210 related articles for article (PubMed ID: 33816967)
1. Online supervised attention-based recurrent depth estimation from monocular video.
Maslov D; Makarov I
PeerJ Comput Sci; 2020; 6():e317. PubMed ID: 33816967
[TBL] [Abstract][Full Text] [Related]
2. Self-supervised recurrent depth estimation with attention mechanisms.
Makarov I; Bakhanova M; Nikolenko S; Gerasimova O
PeerJ Comput Sci; 2022; 8():e865. PubMed ID: 35494794
[TBL] [Abstract][Full Text] [Related]
3. Deep Learning-Based Monocular Depth Estimation Methods-A State-of-the-Art Review.
Khan F; Salahuddin S; Javidnia H
Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32316336
[TBL] [Abstract][Full Text] [Related]
4. Joint Soft-Hard Attention for Self-Supervised Monocular Depth Estimation.
Fan C; Yin Z; Xu F; Chai A; Zhang F
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770263
[TBL] [Abstract][Full Text] [Related]
5. Monocular Depth Estimation with Self-Supervised Learning for Vineyard Unmanned Agricultural Vehicle.
Cui XZ; Feng Q; Wang SZ; Zhang JH
Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161463
[TBL] [Abstract][Full Text] [Related]
6. Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition.
Jung M; Lee H; Tani J
Neural Netw; 2018 Sep; 105():356-370. PubMed ID: 29936360
[TBL] [Abstract][Full Text] [Related]
7. Monocular Depth Estimation Using Deep Learning: A Review.
Masoumian A; Rashwan HA; Cristiano J; Asif MS; Puig D
Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35891033
[TBL] [Abstract][Full Text] [Related]
8. Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields.
Liu F; Shen C; Lin G; Reid I
IEEE Trans Pattern Anal Mach Intell; 2016 Oct; 38(10):2024-39. PubMed ID: 26660697
[TBL] [Abstract][Full Text] [Related]
9. Cycle-SfM: Joint self-supervised learning of depth and camera motion from monocular image sequences.
Sun Q; Tang Y; Zhao C
Chaos; 2019 Dec; 29(12):123102. PubMed ID: 31893644
[TBL] [Abstract][Full Text] [Related]
10. RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers.
Ibrahem H; Salem A; Kang HS
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632271
[TBL] [Abstract][Full Text] [Related]
11. Supervised Object-Specific Distance Estimation from Monocular Images for Autonomous Driving.
Davydov Y; Chen WH; Lin YC
Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433443
[TBL] [Abstract][Full Text] [Related]
12. Self-supervised Monocular Depth Estimation with 3D Displacement Module for Laparoscopic Images.
Xu C; Huang B; Elson DS
IEEE Trans Med Robot Bionics; 2022 May; 4(2):331-334. PubMed ID: 36148138
[TBL] [Abstract][Full Text] [Related]
13. Video Anomaly Detection Based on Convolutional Recurrent AutoEncoder.
Wang B; Yang C
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746427
[TBL] [Abstract][Full Text] [Related]
14. Object Detection and Depth Estimation Approach Based on Deep Convolutional Neural Networks.
Wang HM; Lin HY; Chang CC
Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300491
[TBL] [Abstract][Full Text] [Related]
15. A Comparison of Deep Neural Networks for Monocular Depth Map Estimation in Natural Environments Flying at Low Altitude.
Romero-Lugo A; Magadan-Salazar A; Fuentes-Pacheco J; Pinto-Elías R
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560196
[TBL] [Abstract][Full Text] [Related]
16. Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods.
Liu X; Sinha A; Ishii M; Hager GD; Reiter A; Taylor RH; Unberath M
IEEE Trans Med Imaging; 2020 May; 39(5):1438-1447. PubMed ID: 31689184
[TBL] [Abstract][Full Text] [Related]
17. Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation.
Shankaranarayana SM; Ram K; Mitra K; Sivaprakasam M
IEEE J Biomed Health Inform; 2019 Jul; 23(4):1417-1426. PubMed ID: 30762573
[TBL] [Abstract][Full Text] [Related]
18. SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation.
Almalioglu Y; Turan M; Saputra MRU; de Gusmão PPB; Markham A; Trigoni N
Neural Netw; 2022 Jun; 150():119-136. PubMed ID: 35313245
[TBL] [Abstract][Full Text] [Related]
19. MLDA-Net: Multi-Level Dual Attention-Based Network for Self-Supervised Monocular Depth Estimation.
Song X; Li W; Zhou D; Dai Y; Fang J; Li H; Zhang L
IEEE Trans Image Process; 2021; 30():4691-4705. PubMed ID: 33900917
[TBL] [Abstract][Full Text] [Related]
20. Self-supervised monocular depth estimation for gastrointestinal endoscopy.
Liu Y; Zuo S
Comput Methods Programs Biomed; 2023 Aug; 238():107619. PubMed ID: 37235969
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
