Cover Image

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Suhyun, Park, Jungwon, Lee, Wonseok, Rhee, Wonjong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
by: Kim, Wonkyun, et al.
Published: (2024)

Towards a Better Evaluation of Out-of-Domain Generalization
by: Hwang, Duhun, et al.
Published: (2024)

Selective Aggregation of Attention Maps Improves Diffusion-Based Visual Interpretation
by: Park, Jungwon, et al.
Published: (2026)

Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
by: Kim, Jaeill, et al.
Published: (2024)

Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models
by: Park, Jungwon, et al.
Published: (2024)

Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering
by: Choi, Changin, et al.
Published: (2025)

Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
by: Paeedeh, Naeem, et al.
Published: (2025)

LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
by: Ravichandran, Bharadwaj, et al.
Published: (2024)

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

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
by: Paeedeh, Naeem, et al.
Published: (2026)

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

Orthogonal Negative Guidance in Attention Feature Space for Text-to-Image Generation
by: Ko, Jungmin, et al.
Published: (2026)

Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization
by: Kim, Jimyeong, et al.
Published: (2024)

Transferability-Guided Cross-Domain Cross-Task Transfer Learning
by: Tan, Yang, et al.
Published: (2022)

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
by: Kim, Soopil, et al.
Published: (2023)

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
by: Brouwer, Eric, et al.
Published: (2024)

SeMoBridge: Semantic Modality Bridge for Efficient Few-Shot Adaptation of CLIP
by: Timmermann, Christoph, et al.
Published: (2025)

Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
by: Dai, Jiaxin, et al.
Published: (2025)

Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
by: Paramonov, Kirill, et al.
Published: (2025)

One-Shot Domain Incremental Learning
by: Esaki, Yasushi, et al.
Published: (2024)

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
by: Bai, Yichen, et al.
Published: (2023)

JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA
by: Kang, Hyunju, et al.
Published: (2026)

Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings
by: Tsoumplekas, Georgios, et al.
Published: (2024)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)

Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
by: Salazar-Ruiz, Carlos, et al.
Published: (2025)

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations
by: Kim, Minung, et al.
Published: (2025)

1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization
by: Bai, Yunwei, et al.
Published: (2026)

FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
by: Bai, Yunwei, et al.
Published: (2024)

Efficient Few-Shot Learning in Remote Sensing: Fusing Vision and Vision-Language Models
by: Chua, Jia Yun, et al.
Published: (2025)

Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging
by: Woerner, Stefano, et al.
Published: (2024)

Towards Cross-Domain Continual Learning
by: de Carvalho, Marcus, et al.
Published: (2024)

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
by: Li, Jiashuo, et al.
Published: (2024)

Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
by: Viti, Bruno, et al.
Published: (2024)

Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
by: Khan, Mohammed Abdul Hafeez, et al.
Published: (2025)

Informative Rays Selection for Few-Shot Neural Radiance Fields
by: Orsingher, Marco, et al.
Published: (2023)

Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
by: Zhai, Guangyao, et al.
Published: (2025)

TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation
by: Pan, Chuer, et al.
Published: (2022)

Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
by: Mohammad, Mohammed Rahman Sherif Khan, et al.
Published: (2026)

Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
by: Kim, Jaeill, et al.
Published: (2024)