Description |
1 online resource (xliii, 797 pages) : illustrations (some color) |
Series |
Lecture notes in computer science ; 12347 |
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LNCS sublibrary: SL 6, Image processing, computer vision, pattern recognition, and graphics |
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Lecture notes in computer science ; 12347.
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Contents |
Intro -- Foreword -- Preface -- Organization -- Contents -- Part II -- Diffraction Line Imaging -- 1 Introduction -- 2 Background on Diffraction Gratings -- 3 Diffraction-Based 2D Positioning -- 3.1 Image Formation Model -- 3.2 Learning to Recover Horizontal Coordinates -- 4 Expanding the FOV Using Multiple ROIs -- 5 Reducing Sparse Point Uncertainty -- 5.1 Horizontal Cylindrical Lens -- 5.2 Double-Axis Diffraction -- 6 Hardware and Calibration -- 7 Experimental Evaluation Details -- 8 Concluding Remarks -- References |
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Transforming and Projecting Images into Class-Conditional Generative Networks -- 1 Introduction -- 2 Related Work -- 3 Image Projection Methods -- 3.1 Basic Loss Function -- 3.2 Object Localization -- 3.3 Transformation Model and Loss -- 3.4 Optimization Algorithms -- 3.5 Fine-Tuning -- 4 Results -- 5 Discussion -- References -- Suppress and Balance: A Simple Gated Network for Salient Object Detection -- 1 Introduction -- 2 Related Work -- 2.1 Salient Object Detection -- 2.2 Multiscale Feature Extraction -- 2.3 Gated Mechanisms -- 3 Proposed Method -- 3.1 Network Overview -- 3.2 Gated Dual Branch |
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3.3 Folded Atrous Spatial Pyramid Pooling -- 3.4 Supervision -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Performance Comparison with State-of-the-Art -- 4.3 Ablation Studies -- 5 Conclusions -- References -- Visual Memorability for Robotic Interestingness via Unsupervised Online Learning -- 1 Introduction -- 2 Related Work -- 3 Visual Memory -- 3.1 Memory Writing -- 3.2 Memory Reading -- 4 Learning -- 4.1 Long-Term Learning -- 4.2 Short-Term Learning -- 4.3 Online Learning -- 5 Experiments -- 6 Ablation Study -- 6.1 Writing Protocol -- 6.2 Memory Capacity -- 6.3 Translational Invariance |
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6.4 Losing Interest -- 7 Conclusion -- References -- Post-training Piecewise Linear Quantization for Deep Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Quantization Schemes -- 3.1 Uniform Quantization -- 3.2 Piecewise Linear Quantization (PWLQ) -- 3.3 Error Analysis -- 4 Hardware Impact -- 5 Experiments -- 5.1 Ablation Study on ImageNet -- 5.2 Comparison to Existing Approaches -- 5.3 Other Applications -- 6 Conclusion -- References -- Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Disentangling Module |
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3.2 Adaptation Module -- 3.3 Discussion -- 3.4 Optimization -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Quantitative Results -- 4.3 Qualitative Results -- 5 Conclusion -- References -- In-Home Daily-Life Captioning Using Radio Signals -- 1 Introduction -- 2 Related Work -- 3 RF Signal Preliminary -- 4 RF-Diary -- 4.1 RF Signal Encoding -- 4.2 Floormap Encoding -- 4.3 Caption Generation -- 5 Multi-modal Feature Alignment Training -- 5.1 Video Encoding -- 5.2 Alignment of Paired Data -- 5.3 Alignment of Unpaired Data -- 6 Experiments -- 6.1 Quantitative Results -- 6.2 Ablation Study |
Summary |
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation |
Notes |
Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed January 26, 2021) |
Subject |
Computer vision -- Congresses
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Optical data processing.
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Machine learning.
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Computer organization.
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Application software.
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Machine Learning
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Computer vision
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Application software
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Computer organization
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Machine learning
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Optical data processing
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Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Vedaldi, Andrea, editor
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Bischof, Horst, editor
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Brox, Thomas, editor
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Frahm, Jan-Michael, editor.
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ISBN |
9783030585365 |
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3030585360 |
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