:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Tong, Kobayashi, Takumi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2501.14593
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Evidential Learning for Few-Shot Classification
by: Linghu, Xiongkun, et al.
Published: (2022)

Improving Fungi Prototype Representations for Few-Shot Classification
by: Traore, Abdarahmane, et al.
Published: (2025)

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
by: Zou, Yixiong, et al.
Published: (2024)

Few-Shot Segmentation with Global and Local Contrastive Learning
by: Liu, Weide, et al.
Published: (2021)

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

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

SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance
by: Xiao, Yuru, et al.
Published: (2024)

SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization
by: Younes, Mae, et al.
Published: (2024)

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization
by: Tong, Baoshun, et al.
Published: (2024)

Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
by: Lin, Yuxuan, et al.
Published: (2025)

Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning
by: Chen, Dexia, et al.
Published: (2025)

A Feature Generator for Few-Shot Learning
by: Kanagalingam, Heethanjan, et al.
Published: (2024)

Simple Semantic-Aided Few-Shot Learning
by: Zhang, Hai, et al.
Published: (2023)

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
by: Zhu, Mingli, et al.
Published: (2024)

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

Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
by: Ming, Yu, et al.
Published: (2024)

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

Singular Value Fine-tuning for Few-Shot Class-Incremental Learning
by: Wang, Zhiwu, et al.
Published: (2025)

Few-Shot Continual Learning for Activity Recognition in Classroom Surveillance Images
by: Qian, Yilei, et al.
Published: (2024)

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2026)

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

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

Logits DeConfusion with CLIP for Few-Shot Learning
by: Li, Shuo, et al.
Published: (2025)

Stochastic-based Patch Filtering for Few-Shot Learning
by: Rodenas, Javier, et al.
Published: (2025)

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

Exploring Cross-Modal Flows for Few-Shot Learning
by: Jiang, Ziqi, et al.
Published: (2025)

Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024)

MyriadAL: Active Few Shot Learning for Histopathology
by: Schiavone, Nico, et al.
Published: (2023)

Prototype Optimization with Neural ODE for Few-Shot Learning
by: Zhang, Baoquan, et al.
Published: (2024)

IPNET:Influential Prototypical Networks for Few Shot Learning
by: Chowdhury, Ranjana Roy, et al.
Published: (2022)

Predicate Hierarchies Improve Few-Shot State Classification
by: Jin, Emily, et al.
Published: (2025)

Few-Shot Learning with Class Imbalance
by: Ochal, Mateusz, et al.
Published: (2021)

Aspect-Based Few-Shot Learning
by: van Engeland, Tim, et al.
Published: (2024)

Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis
by: Zhao, Chen, et al.
Published: (2024)

Few-Shot Object Detection: Research Advances and Challenges
by: Xin, Zhimeng, et al.
Published: (2024)

PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learning
by: Wu, Jiaying, et al.
Published: (2026)

Provably Improving Generalization of Few-Shot Models with Synthetic Data
by: Nguyen, Lan-Cuong, et al.
Published: (2025)

Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
by: Li, Linhao, et al.
Published: (2025)

Slot Attention-based Feature Filtering for Few-Shot Learning
by: Rodenas, Javier, et al.
Published: (2025)

Rethinking the Good Enough Embedding for Easy Few-Shot Learning
by: Karnes, Michael, et al.
Published: (2026)