:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shi, Qingfeng, Wei, Jing, Shen, Fei, Zhang, Zhengtao
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2408.00372
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
by: Qu, Zhen, et al.
Published: (2024)

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
by: Zhu, Muzhi, et al.
Published: (2024)

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
by: Brokman, Jonathan, et al.
Published: (2025)

Few-shot Image Generation via Masked Discrimination
by: Zhu, Jingyuan, et al.
Published: (2022)

Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation
by: Shen, Yao, et al.
Published: (2024)

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting
by: Zhang, Junyan, et al.
Published: (2025)

DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup
by: Qu, Zhen, et al.
Published: (2025)

Adaptive Semantic Consistency for Cross-domain Few-shot Classification
by: Lu, Hengchu, et al.
Published: (2023)

MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context
by: Lyu, Shuai, et al.
Published: (2024)

FAMSeC: A Few-shot-sample-based General AI-generated Image Detection Method
by: Xu, Juncong, et al.
Published: (2024)

Modularized Networks for Few-shot Hateful Meme Detection
by: Cao, Rui, et al.
Published: (2024)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation
by: Liu, Jie, et al.
Published: (2025)

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

Few-shot Online Anomaly Detection and Segmentation
by: Wei, Shenxing, et al.
Published: (2024)

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
by: Liu, Chun, et al.
Published: (2025)

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

Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
by: Lai, Bolin, et al.
Published: (2024)

DroneSR: Rethinking Few-shot Thermal Image Super-Resolution from Drone-based Perspective
by: Weng, Zhipeng, et al.
Published: (2025)

Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
by: Liu, Tongkun, et al.
Published: (2025)

LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation
by: Ding, Hanze, et al.
Published: (2024)

Few-shot Object Localization
by: Ren, Yunhan, et al.
Published: (2024)

Make It Up: Fake Images, Real Gains in Generalized Few-shot Semantic Segmentation
by: Xie, Guohuan, et al.
Published: (2026)

What Makes Good Few-shot Examples for Vision-Language Models?
by: Guo, Zhaojun, et al.
Published: (2024)

Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition
by: Cao, Congqi, et al.
Published: (2024)

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

Generic Objects as Pose Probes for Few-shot View Synthesis
by: Gao, Zhirui, et al.
Published: (2024)

Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
by: Zhao, Lin, et al.
Published: (2024)

FLIER: Few-shot Language Image Models Embedded with Latent Representations
by: Zhou, Zhinuo, et al.
Published: (2024)

Uni-DAD: Unified Distillation and Adaptation of Diffusion Models for Few-step Few-shot Image Generation
by: Bahram, Yara, et al.
Published: (2025)

HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation
by: Li, Lingxiao, et al.
Published: (2024)

DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
by: Guo, Fei, et al.
Published: (2024)

Rethinking Few-shot Class-incremental Learning: Learning from Yourself
by: Tang, Yu-Ming, et al.
Published: (2024)

Beyond Class Tokens: LLM-guided Dominant Property Mining for Few-shot Classification
by: Zhuo, Wei, et al.
Published: (2025)

Data-Efficient Generalization for Zero-shot Composed Image Retrieval
by: Chen, Zining, et al.
Published: (2025)

Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
by: Xu, Yingjie, et al.
Published: (2024)

Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
by: Peng, Rui, et al.
Published: (2024)

FishAI 2.0: Marine Fish Image Classification with Multi-modal Few-shot Learning
by: Yang, Chenghan, et al.
Published: (2025)

MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
by: Zhou, Junjie, et al.
Published: (2025)

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

Few-shot Novel Category Discovery
by: Li, Chunming, et al.
Published: (2025)