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Computer Vision ACCV 2020: 15th Asian Conference on Computer Vision, Kyoto, Ja [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3030695344
  • ISBN-10:  3030695344
  • ISBN-13:  9783030695347
  • ISBN-13:  9783030695347
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2021
  • Pub Date:  01-Apr-2021
  • SKU:  3030695344-11-SPRI
  • SKU:  3030695344-11-SPRI
  • Pages:  757
  • Pages:  757
  • Item ID: 105233512
  • List Price: $109.99
  • Seller: ShopSpell
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  • Delivery by: Oct 03 to Oct 05
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The six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.*

The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics:

Part I: 3D computer vision; segmentation and grouping

Part II: low-level vision, image processing; motion and tracking

Part III: recognition and detection; optimization, statistical methods, and learning; robot vision

Part IV: deep learning for computer vision, generative models for computer vision

Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis

Part VI: applications of computer vision; vision for X; datasets and performance analysis

*The conference was held virtually.

Recognition and Detection.- End-to-end Model-based Gait Recognition.- Horizontal Flipping Assisted Disentangled Feature Learning for Semi-Supervised Person Re-Identification.- MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings.- Backbone Based Feature Enhancement for Object Detection.- Long-Term Cloth-Changing Person Re-identification.- Any-Shot Object Detection.- Background Learnable Cascade for Zero-Shot Object Detection.- Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation.- COG: COnsistent data auGmentation for object perception.- Synthesizing the Unseen for Zero-shot Object Detection.- Fully Supervised and Guided Distillation for One-Stage Detectors.- Visualizing Color-wise Saliency of Black-Box Image Classification Models.- ERIC: Extracting Relations Inferred from Convolutions.- D2D: Keypoint Extraction with Describe to Detect Approach.- Accurate Arbitrary-Shaped Scene Text DelsĖ
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