Results 11 to 20 of about 2,629 (200)
A-CRNN: A Domain Adaptation Model for Sound Event Detection [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 This paper presents a domain adaptation model for sound event detection. A common challenge for sound event detection is how to deal with the mismatch among different datasets. Typically, the performance of a model will decrease if it is tested on a dataset which is different from the one that the model is trained on.
Wei Wei 0037 +3 more
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A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN [PDF]
Sensors, 2021 Handwriting recognition refers to recognizing a handwritten input that includes character(s) or digit(s) based on an image. Because most applications of handwriting recognition in real life contain sequential text in various languages, there is a need to
Ahmed AL-Saffar +4 more
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CRNN: Integrating classification rules into neural network
The 2013 International Joint Conference on Neural Networks (IJCNN), 2013 Association classification has been an important type of the rule-based classification. A variety of approaches have been proposed to build a classifier based on classification rules. In the prediction stage of the extant approaches, most of the existing association classifiers use the ensemble quality measurement of each rule in a subset of rules to ...
Wei Li 0117 +4 more
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CRNN: A Joint Neural Network for Redundancy Detection [PDF]
SSRN Electronic Journal, 2016 Conference paper accepted at IEEE SMARTCOMP 2017, Hong ...
Xinyu Fu 0001 +3 more
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A CRNN‐based method for Chinese ship license plate recognition
IET Image ProcessingExisting deep learning methods cannot achieve satisfactory ship license plate (SLP) recognition due to the harsh marine environment, such as foggy weather, unstable ship state and small targets.
Fan Xu +4 more
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Pill Box Text Identification Using DBNet-CRNN
International Journal of Environmental Research and Public Health, 2023 The recognition process of natural scenes is complicated at present, and images themselves may be complex owing to the special features of natural scenes. In this study, we use the detection and recognition of pill box text as an application scenario and design a deep-learning-based text detection algorithm for such natural scenes. We propose an end-to-
Liuqing Xiang, Hanyun Wen, Ming Zhao
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PLoS ONECutaneous squamous cell carcinoma (cSCC) is the second most common non-melanoma skin cancer that has been on the rise in recent times, particularly among older individuals.
Changji Li +6 more
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Driver Facial Expression Analysis Using LFA-CRNN-Based Feature Extraction for Health-Risk Decisions
Applied Sciences, 2020 As people communicate with each other, they use gestures and facial expressions as a means to convey and understand emotional state. Non-verbal means of communication are essential to understanding, based on external clues to a person’s emotional state ...
Chang-Min Kim +3 more
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Text Recognition Model Based on Multi-Scale Fusion CRNN
Sensors, 2023 Scene text recognition is a crucial area of research in computer vision. However, current mainstream scene text recognition models suffer from incomplete feature extraction due to the small downsampling scale used to extract features and obtain more features.
Le Zou +6 more
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Multichannel source counting with CRNN : analysis of the performance
, 2020 In this work we focus on the problem of estimating the number of concurrent speaker in an audio recording. This information is often a prerequisite in several audio processing tasks such as speaker separation, localization and tracking. In a previous work, we proposed to tackle this problem by using a convolutional recuurrent neural network (CRNN) with
Grumiaux, Pierre-Amaury +3 more
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