Cover Image

One-shot In-context Part Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dai, Zhenqi, Liu, Ting, Zhang, Xingxing, Wei, Yunchao, Zhang, Yanning
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Visual Prompt Selection for In-Context Learning Segmentation
by: Suo, Wei, et al.
Published: (2024)

Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey
by: Ran, Lingyan, et al.
Published: (2024)

Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging
by: Dai, Siyuan, et al.
Published: (2025)

You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement
by: Yan, Qingsen, et al.
Published: (2024)

Small Object Few-shot Segmentation for Vision-based Industrial Inspection
by: Zhang, Zilong, et al.
Published: (2024)

Seeing Through the Noise: Improving Infrared Small Target Detection and Segmentation from Noise Suppression Perspective
by: Yuan, Maoxun, et al.
Published: (2025)

UOD: Universal One-shot Detection of Anatomical Landmarks
by: Zhu, Heqin, et al.
Published: (2023)

Harnessing Group-Oriented Consistency Constraints for Semi-Supervised Semantic Segmentation in CdZnTe Semiconductors
by: Li, Peihao, et al.
Published: (2025)

Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
by: Xu, Wenbo, et al.
Published: (2024)

Visual Prompting for One-shot Controllable Video Editing without Inversion
by: Zhang, Zhengbo, et al.
Published: (2025)

Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation
by: Dou, Bin, et al.
Published: (2024)

Hallucination-aware intermediate representation edit in large vision-language models
by: Suo, Wei, et al.
Published: (2026)

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

Octopus: Alleviating Hallucination via Dynamic Contrastive Decoding
by: Suo, Wei, et al.
Published: (2025)

Can a Second-View Image Be a Language? Geometric and Semantic Cross-Modal Reasoning for X-ray Prohibited Item Detection
by: Peng, Chuang, et al.
Published: (2025)

OMEGA-Avatar: One-shot Modeling of 360° Gaussian Avatars
by: Xia, Zehao, et al.
Published: (2026)

DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment
by: Bounareli, Stella, et al.
Published: (2024)

Bridge the Points: Graph-based Few-shot Segment Anything Semantically
by: Zhang, Anqi, et al.
Published: (2024)

Breaking Self-Attention Failure: Rethinking Query Initialization for Infrared Small Target Detection
by: Liu, Yuteng, et al.
Published: (2026)

Incomplete In-context Learning
by: Wang, Wenqiang, et al.
Published: (2025)

One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos
by: Bai, Zechen, et al.
Published: (2024)

Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving
by: Yan, Jun, et al.
Published: (2024)

TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery
by: Wu, Kun, et al.
Published: (2024)

Pancreas Part Segmentation under Federated Learning Paradigm
by: Hong, Ziliang, et al.
Published: (2025)

Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
by: Gan, Yaozong, et al.
Published: (2024)

Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
by: Wu, Peng, et al.
Published: (2023)

SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation
by: Yue, Wenxi, et al.
Published: (2023)

SOMA: Feature Gradient Enhanced Affine-Flow Matching for SAR-Optical Registration
by: Wang, Haodong, et al.
Published: (2025)

One-shot synthesis of rare gastrointestinal lesions improves diagnostic accuracy and clinical training
by: Yu, Jia, et al.
Published: (2025)

DualTSR: Unified Dual-Diffusion Transformer for Scene Text Image Super-Resolution
by: Niu, Axi, et al.
Published: (2026)

Segment Anything in Pathology Images with Natural Language
by: Chen, Zhixuan, et al.
Published: (2025)

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

Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image Segmentation
by: Liu, Ting, et al.
Published: (2025)

Uncertainty-aware Prototype Learning with Variational Inference for Few-shot Point Cloud Segmentation
by: Zhao, Yifei, et al.
Published: (2026)

Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
by: Chen, Xinyue, et al.
Published: (2024)

Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment
by: Liu, Kai, et al.
Published: (2024)

Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation
by: Sun, Shoukun, et al.
Published: (2024)

A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition
by: Zhang, Jinghua, et al.
Published: (2023)

SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners
by: Guo, Ziyu, et al.
Published: (2024)

Siamese Transformer Networks for Few-shot Image Classification
by: Jiang, Weihao, et al.
Published: (2024)