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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 51–75 of 179 papers

TitleStatusHype
Bayesian inverse regression for dimension reduction with small datasets—0
Deep semi-supervised segmentation with weight-averaged consistency targets—0
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models—0
Do we still need fuzzy classifiers for Small Data in the Era of Big Data?—0
DragonPaint: Rule based bootstrapping for small data with an application to cartoon coloring—0
Effect of Activation Functions on the Training of Overparametrized Neural Nets—0
Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization—0
Ensemble and Reranking: Using Multiple Models in the NICT-2 Neural Machine Translation System at WAT2017—0
CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing—0
Beyond Fine Tuning: A Modular Approach to Learning on Small Data—0
Evaluating the Consistency of Word Embeddings from Small Data—0
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition—0
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces—0
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets—0
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification—0
HydraMix: Multi-Image Feature Mixing for Small Data Image Classification—0
Identifying Table Structure in Documents using Conditional Generative Adversarial Networks—0
Fully Convolutional Networks for Chip-wise Defect Detection Employing Photoluminescence Images—0
Fully Automatic Segmentation of Sublingual Veins from Retrained U-Net Model for Few Near Infrared Images—0
Bridging CNNs, RNNs, and Weighted Finite-State Machines—0
Generalizable prediction of academic performance from short texts on social media—0
Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation—0
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study—0
How biased are maximum entropy models?—0
Frankenstein: Learning Deep Face Representations using Small Data—0
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