Prototypical Network

Few-Shot Learning: The AI that Learns with LessПодробнее

Prototype network achieves seamless all-light mobile communication across air, land and seaПодробнее

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype NetworksПодробнее

Proto-CLIP: Vision-Language Prototypical Network for Few-Shot LearningПодробнее

Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same CoinПодробнее

RSSPN Robust Semi Supervised Prototypical Network for Fault Root Cause Classification in Power DistrПодробнее

Granularity Aware Area Prototypical Network With Bimargin Loss for Few Shot Relation ClassificationПодробнее

Reweighted Regularized Prototypical Network for Few Shot Fault DiagnosisПодробнее

Part 24: Hierarchical attention prototypical networks for few-shot text classificationПодробнее

Pixel-Grounded Prototypical Part NetworksПодробнее

Multiscale Wavelet Prototypical Network for Cross Component Few ShotПодробнее

Part 4: ProtoNER: Fewshot incremental learning for Named Entity Recognition using Prototypical...Подробнее

Bartosz Zieliński - Interpretable Deep Learning with Prototypical Parts | MLSS Kraków 2023Подробнее

An Enhanced Prototypical Network Architecture for Few Shot Handwritten Urdu Character RecognitionПодробнее

Prototypical Contrastive Network for Imbalanced Aerial Image SegmentationПодробнее

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action RecognitionПодробнее

Part 1: siamese prototypical contrastive learningПодробнее

Part11: temporal relation extraction with contrastive prototypical samplingПодробнее

[WACV 2024] Pixel-Grounded Prototypical Part NetworksПодробнее

Few-shot Medical Image Segmentation with Cycle-resemblance AttentionПодробнее