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Attentional Separation-and-Aggregation Network for Self-supervised
  Depth-Pose Learning in Dynamic Scenes

Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes

Conference on Robot Learning (CoRL), 2020
18 November 2020
Feng Gao
Jincheng Yu
Hao Shen
Yu Wang
Huazhong Yang
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes"

9 / 9 papers shown
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic
  Scenes
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic ScenesComputer Vision and Pattern Recognition (CVPR), 2022
Tak-Wai Hui
MDE
315
57
0
08 Mar 2023
Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth
  Estimation in Dynamic Scenes
Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes
Songchun Zhang
Chunhui Zhao
ViTMDE
212
5
0
14 Jan 2023
Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular
  Depth Estimation
Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation
S. Tomar
Maitreya Suin
A. N. Rajagopalan
ViTMDE
251
7
0
20 Nov 2022
Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation
Pixel-Wise Prediction based Visual Odometry via Uncertainty EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Haoming Chen
Tingbo Liao
Hsuan-Kung Yang
Chun-Yi Lee
194
2
0
18 Aug 2022
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame
  Monocular Depth
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular DepthEuropean Conference on Computer Vision (ECCV), 2022
Ziyue Feng
Liang Yang
Longlong Jing
Haiyan Wang
Yingli Tian
Bing Li
MDE
347
90
0
29 Mar 2022
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for
  Consistent Self-Supervised Monocular Depth Estimation
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
Patrick Ruhkamp
Daoyi Gao
Hanzhi Chen
Nassir Navab
Benjamin Busam
ViTMDE
278
42
0
15 Oct 2021
Attentive and Contrastive Learning for Joint Depth and Motion Field
  Estimation
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation
Seokju Lee
François Rameau
Fei Pan
In So Kweon
307
37
0
13 Oct 2021
Fractal Pyramid Networks
Fractal Pyramid Networks
Z. Deng
Huimin Yu
Yangqi Long
SSeg
179
3
0
28 Jun 2021
Attention, please! A survey of Neural Attention Models in Deep Learning
Attention, please! A survey of Neural Attention Models in Deep LearningArtificial Intelligence Review (AIR), 2021
Alana de Santana Correia
Esther Luna Colombini
HAI
388
269
0
31 Mar 2021
1
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