Cover Image

Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yeh, Jia-Fong, Lee, Hsin-Ying, Tsai, Bing-Chen, Chen, Yi-Rong, Huang, Ping-Chia, Hsu, Winston H.
Format:	Preprint
Published:	2020
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning
by: Lin, Po-Shao, et al.
Published: (2024)

Compact Semantic‐Aware Priors for Large‐Margin Few‐Shot Classification
by: Jiaying Wu, et al.
Published: (2026)

Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation
by: Chen, Jiayi, et al.
Published: (2024)

AED: Adaptable Error Detection for Few-shot Imitation Policy
by: Yeh, Jia-Fong, et al.
Published: (2024)

Cross-modal Affinity-aligned Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Game-Based Learning
by: Tsai, Wen-Hsin, et al.
Published: (2026)

Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection
by: Chen, Huang-Yu, et al.
Published: (2024)

Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
by: Su, Jiapeng, et al.
Published: (2024)

VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation
by: Hung, Kuo-Han, et al.
Published: (2024)

Random Registers for Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2025)

Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
by: Nie, Jiahao, et al.
Published: (2024)

ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints
by: Chen, Pei-An, et al.
Published: (2026)

Few-Shot and Pseudo-Label Guided Speech Quality Evaluation with Large Language Models
by: Zezario, Ryandhimas E., et al.
Published: (2026)

Affordance-Guided Coarse-to-Fine Exploration for Base Placement in Open-Vocabulary Mobile Manipulation
by: Lin, Tzu-Jung, et al.
Published: (2025)

FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding
by: Faure, Gueter Josmy, et al.
Published: (2026)

GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection
by: Liu, Jiacong, et al.
Published: (2026)

A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping
by: Chen, Jiajun, et al.
Published: (2025)

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
by: Kang, Suhyun, et al.
Published: (2024)

Context-Aware Replanning with Pre-explored Semantic Map for Object Navigation
by: Ko, Po-Chen, et al.
Published: (2024)

Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
by: Zhou, Fei, et al.
Published: (2024)

VLN-NF: Feasibility-Aware Vision-and-Language Navigation with False-Premise Instructions
by: Su, Hung-Ting, et al.
Published: (2026)

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
by: Tong, Jintao, et al.
Published: (2025)

Free Lunch to Meet the Gap: Intermediate Domain Reconstruction for Cross-Domain Few-Shot Learning
by: Zhang, Tong, et al.
Published: (2025)

Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
by: Chen, Dexia, et al.
Published: (2025)

Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
by: Fu, Yuqian, et al.
Published: (2024)

Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection
by: Wang, Wanqi, et al.
Published: (2026)

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation
by: Röder, Manuel, et al.
Published: (2025)

Enhancing the Practical Reliability of Shor's Quantum Algorithm via Generalized Period Decomposition: Theory and Large-Scale Empirical Validation
by: Liao, Chih-Chen, et al.
Published: (2025)

Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
by: Tong, Jintao, et al.
Published: (2025)

HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics
by: Faure, Gueter Josmy, et al.
Published: (2024)

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2026)

Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning
by: Zhang, Zhenyu, et al.
Published: (2026)

How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
by: Zhang, Yiyi, et al.
Published: (2022)

Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant Features
by: Lu, Hsin-Cheng, et al.
Published: (2025)

Query-guided Prototype Evolution Network for Few-Shot Segmentation
by: Cong, Runmin, et al.
Published: (2024)

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
by: Wang, Yilong, et al.
Published: (2024)

Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
by: Topollai, Kristi, et al.
Published: (2025)

Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
by: Hsu, Chia-Yi, et al.
Published: (2024)

Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
by: Jiang, Yongwei, et al.
Published: (2026)

Few-Shot Semantic Segmentation Meets SAM3
by: Tsai, Yi-Jen, et al.
Published: (2026)

MindAdapter: Few-Shot Parameter-Efficient Residual Calibration of Cross-Subject Brain-to-Visual Decoding Models
by: Liu, Jiaxiang, et al.
Published: (2026)