Papers with Code 아카이브
Cross-Domain Few-Shot
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 9
- 보존된 평가 기록
- 76
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning
Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
Enhancing Masked Time-Series Modeling via Dropping Patches
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
Towards Cross-domain Few-shot Graph Anomaly Detection
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.