Imagen de Portada

Clustered-patch Element Connection for Few-shot Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lai, Jinxiang, Yang, Siqian, Zhou, Junhong, Wu, Wenlong, Chen, Xiaochen, Liu, Jun, Gao, Bin-Bin, Wang, Chengjie
Formato:	Preprint
Publicado:	2023
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

tSF: Transformer-based Semantic Filter for Few-Shot Learning
por: Lai, Jinxiang, et al.
Publicado: (2022)

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
por: Gao, Bin-Bin, et al.
Publicado: (2025)

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning
por: Lai, Jinxiang, et al.
Publicado: (2023)

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
por: Zhan, Jiawei, et al.
Publicado: (2024)

MatchDet: A Collaborative Framework for Image Matching and Object Detection
por: Lai, Jinxiang, et al.
Publicado: (2023)

Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
por: Fan, Yuanting, et al.
Publicado: (2025)

BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
por: Lai, Jinxiang, et al.
Publicado: (2025)

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
por: Gui, Guan, et al.
Publicado: (2025)

One Language-Free Foundation Model Is Enough for Universal Vision Anomaly Detection
por: Gao, Bin-Bin, et al.
Publicado: (2026)

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

Large-Scale Universal Defect Generation: Foundation Models and Datasets
por: Fan, Yuanting, et al.
Publicado: (2026)

DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
por: Zhan, Jiawei, et al.
Publicado: (2025)

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

ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning
por: Tan, Xiaofeng, et al.
Publicado: (2026)

The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
por: Li, Yaohui, et al.
Publicado: (2024)

CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning
por: Wang, Yue, et al.
Publicado: (2022)

Towards Few-shot Out-of-Distribution Detection
por: Dong, Jiuqing, et al.
Publicado: (2023)

Making Large Vision Language Models to be Good Few-shot Learners
por: Liu, Fan, et al.
Publicado: (2024)

Few-shot Calligraphy Style Learning
por: Chen, Fangda, et al.
Publicado: (2024)

TAGE: Trustworthy Attribute Group Editing for Stable Few-shot Image Generation
por: Zhang, Ruicheng, et al.
Publicado: (2024)

Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction
por: Zhang, Wenhao, et al.
Publicado: (2024)

Semantic Enhanced Few-shot Object Detection
por: Wang, Zheng, et al.
Publicado: (2024)

Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
por: Rong, Jintao, et al.
Publicado: (2023)

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

MPA: Multimodal Prototype Augmentation for Few-Shot Learning
por: Wu, Liwen, et al.
Publicado: (2026)

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
por: Feng, Chen-Bin, et al.
Publicado: (2024)

CLIP-guided Prototype Modulating for Few-shot Action Recognition
por: Wang, Xiang, et al.
Publicado: (2023)

Learning Trajectory-Aware Multimodal Large Language Models for Video Reasoning Segmentation
por: Luo, Jingnan, et al.
Publicado: (2026)

Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
por: Guo, Qianyu, et al.
Publicado: (2025)

Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
por: Wu, Xiaoxiao, et al.
Publicado: (2024)

When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy
por: Tan, Xiaofeng, et al.
Publicado: (2026)

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
por: Liu, Mushui, et al.
Publicado: (2024)

E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
por: Yang, Wanqi, et al.
Publicado: (2024)

Few-shot Adaptation of Multi-modal Foundation Models: A Survey
por: Liu, Fan, et al.
Publicado: (2024)

SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning
por: Zhang, Tao, et al.
Publicado: (2023)

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

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

MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
por: Zhang, Zhenyu, et al.
Publicado: (2024)

TSAL: Few-shot Text Segmentation Based on Attribute Learning
por: Li, Chenming, et al.
Publicado: (2025)

Reliable Few-shot Learning under Dual Noises
por: Zhang, Ji, et al.
Publicado: (2025)