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Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. (arXiv:2208.12527v1 [cs.CV])
Aug. 29, 2022, 1:14 a.m. | Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang
cs.CV updates on arXiv.org arxiv.org
The neuromorphic spike camera generates data streams with high temporal
resolution in a bio-inspired way, which has vast potential in the real-world
applications such as autonomous driving. In contrast to RGB streams, spike
streams have an inherent advantage to overcome motion blur, leading to more
accurate depth estimation for high-velocity objects. However, training the
spike depth estimation network in a supervised manner is almost impossible
since it is extremely laborious and challenging to obtain paired depth labels
for temporally intensive …
More from arxiv.org / cs.CV updates on arXiv.org
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