Object Classification using Ensemble of Local and Deep Features

12/04/2017
by   Siddharth Srivastava, et al.
0

In this paper we propose an ensemble of local and deep features for object classification. We also compare and contrast effectiveness of feature representation capability of various layers of convolutional neural network. We demonstrate with extensive experiments for object classification that the representation capability of features from deep networks can be complemented with information captured from local features. We also find out that features from various deep convolutional networks encode distinctive characteristic information. We establish that, as opposed to conventional practice, intermediate layers of deep networks can augment the classification capabilities of features obtained from fully connected layers.

READ FULL TEXT

page 3

page 5

research
09/25/2015

Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection

In this paper, we evaluate convolutional neural network (CNN) features u...
research
06/08/2015

SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet

Deep learning with a convolutional neural network (CNN) has been proved ...
research
06/09/2015

Inverting Visual Representations with Convolutional Networks

Feature representations, both hand-designed and learned ones, are often ...
research
07/04/2023

DeepFlorist: Rethinking Deep Neural Networks and Ensemble Learning as A Meta-Classifier For Object Classification

In this paper, we propose a novel learning paradigm called "DeepFlorist"...
research
02/12/2019

Manifestation of Image Contrast in Deep Networks

Contrast is subject to dramatic changes across the visual field, dependi...
research
12/01/2020

Problems of representation of electrocardiograms in convolutional neural networks

Using electrocardiograms as an example, we demonstrate the characteristi...
research
04/09/2021

CondenseNet V2: Sparse Feature Reactivation for Deep Networks

Reusing features in deep networks through dense connectivity is an effec...

Please sign up or login with your details

Forgot password? Click here to reset