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diffGrad: An Optimization Method for Convolutional Neural Networks

12 Sep 2019jettify/pytorch-optimizer

In this paper, a novel optimizer is proposed based on the difference between the present and the immediate past gradient (i. e., diffGrad).

IMAGE CATEGORIZATION

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

11 Feb 2020dongliangchang/Mutual-Channel-Loss

The proposed loss function, termed as mutual-channel loss (MC-Loss), consists of two channel-specific components: a discriminality component and a diversity component.

CLASSIFICATION FINE-GRAINED IMAGE CLASSIFICATION IMAGE CATEGORIZATION

KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications

11 Apr 2018ISTAustria-CVML/KSconf

Computer vision systems for automatic image categorization have become accurate and reliable enough that they can run continuously for days or even years as components of real-world commercial applications.

IMAGE CATEGORIZATION