Browse SoTA > Computer Vision > Image Classification > Small Data Image Classification

Small Data Image Classification

41 papers with code · Computer Vision

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

Benchmarks

Greatest papers with code

Learning What and Where to Transfer

15 May 2019jindongwang/transferlearning

To address the issue, we propose a novel transfer learning approach based on meta-learning that can automatically learn what knowledge to transfer from the source network to where in the target network.

META-LEARNING SMALL DATA IMAGE CLASSIFICATION TRANSFER LEARNING

Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data

11 Apr 2020ieee8023/covid-chestxray-dataset

The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community.

SMALL DATA IMAGE CLASSIFICATION TRANSFER LEARNING

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

21 Nov 2018pfjaeger/medicaldetectiontoolkit

The proposed architecture recaptures discarded supervision signals by complementing object detection with an auxiliary task in the form of semantic segmentation without introducing the additional complexity of previously proposed two-stage detectors.

MEDICAL OBJECT DETECTION SEMANTIC SEGMENTATION SMALL DATA IMAGE CLASSIFICATION

Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR

29 May 2019fgnt/pb_chime5

In this paper, we present Hitachi and Paderborn University's joint effort for automatic speech recognition (ASR) in a dinner party scenario.

SMALL DATA IMAGE CLASSIFICATION SPEECH ENHANCEMENT SPEECH RECOGNITION

Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations

2 Aug 2017maziarraissi/HPM

While there is currently a lot of enthusiasm about "big data", useful data is usually "small" and expensive to acquire.

GAUSSIAN PROCESSES SMALL DATA IMAGE CLASSIFICATION

SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery

12 Nov 2019DSPsleeporg/smiles-transformer

Inspired by Transformer and pre-trained language models from natural language processing, SMILES Transformer learns molecular fingerprints through unsupervised pre-training of the sequence-to-sequence language model using a huge corpus of SMILES, a text representation system for molecules.

DRUG DISCOVERY LANGUAGE MODELLING SMALL DATA IMAGE CLASSIFICATION UNSUPERVISED PRE-TRAINING

SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines

15 May 2018Noahs-ARK/soft_patterns

Recurrent and convolutional neural networks comprise two distinct families of models that have proven to be useful for encoding natural language utterances.

REPRESENTATION LEARNING SMALL DATA IMAGE CLASSIFICATION TEXT CLASSIFICATION