizi, et autres
Publié: (2022)

TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation
par: Wang, Ranmin, et autres
Publié: (2024)

Fixed-length Dense Descriptor for Efficient Fingerprint Matching
par: Pan, Zhiyu, et autres
Publié: (2023)

Spatio-Temporal Context Prompting for Zero-Shot Action Detection
par: Huang, Wei-Jhe, et autres
Publié: (2024)

FedS2R: One-Shot Federated Domain Generalization for Synthetic-to-Real Semantic Segmentation in Autonomous Driving
par: Lian, Tao, et autres
Publié: (2025)

Segment Any Anomaly without Training via Hybrid Prompt Regularization
par: Cao, Yunkang, et autres
Publié: (2023)

Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
par: Stangl, Kevin, et autres
Publié: (2024)

Two-Stage Random Alternation Framework for One-Shot Pansharpening
par: Chen, Haorui, et autres
Publié: (2025)

From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs
par: Wu, Boyong, et autres
Publié: (2026)

AoP-SAM: Automation of Prompts for Efficient Segmentation
par: Chen, Yi, et autres
Publié: (2025)

MatchSeg: Towards Better Segmentation via Reference Image Matching
par: Huo, Jiayu, et autres
Publié: (2024)

Prompt-Based Continual Compositional Zero-Shot Learning
par: Maryam, Sauda, et autres
Publié: (2025)

Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning
par: Tang, Hao, et autres
Publié: (2024)

Prompting Foundation Models for Zero-Shot Ship Instance Segmentation in SAR Imagery
par: Mansour, Islam, et autres
Publié: (2026)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
par: Bassi, Pedro R. A. S., et autres
Publié: (2024)

Few-Shot Pattern Detection via Template Matching and Regression
par: Jo, Eunchan, et autres
Publié: (2025)

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation
par: Großkopf, Erik, et autres
Publié: (2026)

MASTER: Multimodal Segmentation with Text Prompts
par: Liu, Fuyang, et autres
Publié: (2025)

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction
par: Kim, Seunghoi, et autres
Publié: (2026)

Navigating the Trade-off: A Synthesis of Defensive Strategies for Zero-Shot Adversarial Robustness in Vision-Language Models
par: Xu, Zane, et autres
Publié: (2025)

Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
par: Zhang, Zhenyu, et autres
Publié: (2025)

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
par: Li, Shengze, et autres
Publié: (2024)

One-stage Prompt-based Continual Learning
par: Kim, Youngeun, et autres
Publié: (2024)

Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis
par: Khwaja, Emaad, et autres
Publié: (2024)