SOTAVerified

One-Shot Learning

One-shot learning is the task of learning information about object categories from a single training example.

( Image credit: Siamese Neural Networks for One-shot Image Recognition )

Papers

Showing 226250 of 305 papers

TitleStatusHype
Brain-inspired Cognition in Next Generation Racetrack Memories0
Can Humans Do Less-Than-One-Shot Learning?0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI0
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study0
Comparison of Maximum Likelihood and GAN-based training of Real NVPs0
Compositional Embeddings for Multi-Label One-Shot Learning0
Compositional Embeddings: Joint Perception and Comparison of Class Label Sets0
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks0
Continual One-Shot Learning of Hidden Spike-Patterns with Neural Network Simulation Expansion and STDP Convergence Predictions0
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries0
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images0
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks0
DART: Distribution Aware Retinal Transform for Event-based Cameras0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition0
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations0
Demystification of Few-shot and One-shot Learning0
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model0
Discovering objects and their relations from entangled scene representations0
Distilled One-Shot Federated Learning0
Distributional Modeling on a Diet: One-shot Word Learning from Text Only0
Dynamic Spectrum Matching with One-shot Learning0
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks0
Experimentally realized memristive memory augmented neural network0
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5Unverified