Search Results

Classification of crystallization outcomes using deep convolutional neural networks

2 code implementations27 Mar 2018

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.

BIG-bench Machine Learning Classification +1

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

4 code implementations HLT 2015

Convolutional neural network (CNN) is a neural network that can make use of the internal structure of data such as the 2D structure of image data.

General Classification Sentiment Analysis

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

133 code implementations ICML 2019

Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available.

Action Recognition Domain Generalization +4

PP-LCNet: A Lightweight CPU Convolutional Neural Network

8 code implementations17 Sep 2021

We propose a lightweight CPU network based on the MKLDNN acceleration strategy, named PP-LCNet, which improves the performance of lightweight models on multiple tasks.

Image Classification object-detection +2

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

9 code implementations NeurIPS 2018

We also propose a parametric gather-excite operator pair which yields further performance gains, relate it to the recently-introduced Squeeze-and-Excitation Networks, and analyse the effects of these changes to the CNN feature activation statistics.

An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks

1 code implementation20 Feb 2021

Then, we extensively evaluate three classes of Edge TPUs, covering different computing ecosystems, that are either currently deployed in Google products or are the product pipeline, across 423K unique convolutional neural networks.

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

12 code implementations CVPR 2020

By dissecting the channel attention module in SENet, we empirically show avoiding dimensionality reduction is important for learning channel attention, and appropriate cross-channel interaction can preserve performance while significantly decreasing model complexity.

Dimensionality Reduction Image Classification +4

Bag of Tricks for Image Classification with Convolutional Neural Networks

26 code implementations CVPR 2019

Much of the recent progress made in image classification research can be credited to training procedure refinements, such as changes in data augmentations and optimization methods.

Domain Generalization General Classification +4

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

3 code implementations CVPR 2019

In this paper, we analyze this norm-based criterion and point out that its effectiveness depends on two requirements that are not always met: (1) the norm deviation of the filters should be large; (2) the minimum norm of the filters should be small.

Image Classification