Rethinking spatial invariance of convolutional networks for object counting

ZQ Cheng, Q Dai, H Li, J Song, X Wu… - Proceedings of the …, 2022 - openaccess.thecvf.com
Previous work generally believes that improving the spatial invariance of convolutional
networks is the key to object counting. However, after verifying several mainstream counting …

Rethinking Spatial Invariance of Convolutional Networks for Object Counting

ZQ Cheng, Q Dai, H Li, JK Song, X Wu… - arXiv preprint arXiv …, 2022 - arxiv.org
Previous work generally believes that improving the spatial invariance of convolutional
networks is the key to object counting. However, after verifying several mainstream counting …

Rethinking Spatial Invariance of Convolutional Networks for Object Counting

ZQ Cheng, Q Dai, H Li, J Song, X Wu… - 2022 IEEE/CVF …, 2022 - ieeexplore.ieee.org
Previous work generally believes that improving the spatial invariance of convolutional
networks is the key to object counting. However, after verifying several mainstream counting …

[PDF][PDF] Rethinking Spatial Invariance of Convolutional Networks for Object Counting

ZQ Cheng, Q Dai, H Li, J Song, X Wu, AG Hauptmann - researchgate.net
Previous work generally believes that improving the spatial invariance of convolutional
networks is the key to object counting. However, after verifying several mainstream counting …

Rethinking Spatial Invariance of Convolutional Networks for Object Counting

ZQ Cheng, Q Dai, H Li, J Song, X Wu… - 2022 IEEE/CVF …, 2022 - computer.org
Previous work generally believes that improving the spatial invariance of convolutional
networks is the key to object counting. However, after verifying several mainstream counting …

Rethinking Spatial Invariance of Convolutional Networks for Object Counting

ZQ Cheng, Q Dai, H Li, JK Song, X Wu… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Previous work generally believes that improving the spatial invariance of convolutional
networks is the key to object counting. However, after verifying several mainstream counting …