8 citations · 8 across the 4 of their papers we have counts for
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cs.CV2021★ 8 cited
E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers
J. Brennan Peace, Eric Psota, Yanfeng Liu +1
Existing fiducial markers solutions are designed for efficient detection and decoding, however, their ability to stand out in natural environments is difficult to infer from relati…
cs.CV2021
Exploiting Invariance in Training Deep Neural Networks
Chengxi Ye, Xiong Zhou, Tristan McKinney +3
Inspired by two basic mechanisms in animal visual systems, we introduce a feature transform technique that imposes invariance properties in the training of deep neural networks. Th…