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MKD-YOLO: Multi-Scale and Knowledge-Distilling YOLO for Efficient PPE Compliance Detection

MKD-YOLO: Multi-Scale and Knowledge-Distilling YOLO for Effi...

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Juntao Zan Yang Fang Qilie Liu Uswah Khairuddin Yan Li Kaiwei Sun School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications Chongqing China Malaysia-Japan International Institute of Technology University of Technology Malaysia Kuala Lumpur Malaysia Department of Electrical and Computer Engineering Inha University Incheon South Korea Key Laboratory of Data Engineering and Visual Computing Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

YOLO-based models are widely used for personal protective equipment (PPE) compliance detection due to their excellent detection performance and efficiency. However, most YOLO models are not competent for detection tasks in complex industrial scenarios such as remote surveillance and extremely small targets. In addition, there is a lack of effective model lightweighting and knowledge transfer approaches for industrial deployment. To this end, this paper proposes a Multi-scale and Knowledge-Distilling YOLO (MKD-YOLO) based on YOLOv8n for efficient PPE compliance detection. Specifically, in backbone stage, we design an Efficient Multi-Scale Enhanced Convolution (C2f-EMSEC) module and Large Spatial Pyramid Pooling-Fast (LSPPF) module for multi-scale and global-contextual feature learning as well as reducing model complexity. Then, in neck stage, a refined Bidirectional feature Pyramid Network (BPNet) is designated to capture fine-grained details for extremely small object detection. Moreover, we apply channel-wise knowledge distillation to facilitate model lightweighting and domain-specific knowledge transfer learning. Experiments on our proposed dataset and public datasets show that the proposed MKD-YOLO achieves a new state-of-the-art (SOTA) detection performance and efficiency for practical PPE compliance detection tasks. Codes and the dataset are available at https://***/z1Zjt/MKD-YOLO.

关键词： Personal protective equipment YOLO Representation learning Convolution Surveillance Speech enhancement Feature extraction Neck Kernel Knowledge transfer

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Hardware-Accelerated ZYNQ-NET Convolutional Neural Networks on Virtex-7 FPGA

Hardware-Accelerated ZYNQ-NET Convolutional Neural Networks ...

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2021 International conference on Microelectronics, ICM 2021

作者： El-Maksoud, Ahmed J. Abd Gamal, Amr Hesham, Aya Saied, Gamal Ayman, Mennat-Allah Essam, Omnia Mohamed, Sara M. El Mandouh, Eman Ibrahim, Ziad Mohamed, Sara Mostafa, Hassan Cairo University Faculty of Engineering Electronics and Electrical Communications Department Giza12613 Egypt Mentor Graphics University of Science and Technology Nanotechnology and Nanoelectronics Program Zewail City of Science and Technology October Gardens 6th of October Giza12578 Egypt

ISBN: (纸本)9781665408394

Convolutional neural network is a class of deep neural networks that has made a great breakthrough in image recognition. CNNs are commonly used to detect and classify visual applications so that they are frequently embedded in image classification tasks. The common trend nowadays is to accelerate the processing of CNNs in order to use them in real-time applications such as image classification and object recognition. This paper presents the implementation of ZynqNet CNN architecture on FPGA. The full ZynqNet CNN layers are implemented on FPGA to reach the max acceleration and make full use of all DSP units. Several optimizations techniques are used in different design phases to improve processing speed, utilized area, and power consumption. In addition, the proposed hardware accelerator achieves 15.6 fps for ZynqNet CNN at maximum frequency. The proposed architecture runs at two different frequencies of 100MHz and 125MHz, and is implemented on Virtex-7 FPGA. © 2021 IEEE.

关键词： Field programmable gate arrays (FPGA)

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No-Reference Stereoscopic image Quality Assessment Based on The visual Pathway of Human visual System

No-Reference Stereoscopic Image Quality Assessment Based on ...

