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|a 10.1007/978-3-030-92659-5
|2 doi
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|a GCPR (Conference)
|n (43rd :
|d 2021 :
|c Online)
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| 245 |
1 |
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|a Pattern recognition :
|b 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 -October 1, 2021, Proceedings /
|c Christian Bauckhage, Juergen Gall, Alexander Schwing (eds.).
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| 246 |
3 |
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|a DAGM GCPR 2021
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| 264 |
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|a Cham, Switzerland :
|b Springer,
|c 2021.
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| 300 |
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|a 1 online resource (xvii, 726 pages) :
|b illustrations.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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| 347 |
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|a text file
|b PDF
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| 490 |
1 |
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|a Lecture notes in computer science ;
|v 13024
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| 490 |
1 |
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|a LNCS sublibrary, SL 6, Image processing, computer vision, pattern recognition, and graphics
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| 500 |
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|a "[...] which was held as a virtual conference from September 28 to October 1, 2021." -- Preface.
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| 505 |
0 |
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|a Machine Learning and Optimization -- Sublabel-Accurate Multilabeling Meets Product Label Spaces -- InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization -- Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise -- Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data -- Revisiting Consistency Regularization for Semi-Supervised Learning -- Learning Robust Models Using the Principle of Independent Causal Mechanisms -- Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks -- Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators -- End-to-end Learning of Fisher Vector Encodings for Part Features in Fine-grained Recognition -- Investigating the Consistency of Uncertainty Sampling in Deep Active Learning -- ScaleNet: An Unsupervised Representation Learning Method for Limited Information -- Actions, Events, and Segmentation -- A New Split for Evaluating True Zero-Shot Action Recognition -- Video Instance Segmentation with Recurrent Graph Neural Networks -- Distractor-Aware Video Object Segmentation -- (SP)^2Net for Generalized Zero-Label Semantic Segmentation -- Contrastive Representation Learning for Hand Shape Estimation -- Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks -- FIFA: Fast Inference Approximation for Action Segmentation -- Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision -- A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting -- Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing -- Spatiotemporal Outdoor Lighting Aggregation on Image Sequences -- Generative Models and Multimodal Data -- AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style -- Learning Conditional Invariance through Cycle Consistency -- CAGAN: Text-To-Image Generation with Combined Attention Generative Adversarial Networks -- TxT: Crossmodal End-to-End Learning with Transformers -- Diverse Image Captioning with Grounded Style -- Labeling and Self-Supervised Learning -- Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-Labeling -- Quantifying Uncertainty of Image Labelings Using Assignment Flows -- Implicit and Explicit Attention for Zero-Shot Learning -- Self-Supervised Learning for Object Detection in Autonomous Driving -- Assignment Flows and Nonlocal PDEs on Graphs -- Applications -- Viewpoint-Tolerant Semantic Segmentation for Aerial Logistics -- T6D-Direct: Transformers for Multi-Object 6D Pose Direct Regression -- TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases -- Detecting Slag Formations with Deep Convolutional Neural Networks -- Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture -- Weakly Supervised Segmentation Pre-training for Plant Cover Prediction -- How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? -- 3D Modeling and Reconstruction -- Clustering Persistent Scatterer Points Based on a Hybrid Distance Metric -- CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds -- Zero-Shot remote sensing image super resolution based on image continuity and self-tessellations -- A Comparative Survey of Geometric Light Source Calibration Methods -- Quantifying point cloud realism through adversarially learned latent representations -- Full-Glow: Fully conditional Glow for more realistic image generation -- Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. .
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|a Includes author index.
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| 520 |
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|a This book constitutes the refereed proceedings of the 43rd DAGM German Conference on Pattern Recognition, DAGM GCPR 2021, which was held during September 28-October 1, 2021. The conference was planned to take place in Bonn, Germany, but changed to a virtual event due to the COVID-19 pandemic. The 46 papers presented in this volume were carefully reviewed and selected from 116 submissions. They were organized in topical sections as follows: machine learning and optimization; actions, events, and segmentation; generative models and multimodal data; labeling and self-supervised learning; applications; and 3D modelling and reconstruction.
|
| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed January 26, 2022).
|
| 650 |
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0 |
|a Pattern recognition systems
|v Congresses.
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| 650 |
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0 |
|a Pattern perception
|v Congresses.
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| 650 |
|
7 |
|a Pattern perception
|2 fast
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| 650 |
|
7 |
|a Pattern recognition systems
|2 fast
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| 655 |
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7 |
|a proceedings (reports)
|2 aat
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| 655 |
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|a Conference papers and proceedings
|2 fast
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| 655 |
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|a Conference papers and proceedings.
|2 lcgft
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| 655 |
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7 |
|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Bauckhage, Christian,
|e editor.
|1 https://orcid.org/0000-0001-6615-2128
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| 700 |
1 |
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|a Gall, Juergen,
|e editor.
|1 https://orcid.org/0000-0002-9447-3399
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| 700 |
1 |
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|a Schwing, Alexander,
|e editor.
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783030926588
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783030926601
|
| 830 |
|
0 |
|a Lecture notes in computer science ;
|v 13024.
|
| 830 |
|
0 |
|a LNCS sublibrary.
|n SL 6,
|p Image processing, computer vision, pattern recognition, and graphics.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-92659-5
|y Click for online access
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| 903 |
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|a SPRING-COMP2021
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| 994 |
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|a 92
|b HCD
|