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TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for
  Monocular Depth Estimation

TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation

22 February 2024
Sangwon Choi
Daejune Choi
Duksu Kim
ArXivPDFHTML

Papers citing "TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation"

3 / 3 papers shown
Title
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular
  Depth Estimation in the Dark
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark
Kun Wang
Zhenyu Zhang
Zhiqiang Yan
Xiang Li
Baobei Xu
Jun Li
Jian Yang
MDE
75
76
0
09 Aug 2021
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
188
1,707
0
06 Jun 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
294
75,800
0
18 May 2015
1