Hidden Bibliographic Details
| Varying Form of Title: | ICIG 2021
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| Other authors / contributors: | Peng, Yuxin.
Hu, Shi-Min.
Gabbouj, Moncef.
Zhou, Kun.
Elad, M. (Michael)
Xu, Kun.
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| ISBN: | 9783030873615
3030873617
9783030873608
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| Notes: | 2.3 Motivation of Our Method.
Includes author index.
References -- PST-NET: Point Cloud Sampling via Point-Based Transformer -- 1 Introduction -- 2 Related Work -- 2.1 Point Cloud Sampling -- 2.2 Point-Based Deep Learning -- 3 Network -- 3.1 Data Augmentation -- 3.2 Transformer -- 3.3 Loss -- 4 Experiments -- 4.1 ModelNet40 -- 4.2 Implementation Details -- 4.3 Controlled Experiments of Relation Function -- 4.4 Classification -- 5 Conclusion -- References -- Bird Keypoint Detection via Exploiting 2D Texture and 3D Geometric Features -- 1 Introduction -- 2 Related Work -- 2.1 Traditional Methods -- 2.2 Deep Learning Methods.
Online resource; title from PDF title page (SpringerLink, viewed October 7, 2021).
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| Summary: | This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.
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| Other form: | Print version: Peng, Yuxin Image and Graphics Cham : Springer International Publishing AG,c2021 9783030873608
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| Standard no.: | 10.1007/978-3-030-87361-5
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