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Image Classification

330 papers with code · Computer Vision

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Optimal Attacks against Multiple Classifiers

ICLR 2019 Juan C. Perdomo et al

The main technical challenge we consider is the design of best response oracles that can be implemented in a Multiplicative Weight Updates framework to find equilibrium strategies in the zero-sum game.

IMAGE CLASSIFICATION

01 May 2019

How Training Data Affect the Accuracy and Robustness of Neural Networks for Image Classification

ICLR 2019 Suhua Lei et al

In light of a recent study on the mutual influence between robustness and accuracy over 18 different ImageNet models, this paper investigates how training data affect the accuracy and robustness of deep neural networks.

IMAGE CLASSIFICATION

01 May 2019

Learning Implicitly Recurrent CNNs Through Parameter Sharing

ICLR 2019 Pedro Savarese et al

Restricting the number of templates yields a flexible hybridization of traditional CNNs and recurrent networks.

IMAGE CLASSIFICATION

01 May 2019

Convolutional Neural Networks combined with Runge-Kutta Methods

ICLR 2019 Mai Zhu et al

A convolutional neural network for image classification can be constructed mathematically since it can be regarded as a multi-period dynamical system.

IMAGE CLASSIFICATION

01 May 2019

signSGD via Zeroth-Order Oracle

ICLR 2019 Sijia Liu et al

Our study shows that ZO signSGD requires $\sqrt{d}$ times more iterations than signSGD, leading to a convergence rate of $O(\sqrt{d}/\sqrt{T})$ under mild conditions, where $d$ is the number of optimization variables, and $T$ is the number of iterations.

IMAGE CLASSIFICATION STOCHASTIC OPTIMIZATION

01 May 2019

Probabilistic Federated Neural Matching

ICLR 2019 Mikhail Yurochkin et al

In federated learning problems, data is scattered across different servers and exchanging or pooling it is often impractical or prohibited.

IMAGE CLASSIFICATION

01 May 2019

Pooling Is Neither Necessary nor Sufficient for Appropriate Deformation Stability in CNNs

ICLR 2019 Avraham Ruderman et al

In this work, we rigorously test these questions, and find that deformation stability in convolutional networks is more nuanced than it first appears: (1) Deformation invariance is not a binary property, but rather that different tasks require different degrees of deformation stability at different layers.

IMAGE CLASSIFICATION

01 May 2019

FAST OBJECT LOCALIZATION VIA SENSITIVITY ANALYSIS

ICLR 2019 Mohammad K. Ebrahimpour et al

We demonstrate that a simple linear mapping can be learned from sensitivity maps to bounding box coordinates, localizing the recognized object.

IMAGE CLASSIFICATION OBJECT LOCALIZATION OBJECT RECOGNITION

01 May 2019

RedSync : Reducing Synchronization Traffic for Distributed Deep Learning

ICLR 2019 Jiarui Fang et al

Data parallelism has become a dominant method to scale Deep Neural Network (DNN) training across multiple nodes.

IMAGE CLASSIFICATION LANGUAGE MODELLING

01 May 2019

HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS

ICLR 2019 Haihao Shen et al

High throughput and low latency inference of deep neural networks are critical for the deployment of deep learning applications.

IMAGE CLASSIFICATION OBJECT DETECTION SEMANTIC SEGMENTATION SUPER RESOLUTION

01 May 2019