ML p(r)ior | Towards the Design of an End-to-End Automated System for Image and Video-based Recognition

Towards the Design of an End-to-End Automated System for Image and Video-based Recognition

2016-01-28
Over many decades, researchers working in object recognition have longed for an end-to-end automated system that will simply accept 2D or 3D image or videos as inputs and output the labels of objects in the input data. Computer vision methods that use representations derived based on geometric, radiometric and neural considerations and statistical and structural matchers and artificial neural network-based methods where a multi-layer network learns the mapping from inputs to class labels have provided competing approaches for image recognition problems. Over the last four years, methods based on Deep Convolutional Neural Networks (DCNNs) have shown impressive performance improvements on object detection/recognition challenge problems. This has been made possible due to the availability of large annotated data, a better understanding of the non-linear mapping between image and class labels as well as the affordability of GPUs. In this paper, we present a brief history of developments in computer vision and artificial neural networks over the last forty years for the problem of image-based recognition. We then present the design details of a deep learning system for end-to-end unconstrained face verification/recognition. Some open issues regarding DCNNs for object recognition problems are then discussed. We caution the readers that the views expressed in this paper are from the authors and authors only!
PDF

Highlights - Most important sentences from the article

Login to like/save this paper, take notes and configure your recommendations

Related Articles

2017-04-22

Image semantic segmentation is more and more being of interest for computer vision and machine learn… show more
PDF

Highlights - Most important sentences from the article

2018-06-14

Robust recognition of hand gestures in real-world applications is still an unaccomplished goal due t… show more
PDF

Highlights - Most important sentences from the article

2015-11-09
1511.02683 | cs.CV

The volume of convolutional neural network (CNN) models proposed for face recognition has been conti… show more
PDF

Highlights - Most important sentences from the article

2016-11-03

We present a multi-purpose algorithm for simultaneous face detection, face alignment, pose estimatio… show more
PDF

Highlights - Most important sentences from the article

2018-04-23
1804.08348 | cs.CV

With the transition of facial expression recognition (FER) from laboratory-controlled to challenging… show more
PDF

Highlights - Most important sentences from the article

2018-04-18
1804.06655 | cs.CV

Deep learning applies multiple processing layers to learn representations of data with multiple leve… show more
PDF

Highlights - Most important sentences from the article

2018-03-28

Deep learning has allowed a paradigm shift in pattern recognition, from using hand-crafted features … show more
PDF

Highlights - Most important sentences from the article

2017-04-03

Unconstrained face recognition performance evaluations have traditionally focused on Labeled Faces i… show more
PDF

Highlights - Most important sentences from the article

2016-04-19

Despite significant progress made over the past twenty five years, unconstrained face verification r… show more
PDF

Highlights - Most important sentences from the article

2017-10-11

Standing at the paradigm shift towards data-intensive science, machine learning techniques are becom… show more
PDF

Highlights - Most important sentences from the article

2017-02-14

This paper describes the details of Sighthound's fully automated age, gender and emotion recognition… show more
PDF

Highlights - Most important sentences from the article

2014-11-28

Pushing by big data and deep convolutional neural network (CNN), the performance of face recognition… show more
PDF

Highlights - Most important sentences from the article

2019-02-01

This work proposes a new neural network feature representation that help to leave out sensitive info… show more
PDF

Highlights - Most important sentences from the article

2019-02-08

We present a new end-to-end network architecture for facial expression recognition with an attention… show more
PDF

Highlights - Most important sentences from the article

2017-11-16
1711.05942 | cs.CV

Deep networks trained on millions of facial images are believed to be closely approaching human-leve… show more
PDF

Highlights - Most important sentences from the article