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A review of object detection based on deep learning
With the rapid development of deep learning techniques, deep convolutional neural
networks (DCNNs) have become more important for object detection. Compared with …
networks (DCNNs) have become more important for object detection. Compared with …
Recent advances in deep learning for object detection
Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …
been widely studied in the past decades. Visual object detection aims to find objects of …
What you feel, is what you like influence of message appeals on customer engagement on Instagram
Visual-based social media are growing exponentially and have become an integrated part
of the customer engagement strategy of many brands. Prior work points to the textual …
of the customer engagement strategy of many brands. Prior work points to the textual …
A comprehensive and systematic look up into deep learning based object detection techniques: A review
Object detection can be regarded as one of the most fundamental and challenging visual
recognition task in computer vision and it has received great attention over the past few …
recognition task in computer vision and it has received great attention over the past few …
[HTML][HTML] A robust framework for object detection in a traffic surveillance system
Object recognition is the technique of specifying the location of various objects in images or
videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast …
videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast …
Logodet-3k: A large-scale image dataset for logo detection
Logo detection has been gaining considerable attention because of its wide range of
applications in the multimedia field, such as copyright infringement detection, brand visibility …
applications in the multimedia field, such as copyright infringement detection, brand visibility …
Deep learning for logo detection: A survey
Logo detection has gradually become a research hotspot in the field of computer vision and
multimedia for its various applications, such as social media monitoring, intelligent …
multimedia for its various applications, such as social media monitoring, intelligent …
Deep learning logo detection with data expansion by synthesising context
Logo detection in unconstrained images is challenging, particularly when only very sparse
labelled training images are accessible due to high labelling costs. In this work, we describe …
labelled training images are accessible due to high labelling costs. In this work, we describe …
Training object detection and recognition CNN models using data augmentation
Recent progress in deep learning methods has shown that key steps in object detection and
recognition, including feature extraction, region proposals, and classification, can be done …
recognition, including feature extraction, region proposals, and classification, can be done …
Dual-modal information bottleneck network for seizure detection
In recent years, deep learning has shown very competitive performance in seizure detection.
However, most of the currently used methods either convert electroencephalogram (EEG) …
However, most of the currently used methods either convert electroencephalogram (EEG) …