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Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 November 1, 2021, Proceedings, Part III [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3030880095
  • ISBN-10:  3030880095
  • ISBN-13:  9783030880095
  • ISBN-13:  9783030880095
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2021
  • Pub Date:  01-Apr-2021
  • SKU:  3030880095-11-SPRI
  • SKU:  3030880095-11-SPRI
  • Pages:  633
  • Pages:  633
  • Item ID: 105283220
  • List Price: $109.99
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The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.

The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

Low-level Vision and Image Processing.- SaliencyBERT: Recurrent Attention Network for Target-oriented Multimodal Sentiment Classification.- Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining.- Semantic-Driven Context Aggregation Network for Underwater Image Enhancement.- A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection.- Multi-Level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area.- 3D^2Unet: 3D Deformable Unet for Low-Light Video Enhancement.- Single Image Specular Highlight Removal on Natural Scenes.- Document image binarization using visibility detection and point cloud segmentation.- LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution.- Infrared Small Target Detection Based on Weighted Variation Coefficient Local Contrast Measure.- Scale-aware Distillation Network for Lightweight Image Super-Resolution.- Deep Multi-Illumination Fusion for Low-Light Image Enhancement.- Relational Attention with Textual Enhanced Transformer For Image Captioning.- Non-local Network Routing for Perceptual Image Super-Resolution.- Multi-Focus Image Fusion with Cooperative Imal#-

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