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_aComputer Vision – ACCV 2020 Workshops _h[electronic resource] : _b15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers / _cedited by Imari Sato, Bohyung Han. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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300 |
_aVIII, 199 p. 79 illus., 68 illus. in color. _bonline resource. |
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336 |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aImage Processing, Computer Vision, Pattern Recognition, and Graphics, _x3004-9954 ; _v12628 |
|
505 | 0 | _aSpatial and Channel Attention Modulated Network for Medical Image Segmentation -- Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution -- Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors -- G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait -- Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN -- BdSL36: A Dataset for Bangladeshi Sign Letters Recognition -- 3D Semantic Segmentation for Large-Scale Scene Understanding -- A Weakly Supervised Convolutional Network for Change Segmentation and Classification -- Visible and Thermal Camera-based Jaywalking Estimation using a Hierarchical Deep Learning Framework -- Towards Locality Similarity Preserving to 3D Human Pose Estimation -- Iterative Self-distillation for Precise Facial Landmark Localization -- Multiview Similarity Learning for Robust Visual Clustering -- Real-time Spatio-temporal Action Localization via Learning Motion Representation. | |
520 | _aThis book constitutes the refereed post-conference proceedings of four workshops held at the 15th Asian Conference on Computer Vision, ACCV 2020, which was held in Kyoto, Japan, in November/ December 2020.* The 13 papers were carefully reviewed and selected from the following two workshops: Machine Learning and Computing for Visual Semantic Analysis (MLCSA) and Multi-Visual-Modality Human Activity Understanding (MMHAU). *The conference and workshops were held virtually. | ||
650 | 0 | _aComputer vision. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer engineering. | |
650 | 0 | _aComputer networks . | |
650 | 0 | _aPattern recognition systems. | |
650 | 0 | _aApplication software. | |
650 | 1 | 4 | _aComputer Vision. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputer Engineering and Networks. |
650 | 2 | 4 | _aAutomated Pattern Recognition. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
700 | 1 |
_aSato, Imari. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aHan, Bohyung. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030697556 |
776 | 0 | 8 |
_iPrinted edition: _z9783030697570 |
830 | 0 |
_aImage Processing, Computer Vision, Pattern Recognition, and Graphics, _x3004-9954 ; _v12628 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-69756-3 |
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