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Improved AOA Algorithm to Optimize Image Entropy for Image Recognition Model
AbstractWith the continuous development of computer vision, the application of image recognition technology is becoming increasingly widespread. An...
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Semantic image representation for image recognition and retrieval using multilayer variational auto-encoder, InceptionNet and low-level image features
This paper presents a novel image descriptor that enhances performance in image recognition and retrieval by combining deep learning and handcrafted...
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Feature integration for frontal gait recognition through contour image analysis
Biometric technology is advancing with gait recognition, which analyzes walking patterns to identify people. This pattern is derived without the...
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Chaotic image encryption based on partial face recognition and DNA diffusion
This paper proposes an innovative image encryption algorithm that leverages partial face recognition and DNA diffusion, building upon advancements in...
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Hybrid CBAM-EfficientNetV2 Fire Image Recognition Method with Label Smoothing in Detecting Tiny Targets
Image fire recognition is of great significance in fire prevention and loss reduction through early fire detection and warning. Aiming at the...
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Image encryption algorithm based on face recognition, facial features recognition and bitonic sequence
Traditional scrambling algorithms frequently rely on static and fixed scrambling modes, which lack the involvement of chaotic sequences during the...
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Multimodal fine-grained grocery product recognition using image and OCR text
Automatic recognition of grocery products can be used to improve customer flow at checkouts and reduce labor costs and store losses. Product...
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On mask-based image set desensitization with recognition support
In recent years, Deep Neural Networks (DNN) have emerged as a practical method for image recognition. The raw data, which contain sensitive...
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Innovative approaches in image processing: enhancing feature extraction and recognition capabilities
This paper presents novel methods to improve feature extraction and recognition capabilities in handwritten mathematical expression recognition...
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Image Recognition and Analysis: Results of Belarusian Scientists
AbstractThe article describes the results of Belarusian scientists in the field of image recognition and analysis obtained over the last 30 years....
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FRIH: A face recognition framework using image hashing
Face recognition is one of the most important research topics in computer vision. Indeed, the face is an important means of communication with humans...
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I-Nema: a large-scale microscopic image dataset for nematode recognition
Nematode worms are one of the most abundant metazoan groups, occupying diverse ecological niches. Accurate recognition or identification of nematodes...
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Defense against Adversarial Attacks on Image Recognition Systems Using an Autoencoder
AbstractAdversarial attacks on artificial neural network systems for image recognition are considered. To improve the security of image recognition...
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Multimodal fusion for audio-image and video action recognition
Multimodal Human Action Recognition (MHAR) is an important research topic in computer vision and event recognition fields. In this work, we address...
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mXception and dynamic image for hand gesture recognition
Gesture detection has recently attracted a lot of attention due to its wide range of applications, notably in human–computer interaction (HCI)....
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Ts-vit: feature-enhanced transformer via token selection for fine-grained image recognition
Fine-grained image recognition is a challenging task that focuses on identifying images from similar subordinate categories. Recently, methods based...
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EdgeNet: a low-power image recognition model based on small sample information
Existing deep convolutional neural networks that rely on large datasets typically require images with high resolution and deep neural network models...
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Concept-guided multi-level attention network for image emotion recognition
Image emotion recognition aims to predict people’s emotional response toward visual stimuli. Recently, emotional region discovery has become hot...
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Oracle character recognition using universal inverted bottleneck and inverse image frequency
The oracle bone script, one of the most well-known ancient writing systems, plays a key role in the study of ancient Chinese characters. To speed up...
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Computer Vision, Pattern Recognition, Image Processing, and Graphics Proceedings of the 8th National Conference, NCVPRIPG 2023
This book constitutes the refereed proceedings of the 8th National Conference on Computer Vision, Pattern Recognition, Image Processing, and...
