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