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

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Showing 101–150 of 305 papers

TitleStatusHype
Meta-Meta Classification for One-Shot LearningCode0
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
Deep Triplet Ranking Networks for One-Shot RecognitionCode0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual RecognitionCode0
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution PredictionCode0
Active Use of Latent Constituency Representation in both Humans and Large Language ModelsCode0
What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detectionCode0
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
DART: Distribution Aware Retinal Transform for Event-based Cameras—0
Latent Attention For If-Then Program Synthesis—0
Assessing Shape Bias Property of Convolutional Neural Networks—0
A Hippocampus Model for Online One-Shot Storage of Pattern Sequences—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks—0
Investigation of using disentangled and interpretable representations with language conditioning for cross-lingual voice conversion—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
ARTiS: Appearance-based Action Recognition in Task Space for Real-Time Human-Robot Collaboration—0
Inverting The Generator Of A Generative Adversarial Network—0
Learning feed-forward one-shot learners—0
Learning from limited datasets: Implications for Natural Language Generation and Human-Robot Interaction—0
Interactive Instance Annotation with Siamese Networks—0
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input—0
AROS: Affordance Recognition with One-Shot Human Stances—0
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining—0
Improving One-Shot Learning through Fusing Side Information—0
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis—0
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement—0
High-dimensional separability for one- and few-shot learning—0
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing—0
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries—0
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing—0
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification—0
Continual One-Shot Learning of Hidden Spike-Patterns with Neural Network Simulation Expansion and STDP Convergence Predictions—0
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI—0
HalalNet: A Deep Neural Network that Classifies the Halalness Slaughtered Chicken from their Images—0
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks—0
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code—0
Compositional Embeddings: Joint Perception and Comparison of Class Label Sets—0
GPT Self-Supervision for a Better Data Annotator—0
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision—0
Compositional Embeddings for Multi-Label One-Shot Learning—0
Generative One-Shot Face Recognition—0
Generative Adversarial Residual Pairwise Networks for One Shot Learning—0
Comparison of Maximum Likelihood and GAN-based training of Real NVPs—0
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study—0
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium—0
Adaptive Image Transformer for One-Shot Object Detection—0
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified