Search Results - "2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)"

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  1. 1

    Singular Value Decomposition and Entropy Dimension of Fractals by Weng, Xiaojing, Perry, Altai, Maroun, Michael, Vuong, Luat T.

    “…We analyze the singular value decomposition (SVD) and SVD entropy of Cantor fractals produced by the Kronecker product. Our primary results show that SVD…”
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    Conference Proceeding
  2. 2

    A ViTDet based dual-source fusion object detection method of UAV by Fang, Zhi, Zhang, Tao, Fan, XiHui

    “…Dual-source fusion detection can effectively solve the problems of UAV, such as the limited use of visible light imaging and infrared imaging misdetection…”
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    Conference Proceeding
  3. 3

    YOLO-Animal: An efficient wildlife detection network based on improved YOLOv5 by Ma, Ding, Yang, Jun

    “…With the continuous development of modern society, the rapid expansion of human civilization squeezes the living space of other organisms, and the extinction…”
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    Conference Proceeding
  4. 4

    Grasp Detection Algorithm Based on CSP-ResNet by Shan, Maomao, Zhang, Jing, Zhu, Huilong, Li, Chenghao, Tian, Fenglian

    “…Aiming at the problem of low detection accuracy of grasping detection algorithm based on RGB information as input, this paper proposes a grasping detection…”
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    Conference Proceeding
  5. 5

    Recognition of HRRP sequence based on TCN with attention and elastic net regularization by Wang, Xiaodan, Wang, Peng, Song, Yafei, Li, Jingtai

    “…Traditional high-resolution range profile (HRRP) sequence recognition methods rely on artificial feature extraction and ignore the different importance of the…”
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    Conference Proceeding
  6. 6

    Cross-Camera Vehicle Trajectory Estimation towards Traffic Flow by Li, Baolu, Qin, Kongjian, Cui, Zhichao, Xu, Qian, Xu, Zhigang

    “…Cross-Camera vehicle tracking(CCVT) is an significant field in intellective transportation systems and intelligent visual perception in smart city. It is…”
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    Conference Proceeding
  7. 7

    SAE-wAMD: A Self-Attention Enhanced convolution neural network for fine-grained classification of wet Age-Related Macular Degeneration using OCT Images by Haihong, E, Ding, Junpeng, Yuan, Lifei

    “…Wet Age-related Macular Degeneration (wet AMD) which is the leading cause of irreversible visual loss for elder people can be subdivided into Neovascular AMD…”
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    Conference Proceeding
  8. 8

    Hybrid Transformer and Convolution for Medical Image Segmentation by Wang, Fan, Wang, Bo

    “…Using medical image segmentation algorithm to automatically label diseased organs or tissues can effectively help doctors to diagnose and treat various…”
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    Conference Proceeding
  9. 9

    Visual SLAM Based on YOLOX-S in Dynamic Scenes by Tian, YingLiang, Xu, GaoChao, Li, JiaXing, Sun, YingJie

    “…Simultaneous Localization and Mapping (SLAM) is the foundation of various field such as moving robots, which has achieved good results in static environments…”
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    Conference Proceeding
  10. 10

    Object Detection in Visible and Infrared missile borne fusion image by Xue, Song, Liu, Yongfeng, Xu, Chao, Li, Jun

    “…At present, common object detection methods for missile borne images often perform poorly. Because the experimental data of missile borne images is difficult…”
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    Conference Proceeding
  11. 11

    Intelligent Video Recognition of Violation Behavior in Substation Site Based on Mask R-CNN by Li, Jian, Ren, Qi, Wu, Jia

    “…In order to improve the efficiency and timeliness of power safety control, this paper studies the video recognition method of violation behavior in substation…”
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    Conference Proceeding
  12. 12

    PCB Image Registration Based on Improved SURF Algorithm by Li, Xinyang, He, Hua, Huang, Chuyun, Shi, Yijian

    “…In order to solve the problems of time-consuming and low matching accuracy in PCB image registration process, an improved speeded-up robust features (SURF)…”
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    Conference Proceeding
  13. 13

    Multimodal Model Prediction of Pedestrian Trajectories Based on Graph Convolutional Neural Networks by Song, JiHong, Zhao, Yang

    “…Understanding and accurately predicting the moving trajectories of pedestrians is of great significance for improving the level of autonomous driving…”
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    Conference Proceeding
  14. 14

    Augmented Reality Calibration with Stereo Image Registration for Surgical Navigation by Zhao, Zehua, Fu, Tianyu, Shao, Long, Song, Hong, Fan, Jingfan, Xiao, Deqiang, Lin, Yucong, Yang, Jian

    “…Augmented reality (AR), an important approach for humans to access more information, has been widely used in various fields, such as medical, military,…”
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    Conference Proceeding
  15. 15

    Cardiac Image Segmentation Based on Improved U-Net by Qiao, Guang Xiao, Song, Ji Hong

    “…Due to the complexity of the whole heart tissue, low segmentation accuracy, easy adhesion of tissue and incomplete segmentation in CT images, this paper…”
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    Conference Proceeding
  16. 16

    Research on Improved K-means Image Segmentation Algorithm Based on HSV Space by Liang, Renjie, Han, Lei, Liu, Panling, Liu, Miao

    “…Aiming at the defects that K-means algorithm is sensitive to the initial parameters and the segmentation effect is not ideal in image segmentation, this paper…”
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    Conference Proceeding
  17. 17

    Exploration of Membership Inference Attack on Convolutional Neural Networks and Its Defenses by Yao, Yimian

    “…Recently, machine learning has been frequently applied in multiple areas, like image classification and object recognition. However, some machine learning…”
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    Conference Proceeding
  18. 18

    A Heterogeneous Learning Resources Recommendation Algorithm Combination of Content-Based and Keyword Vectors Weight by Wan, JingKe, Su, Linbo, Zhang, YaNi, Qin, Lei

    “…At present, there are a variety of learning resources which can be applied to personalized recommendations in the field of online education. While being…”
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    Conference Proceeding
  19. 19

    An Adaptive Quasi-Hyperbolic Momentum Method Based on AdaGrad+ Strategy by Wei, Hongxu, Zhang, Xu, Fang, Zhi

    “…The adaptive momentum method is a research hotspot in the field of optimization in recent years. At present, most adaptive momentum methods use AdaGrad-type…”
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    Conference Proceeding
  20. 20

    RGB-D Salient Object Detection via Joint Learning and Multi-feature Fusion by Chen, Peng, Li, BenHang

    “…The detection performance of RGB salient object detection (SOD) needs to be improved when faced with complex backgrounds, and depth map can provide RGB map…”
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    Conference Proceeding