| Description |
1 online resource (504 pages) |
| Series |
Lecture Notes in Computer Science ; 12544 |
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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 ; 12544.
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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| Contents |
Intro -- Preface -- Organization -- Awards -- Contents -- Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows -- 1 Introduction -- 2 Related Work -- 3 Single Affine Coupling Layer -- 3.1 Architecture -- 3.2 KL Divergence Minimizer -- 3.3 Tight Bound on Loss -- 3.4 Determining the Optimal Rotation -- 3.5 Independent Outputs -- 4 Layer-Wise Learning -- 5 Conclusion -- References -- Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations -- 1 Introduction -- 2 Related Work -- 3 Semantic Bottlenecks |
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3.1 Supervised Semantic Bottlenecks (SSBs) -- 3.2 Unsupervised Semantic Bottlenecks (USBs) -- 4 Quantification of Layer Output Inspectability -- 4.1 AUiC Metric -- 4.2 Discussion -- 5 Results -- 5.1 Setup -- 5.2 Quantitative Improvements with SBs -- 5.3 Qualitative Improvements with SBs -- 6 Conclusion -- References -- Bias Detection and Prediction of Mapping Errors in Camera Calibration -- 1 Introduction -- 2 Fundamentals -- 3 Related Work -- 4 Detecting Systematic Errors -- 5 The Expected Mapping Error (EME) -- 6 Experimental Evaluation -- 7 Results -- 8 Application in Calibration Guidance |
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9 Conclusion and Future Research -- References -- Learning to Identify Physical Parameters from Video Using Differentiable Physics -- 1 Introduction -- 1.1 Related Work -- 2 Background -- 2.1 Unconstrained and Constrained Dynamics -- 3 Method -- 3.1 Network Architecture -- 3.2 Training Losses -- 4 Experiments -- 4.1 Simulated Scenarios and Observability Analysis -- 4.2 Results -- 4.3 Qualitative Video Prediction Results -- 4.4 Discussion and Limitations -- 5 Conclusion -- References -- Assignment Flow for Order-Constrained OCT Segmentation -- 1 Introduction -- 2 Assignment Flow |
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3 OCT Data Representation by Covariance Descriptors -- 4 Ordered Layer Segmentation -- 4.1 Ordering Constraint -- 4.2 Ordered Assignment Flow -- 5 Experimental Results and Discussion -- 6 Conclusion -- References -- Boosting Generalization in Bio-signal Classification by Learning the Phase-Amplitude Coupling -- 1 Introduction -- 2 Related Work -- 3 Learning to Detect the Phase-Amplitude Coupling -- 4 Experiments -- 4.1 Data Sets -- 4.2 Training Procedures and Models -- 4.3 Evaluation Procedures -- 4.4 Generalization on the Sleep Cassette Data Set -- 4.5 Generalization on the ISRUC-Sleep Data Set |
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4.6 Comparison to the Relative Positioning Task -- 4.7 Results on the Sleep Telemetry and CHB-MIT Data Sets -- 4.8 Impact of the Window Size -- 4.9 Frozen vs Fine-Tuned Encoder -- 4.10 Architecture -- 5 Conclusions -- References -- Long-Tailed Recognition Using Class-Balanced Experts -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Long-Tailed Recognition Using Class-Balanced Experts -- 3.2 Out-of-Distribution Detection for Experts -- 3.3 Fusing Expert Posteriors -- 4 Experiments -- 4.1 Oracle Performance -- 4.2 Effect of Joint Calibration Module -- 4.3 Diverse Ensembles with Experts |
| Summary |
This book constitutes the refereed proceedings of the 42nd German Conference on Pattern Recognition, DAGM GCPR 2020, which took place during September 28 until October 1, 2020. The conference was planned to take place in Tübingen, Germany, but had to change to an online format due to the COVID-19 pandemic. The 34 papers presented in this volume were carefully reviewed and selected from a total of 89 submissions. They were organized in topical sections named: Normalizing Flow, Semantics, Physics, Camera Calibration and Computer Vision, Pattern Recognition, Machine Learning |
| Notes |
"It was our honor and pleasure to organize the 42nd German Conference on Pattern Recognition (DAGM GCPR 2020), held virtually between September 28th and October 1st, 2020"--Preface |
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4.4 Comparison to the State-of-the-Art |
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Includes author index |
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Print version record |
| Subject |
Pattern recognition systems -- Congresses
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Pattern perception -- Congresses
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Pattern perception
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Pattern recognition systems
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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 |
Akata, Zeynep
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Geiger, Andreas
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Sattler, Torsten
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| ISBN |
9783030712785 |
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3030712788 |
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303071277X |
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9783030712778 |
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9783030712792 |
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3030712796 |
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