most citedCbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose

2 citations · 3 across the 2 of their papers we have counts for

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cs.CV2023★ 1 cited

HQDec: Self-Supervised Monocular Depth Estimation Based on a High-Quality Decoder

Fei Wang, Jun Cheng

Decoders play significant roles in recovering scene depths. However, the decoders used in previous works ignore the propagation of multilevel lossless fine-grained information, can…

cs.CV2022★ 2 cited

CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose

Fei Wang, Jun Cheng, Penglei Liu

Photometric differences are widely used as supervision signals to train neural networks for estimating depth and camera pose from unlabeled monocular videos. However, this approach…