About

Algorithms trying to solve the general task of classification.

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Datasets

Greatest papers with code

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

17 Apr 2017tensorflow/tensorflow

We present a class of efficient models called MobileNets for mobile and embedded vision applications.

CLASSIFICATION IMAGE CLASSIFICATION OBJECT DETECTION

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

14 Mar 2016tensorflow/tensorflow

TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.

CLASSIFICATION DIMENSIONALITY REDUCTION

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

CVPR 2020 tensorflow/models

We propose SpineNet, a backbone with scale-permuted intermediate features and cross-scale connections that is learned on an object detection task by Neural Architecture Search.

CLASSIFICATION IMAGE CLASSIFICATION INSTANCE SEGMENTATION NEURAL ARCHITECTURE SEARCH REAL-TIME OBJECT DETECTION

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

CVPR 2018 tensorflow/models

The rising popularity of intelligent mobile devices and the daunting computational cost of deep learning-based models call for efficient and accurate on-device inference schemes.

CLASSIFICATION QUANTIZATION

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

11 Feb 2015tensorflow/models

Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change.

CLASSIFICATION IMAGE CLASSIFICATION

Classification of crystallization outcomes using deep convolutional neural networks

27 Mar 2018tensorflow/models

The Machine Recognition of Crystallization Outcomes (MARCO) initiative has assembled roughly half a million annotated images of macromolecular crystallization experiments from various sources and setups.

CLASSIFICATION

Progressive Neural Architecture Search

ECCV 2018 tensorflow/models

We propose a new method for learning the structure of convolutional neural networks (CNNs) that is more efficient than recent state-of-the-art methods based on reinforcement learning and evolutionary algorithms.

CLASSIFICATION IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH

Categorical Reparameterization with Gumbel-Softmax

3 Nov 2016tensorflow/models

Categorical variables are a natural choice for representing discrete structure in the world.

CLASSIFICATION

Adversarial Training Methods for Semi-Supervised Text Classification

25 May 2016tensorflow/models

Adversarial training provides a means of regularizing supervised learning algorithms while virtual adversarial training is able to extend supervised learning algorithms to the semi-supervised setting.

CLASSIFICATION SEMI SUPERVISED TEXT CLASSIFICATION SEMI-SUPERVISED TEXT CLASSIFICATION SENTIMENT ANALYSIS WORD EMBEDDINGS

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

23 Feb 2016tensorflow/models

Recently, the introduction of residual connections in conjunction with a more traditional architecture has yielded state-of-the-art performance in the 2015 ILSVRC challenge; its performance was similar to the latest generation Inception-v3 network.

CLASSIFICATION IMAGE CLASSIFICATION