引用

IEEE visual communications and image processing (VCIP)

作者： Fan Meng Sumei Li School of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (纸本)9781728173221

With the development of stereoscopic imaging technology, stereoscopic image quality assessment (SIQA) has gradually been more and more important, and how to design a method in line with human visual perception is full of challenges due to the complex relationship between binocular views. In this article, firstly, convolutional neural network (CNN) based on the visual pathway of human visual system (HVS) is built, which simulates different parts of visual pathway such as the optic chiasm, lateral geniculate nucleus (LGN), and visual cortex. Secondly, the two pathways of our method simulate the ‘what’ and ‘where’ visual pathway respectively, which are endowed with different feature extraction capabilities. Finally, we find a different application way for 3D-convolution, employing it fuse the information from left and right view, rather than just extracting temporal features in video. The experimental results show that our proposed method is more in line with subjective score and has good generalization.

关键词： image quality visualization Fuses visual communication Stereo image processing Streaming media Feature extraction

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Scalable Privacy in Multi-Task image Compression

Scalable Privacy in Multi-Task Image Compression

引用

IEEE visual communications and image processing (VCIP)

作者： Saeed Ranjbar Alvar Ivan V. Bajić School of Engineering Science Simon Fraser University Burnaby BC Canada

ISBN: (纸本)9781728173221

Learning-based compression systems have shown great potential for multi-task inference from their latent-space representation of the input image. In such systems, the decoder is supposed to be able to perform various analyses of the input image, such as object detection or segmentation, besides decoding the image. At the same time, privacy concerns around visual ana-lytics have grown in response to the increasing capabilities of such systems to reveal private information. In this paper, we propose a method to make latent-space inference more privacy-friendly using mutual information-based criteria. In particular, we show how organizing and compressing the latent representation of the image according to task-specific mutual information can make the model maintain high analytics accuracy while becoming less able to reconstruct the input image and thereby reveal private information.

关键词： Privacy visualization image segmentation image coding visual communication Object detection Multitasking

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Binocular visual Mechanism Guided No-Reference Stereoscopic image Quality Assessment Considering Spatial Saliency

Binocular Visual Mechanism Guided No-Reference Stereoscopic ...

引用

IEEE visual communications and image processing (VCIP)

作者： Jinhui Feng Sumei Li Yongli Chang Tianjin International Engineering Institute Tianjin University Tianjin China School of Electrical and Information Enginering Tianjin University Tianjin China

ISBN: (纸本)9781728173221

In recent years, with the popularization of 3D technology, stereoscopic image quality assessment (SIQA) has attracted extensive attention. In this paper, we propose a two-stage binocular fusion network for SIQA, which takes binocular fusion, binocular rivalry and binocular suppression into account to imitate the complex binocular visual mechanism in the human brain. Besides, to extract spatial saliency features of the left view, the right view, and the fusion view, saliency generating layers (SGLs) are applied in the network. The SGL apply multi-scale dilated convolution to emphasize essential spatial information of the input features. Experimental results on four public stereoscopic image databases demonstrate that the proposed method outperforms the state-of-the-art SIQA methods on both symmetrical and asymmetrical distortion stereoscopic images.

关键词： image quality visualization Three-dimensional displays visual communication image databases Convolution Stereo image processing

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Multi-camera system for placing the viewer between the players of a live sports match: Blind Review

Multi-camera system for placing the viewer between the playe...

引用

IEEE visual communications and image processing (VCIP)

We demonstrate a new capture system that allows generation of virtual views corresponding with a virtual camera that is placed between the players on a sports field. Our depth estimation and segmentation pipeline can reduce 2K resolution views from 16 cameras to patches in a single 4K resolution texture atlas. We have created a real time, WebGL 2 based, playback application that renders an arbitrary view from the 4K atlas. The application allows a user to change viewpoint in real time. Additionally, to interpret the scene, a user can also remove objects such as a player or the ball. At the conference we will demonstrate both the automatic multi-camera conversion pipeline and the real-time rendering/object removal on a smartphone.

