Copertina

Stochastic-based Patch Filtering for Few-Shot Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rodenas, Javier, Aguilar, Eduardo, Radeva, Petia
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering
di: AlMughrabi, Ahmad, et al.
Pubblicazione: (2024)

Multi-label out-of-distribution detection via evidential learning
di: Aguilar, Eduardo, et al.
Pubblicazione: (2025)

VolETA: One- and Few-shot Food Volume Estimation
di: AlMughrabi, Ahmad, et al.
Pubblicazione: (2024)

DADO: A Depth-Attention framework for Object Discovery
di: Gonzalez, Federico, et al.
Pubblicazione: (2025)

MVSBoost: An Efficient Point Cloud-based 3D Reconstruction
di: Haroon, Umair, et al.
Pubblicazione: (2024)

FoodMem: Near Real-time and Precise Food Video Segmentation
di: AlMughrabi, Ahmad, et al.
Pubblicazione: (2024)

VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction
di: AlMughrabi, Ahmad, et al.
Pubblicazione: (2025)

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

VolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation
di: Haroon, Umair, et al.
Pubblicazione: (2025)

Advancing Image-Based Grapevine Variety Classification with a New Benchmark and Evaluation of Masked Autoencoders
di: Carneiro, Gabriel A., et al.
Pubblicazione: (2025)

Class-relevant Patch Embedding Selection for Few-Shot Image Classification
di: Jiang, Weihao, et al.
Pubblicazione: (2024)

Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning
di: Yan, Bingchen
Pubblicazione: (2024)

Explainable AI model reveals disease-related mechanisms in single-cell RNA-seq data
di: Usman, Mohammad, et al.
Pubblicazione: (2025)

All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction
di: Estepa, Imanol G., et al.
Pubblicazione: (2023)

PerBite: A Curated Diagnostic Workflow for Bite-Aware Food Volume Estimation
di: AlMughrabi, Ahmad, et al.
Pubblicazione: (2026)

Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation
di: Cai, Haonan, et al.
Pubblicazione: (2026)

Advancing Cache-Based Few-Shot Classification via Patch-Driven Relational Gated Graph Attention
di: Ahmad, Tasweer, et al.
Pubblicazione: (2025)

LAND: Lung and Nodule Diffusion for 3D Chest CT Synthesis with Anatomical Guidance
di: Oliveras, Anna, et al.
Pubblicazione: (2025)

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

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

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

Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning
di: Jiang, Weihao, et al.
Pubblicazione: (2024)

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

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images
di: Deshpande, Ajinkya, et al.
Pubblicazione: (2024)

SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning
di: Chen, Zhi, et al.
Pubblicazione: (2025)

Geometric Mean Improves Loss For Few-Shot Learning
di: Wu, Tong, et al.
Pubblicazione: (2025)

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

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

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

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

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

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

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

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

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

AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
di: Damm, Simon, et al.
Pubblicazione: (2024)

Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation
di: Estepa, Imanol G., et al.
Pubblicazione: (2026)

BenchSeg: A Large-Scale Dataset and Benchmark for Multi-View Food Video Segmentation
di: AlMughrabi, Ahmad, et al.
Pubblicazione: (2026)

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