Image de couverture de livre

Adaptive Attention Distillation for Robust Few-Shot Segmentation under Environmental Perturbations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Guo, Qianyu, Wu, Jingrong, Ren, Jieji, Ge, Weifeng, Zhang, Wenqiang
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
par: Guo, Qianyu, et autres
Publié: (2025)

Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
par: Wang, Jin, et autres
Publié: (2024)

Few-Shot Medical Image Segmentation with Large Kernel Attention
par: Wu, Xiaoxiao, et autres
Publié: (2024)

Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation
par: Wang, Jin, et autres
Publié: (2025)

Learning Robust Correlation with Foundation Model for Weakly-Supervised Few-Shot Segmentation
par: Huang, Xinyang, et autres
Publié: (2024)

DistillFSS: Synthesizing Few-Shot Knowledge into a Lightweight Segmentation Model
par: De Marinis, Pasquale, et autres
Publié: (2025)

Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
par: Thrainer, Christina, et autres
Publié: (2025)

Boosting Few-Shot Segmentation via Instance-Aware Data Augmentation and Local Consensus Guided Cross Attention
par: Guo, Li, et autres
Publié: (2024)

Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments
par: Yu, Jiawen, et autres
Publié: (2025)

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
par: Wang, Jing, et autres
Publié: (2023)

Dual Distillation for Few-Shot Anomaly Detection
par: Dong, Le, et autres
Publié: (2026)

Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation
par: Carrión-Ojeda, Dustin, et autres
Publié: (2025)

CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning
par: Bao, Kexin, et autres
Publié: (2026)

Object-level Correlation for Few-Shot Segmentation
par: Wen, Chunlin, et autres
Publié: (2025)

Hybrid Mamba for Few-Shot Segmentation
par: Xu, Qianxiong, et autres
Publié: (2024)

Few-Shot Segmentation with Global and Local Contrastive Learning
par: Liu, Weide, et autres
Publié: (2021)

Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
par: Lin, Yuxuan, et autres
Publié: (2025)

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning
par: Lai, Jinxiang, et autres
Publié: (2023)

CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
par: Xiao, Aoran, et autres
Publié: (2024)

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
par: Liu, Chenxi, et autres
Publié: (2024)

AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
par: Ma, Jiaqi, et autres
Publié: (2024)

Prototype Learning-Based Few-Shot Segmentation for Low-Light Crack on Concrete Structures
par: Guo, Yulun
Publié: (2026)

Multi-Text Guided Few-Shot Semantic Segmentation
par: Jiao, Qiang, et autres
Publié: (2025)

SAM-Aug: Leveraging SAM Priors for Few-Shot Parcel Segmentation in Satellite Time Series
par: Hu, Kai, et autres
Publié: (2026)

Inter- and Intra-image Refinement for Few Shot Segmentation
par: Fu, Ourui, et autres
Publié: (2025)

DIS2: Disentanglement Meets Distillation with Classwise Attention for Robust Remote Sensing Segmentation under Missing Modalities
par: Kieu, Nhi, et autres
Publié: (2026)

Eliminating Feature Ambiguity for Few-Shot Segmentation
par: Xu, Qianxiong, et autres
Publié: (2024)

Reading Relevant Feature from Global Representation Memory for Visual Object Tracking
par: Zhou, Xinyu, et autres
Publié: (2024)

DFR: A Decompose-Fuse-Reconstruct Framework for Multi-Modal Few-Shot Segmentation
par: Chen, Shuai, et autres
Publié: (2025)

Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
par: Wang, Jin, et autres
Publié: (2025)

Fine-Grained Prototypes Distillation for Few-Shot Object Detection
par: Wang, Zichen, et autres
Publié: (2024)

AGENet: Adaptive Edge-aware Geodesic Distance Learning for Few-Shot Medical Image Segmentation
par: Gao, Ziyuan
Publié: (2025)

Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
par: Ming, Yu, et autres
Publié: (2024)

Query-guided Prototype Evolution Network for Few-Shot Segmentation
par: Cong, Runmin, et autres
Publié: (2024)

Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
par: Li, Jinglun, et autres
Publié: (2024)

DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
par: Zhou, Xinyu, et autres
Publié: (2025)

Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion
par: Zheng, Meng, et autres
Publié: (2024)

Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
par: Cong, Runmin, et autres
Publié: (2025)

Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
par: Chi, Hanyang, et autres
Publié: (2024)

GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
par: Xu, Rui, et autres
Publié: (2022)