关键词： visual communication image processing Pipelines Estimation Cameras Rendering (computer graphics) Real-time systems

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People Detection and Tracking Using a Fisheye Camera Network

People Detection and Tracking Using a Fisheye Camera Network

引用

IEEE visual communications and image processing (VCIP)

作者： Tsaipei Wang Chih-Hao Liao Li-Hsuan Hsieh Arvin Wen Tsui Hsin-Chien Huang National Yang Ming Chiao Tung University Hsinchu Taiwan ROC Industrial Technology Research Institute Hsinchu Taiwan ROC

ISBN: (纸本)9781728173221

In this paper we study techniques for accurate detection, localization, and tracking of multiple people in an indoor scene covered by multiple top-view fisheye cameras. This is a rarely studied setting within the topic of multi-camera object tracking. The experimental results on test videos exhibit good performance for practical use. We also propose methods to account for occlusion by scene objects at different stages of the algorithm that lead to improved results.

关键词： Location awareness visual communication image processing Computational modeling Graphics processing units Cameras Real-time systems

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Big Data processing Technology in Film and Television Post Production

Big Data Processing Technology in Film and Television Post P...

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2020 International conference on Artificial Intelligence, Computer Networks and communications, AICNC 2020

作者： Xu, Qianqian School of Software Engineering Jiangxi University of Software Professional Technology Nanchang China

Nowadays, the wave of digitization, networking and informatization is sweeping the world, which makes the visual image become an important way of communication and transmission of global culture. The purpose of this paper is to analyze the application of big data processing technology in film and television post production. The distributed computing power of MapReduce is used to extract the content features of video images, construct corresponding indexes, and store and retrieve them in HBase database according to the indexes to form a big data processing platform for video images. This paper deeply discusses the framework related theory as the support of big data processing technology in film and television post production, analyzes the common algorithms in nonlinear editing system, discusses the mirror effect monorail and double track special effects in video special effects, and makes the realization effect of each kind of special effects in the space domain, and makes some special effects among them, The implementation of compressed domain is discussed. In this paper, through the application of experimental video big data processing technology to the film and television post production of various possibilities, and draw the following conclusions: in extreme cases, the stunt tree becomes a one-dimensional linear structure, using traditional parallel topology sorting, the device parallelism is 0, and using pipeline scheduling, because of breaking the sequence between frames, can play a relatively large parallelism. © Published under licence by IOP Publishing Ltd.

关键词： Big data

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Towards Universal GAN image Detection

Towards Universal GAN Image Detection

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IEEE visual communications and image processing (VCIP)

作者： Davide Cozzolino Diego Gragnaniello Giovanni Poggi Luisa Verdoliva University Federico II of Naples Italy

ISBN: (纸本)9781728173221

The ever higher quality and wide diffusion of fake images have spawn a quest for reliable forensic tools. Many GAN image detectors have been proposed, recently. In real world scenarios, however, most of them show limited robustness and generalization ability. Moreover, they often rely on side information not available at test time, that is, they are not universal. We investigate these problems and propose a new GAN image detector based on a limited sub-sampling architecture and a suitable contrastive learning paradigm. Experiments carried out in challenging conditions prove the proposed method to be a first step towards universal GAN image detection, ensuring also good robustness to common image impairments, and good generalization to unseen architectures.

关键词： Training image coding visual communication Forensics Detectors Robustness

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Alpha-trimmed Mean Filter and XOR based image Enhancement for Embedding Data in image

Alpha-trimmed Mean Filter and XOR based Image Enhancement fo...

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IEEE visual communications and image processing (VCIP)

作者： S. M. Ammar Alam Moid Ul Huda Muhammad Farhan Dhanani School of Science & Engr. Habib University Karachi Pakistan

ISBN: (纸本)9781728173221

In the age of digital content creation and distribution, steganography, that is, hiding of secret data within another data is needed in many applications, such as in secret communication between two parties, piracy protection, etc. In image steganography, secret data is generally embedded within the image through an additional step after a mandatory image enhancement process. In this paper, we propose the idea of embedding data during the image enhancement process. This saves the additional work required to separately encode the data inside the cover image. We used the Alpha-Trimmed mean filter for image enhancement and XOR of the 6 MSBs for embedding the two bits of the bitstream in the 2 LSBs whereas the extraction is a reverse process. Our obtained quantitative and qualitative results are better than a methodology presented in a very recent paper.

关键词： Steganography visual communication image enhancement

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