A Large Scale Multi-View RGBD Visual Affordance Learning Dataset
The physical and textural attributes of objects have been widely studied for recognition, detection and segmentation tasks in computer vision. A number of datasets, such as large scale ImageNet, have been proposed for feature learning using data hungry deep neural networks and for hand-crafted featu...
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Published in | 2023 IEEE International Conference on Image Processing (ICIP) pp. 1325 - 1329 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
08.10.2023
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Subjects | |
Online Access | Get full text |
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