:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhaolong, Sun, Tongfeng, Du, Mingzheng, Huang, Yachao
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2507.21786
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Text Guided Few-Shot Semantic Segmentation
by: Jiao, Qiang, et al.
Published: (2025)

MAGIC: Map-Guided Few-Shot Audio-Visual Acoustics Modeling
by: Huang, Diwei, et al.
Published: (2024)

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
by: Jiang, Yuxin, et al.
Published: (2025)

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

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

Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition
by: Guo, Hanyu, et al.
Published: (2024)

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

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

Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
by: Jia, Yuyu, et al.
Published: (2024)

Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning
by: Maji, Souvik, et al.
Published: (2025)

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

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

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

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization
by: Bie, Yequan, et al.
Published: (2024)

Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
by: Chen, Ruoyu, et al.
Published: (2025)

Few-Shot Object Detection with Sparse Context Transformers
by: Mei, Jie, et al.
Published: (2024)

Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation
by: Li, Jiahao, et al.
Published: (2026)

Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
by: Ueno, Shiryu, et al.
Published: (2025)

Few-Shot Generalized Category Discovery With Retrieval-Guided Decision Boundary Enhancement
by: Ren, Yunhan, et al.
Published: (2025)

Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition
by: Qian, Zefeng, et al.
Published: (2025)

Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
by: Kumar, Pulkit, et al.
Published: (2025)

APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
by: He, Weizhao, et al.
Published: (2024)

Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning
by: Tang, Hao, et al.
Published: (2024)

Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning
by: Yan, Cilin, et al.
Published: (2024)

ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models
by: Sural, Shounak, et al.
Published: (2024)

STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition
by: Liu, Hongli, et al.
Published: (2026)

Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
by: Chen, Cheng, et al.
Published: (2025)

DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection
by: Gare, Gautam Rajendrakumar, et al.
Published: (2026)

Prototype-Driven Adaptation for Few-Shot Object Detection
by: Huang, Yushen, et al.
Published: (2025)

Topology-Aware CLIP Few-Shot Learning
by: Huang, Dazhi
Published: (2025)

Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework
by: Yang, Zhengwei, et al.
Published: (2024)

MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification
by: Xu, Jiahao, et al.
Published: (2026)

Less is More: A Closer Look at Semantic-based Few-Shot Learning
by: Zhou, Chunpeng, et al.
Published: (2024)

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning
by: Huang, Chaoqin, et al.
Published: (2024)

Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning
by: Lyu, Fan, et al.
Published: (2025)

Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation
by: Wang, Jin, et al.
Published: (2025)

Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology
by: Tomar, Devavrat, et al.
Published: (2025)

MOVE: Motion-Guided Few-Shot Video Object Segmentation
by: Ying, Kaining, et al.
Published: (2025)

Multiplane Prior Guided Few-Shot Aerial Scene Rendering
by: Gao, Zihan, et al.
Published: (2024)

Semantically Guided Dynamic Visual Prototype Refinement for Compositional Zero-Shot Learning
by: Peng, Zhong, et al.
Published: (2025)