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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 305 papers

TitleStatusHype
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing—0
High-dimensional separability for one- and few-shot learning—0
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis—0
Inverting The Generator Of A Generative Adversarial Network—0
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing—0
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models—0
Experimentally realized memristive memory augmented neural network—0
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification—0
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning—0
Automatic detection of rare pathologies in fundus photographs using few-shot learning—0
Face Verification and Forgery Detection for Ophthalmic Surgery Images—0
Fast Adaptation in Generative Models with Generative Matching Networks—0
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching—0
Federated One-Shot Learning with Data Privacy and Objective-Hiding—0
Dynamic Spectrum Matching with One-shot Learning—0
Can Humans Do Less-Than-One-Shot Learning?—0
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters—0
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques—0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI—0
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
Generative Adversarial Residual Pairwise Networks for One Shot Learning—0
Generative One-Shot Face Recognition—0
Distributional Modeling on a Diet: One-shot Word Learning from Text Only—0
Distilled One-Shot Federated Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified