SOTAVerified

Small Data Image Classification

Supervised image classification with tens to hundreds of labeled training examples.

Papers

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Showing 1–25 of 179 papers

TitleStatusHype
HydraMix: Multi-Image Feature Mixing for Small Data Image Classification—0
Image Classification With Small Datasets: Overview and BenchmarkCode1
ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingCode1
TorchXRayVision: A library of chest X-ray datasets and modelsCode2
Tune It or Don't Use It: Benchmarking Data-Efficient Image ClassificationCode1
S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample LearningCode0
Parametric Scattering NetworksCode1
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data AnnotationsCode0
Auxiliary Learning by Implicit DifferentiationCode0
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models—0
PuzzLing Machines: A Challenge on Learning From Small Data—0
Ensemble long short-term memory (EnLSTM) networkCode1
ST^2: Small-data Text Style Transfer via Multi-task Meta-Learning—0
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense—0
Meta-Meta Classification for One-Shot LearningCode0
Analysis of Social Media Data using Multimodal Deep Learning for Disaster ResponseCode1
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small dataCode2
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems—0
Finding Covid-19 from Chest X-rays using Deep Learning on a Small DatasetCode1
Generative Latent Implicit Conditional Optimization when Learning from Small SampleCode1
A Close Look at Deep Learning with Small Data—0
Deep Neural Review Text Interaction for Recommendation Systems—0
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial LocationCode1
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep LearningCode1
Adaptive Name Entity Recognition under Highly Unbalanced Data—0
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