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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 1–50 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
Tune It or Don't Use It: Benchmarking Data-Efficient Image ClassificationCode1
Generative Latent Implicit Conditional Optimization when Learning from Small SampleCode1
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers diseaseCode1
Rigid-Soft Interactive Learning for Robust GraspingCode1
Unbiased Mean Teacher for Cross-domain Object DetectionCode1
ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingCode1
Analysis of Social Media Data using Multimodal Deep Learning for Disaster ResponseCode1
Parametric Scattering NetworksCode1
Finding Covid-19 from Chest X-rays using Deep Learning on a Small DatasetCode1
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial LocationCode1
Image Classification With Small Datasets: Overview and BenchmarkCode1
Ensemble long short-term memory (EnLSTM) networkCode1
DeepMoD: Deep learning for Model Discovery in noisy dataCode1
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep LearningCode1
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object DetectionCode1
Annotation of a Large Clinical Entity Corpus—0
A database for face presentation attack using wax figure faces—0
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs—0
An Improved Deep Learning Architecture for Person Re-Identification—0
A Named Entity Recognition Shootout for German—0
Adaptive Name Entity Recognition under Highly Unbalanced Data—0
Evaluating the Consistency of Word Embeddings from Small Data—0
Bayesian inverse regression for dimension reduction with small datasets—0
Bayesian Learning for Neural Dependency Parsing—0
Better Classifier Calibration for Small Data Sets—0
Better Multi-class Probability Estimates for Small Data Sets—0
Beyond Fine Tuning: A Modular Approach to Learning on Small Data—0
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning—0
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition—0
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator—0
DragonPaint: Rule based bootstrapping for small data with an application to cartoon coloring—0
A Close Look at Deep Learning with Small Data—0
Effect of Activation Functions on the Training of Overparametrized Neural Nets—0
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models—0
A simple efficient density estimator that enables fast systematic search—0
Compact Representation of Uncertainty in Clustering—0
Analysis of PCA Algorithms in Distributed Environments—0
Do we still need fuzzy classifiers for Small Data in the Era of Big Data?—0
Automated detection of oral pre-cancerous tongue lesions using deep learning for early diagnosis of oral cavity cancer—0
Competing Models—0
Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization—0
Credal Model Averaging for classification: representing prior ignorance and expert opinions—0
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense—0
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation—0
Deep Kernel Learning via Random Fourier Features—0
Active Image Synthesis for Efficient Labeling—0
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets—0
CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing—0
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