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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
TorchXRayVision: A library of chest X-ray datasets and modelsCode2
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small dataCode2
Generative Latent Implicit Conditional Optimization when Learning from Small SampleCode1
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object DetectionCode1
Ensemble long short-term memory (EnLSTM) networkCode1
Analysis of Social Media Data using Multimodal Deep Learning for Disaster ResponseCode1
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep LearningCode1
ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingCode1
Parametric Scattering NetworksCode1
Rigid-Soft Interactive Learning for Robust GraspingCode1
Unbiased Mean Teacher for Cross-domain Object DetectionCode1
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial LocationCode1
Tune It or Don't Use It: Benchmarking Data-Efficient Image ClassificationCode1
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers diseaseCode1
DeepMoD: Deep learning for Model Discovery in noisy dataCode1
Finding Covid-19 from Chest X-rays using Deep Learning on a Small DatasetCode1
Image Classification With Small Datasets: Overview and BenchmarkCode1
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASRCode0
An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon DrawingCode0
Harnessing the Power of Infinitely Wide Deep Nets on Small-data TasksCode0
Generative Modeling for Small-Data Object DetectionCode0
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational InferenceCode0
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data AnnotationsCode0
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small DataCode0
Global Autoregressive Models for Data-Efficient Sequence LearningCode0
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