Results 111 to 120 of about 26,254 (190)
Attention-Based Grasp Detection With Monocular Depth Estimation
IEEE AccessGrasp detection plays a pivotal role in robotic manipulation, allowing robots to interact with and manipulate objects in their surroundings. Traditionally, this has relied on three-dimensional (3D) point cloud data acquired from specialized depth cameras.
Phan Xuan Tan +15 more
doaj +1 more source
Applied Computer SystemsMonocular depth estimation is one of the essential tasks in computer vision as it can provide depth information from 2D images and is extremely beneficial for applications such as autonomous driving, robot navigation, etc.
Kumara Lakindu +2 more
doaj +1 more source
Nested DWT-Based CNN Architecture for Monocular Depth Estimation. [PDF]
Sensors (Basel), 2023 Paul S, Mishra D, Marimuthu SK.
europepmc +1 more source
Deep Monocular Depth Estimation Based on Content and Contextual Features. [PDF]
Sensors (Basel), 2023 Abdulwahab S +4 more
europepmc +1 more source
Self-supervised monocular depth estimation for high field of view colonoscopy cameras. [PDF]
Front Robot AI, 2023 Mathew A +3 more
europepmc +1 more source
Confidence-aware self-supervised learning for dense monocular depth estimation in dynamic laparoscopic scene. [PDF]
Sci Rep, 2023 Hirohata Y +4 more
europepmc +1 more source
GFI-Net: Global Feature Interaction Network for Monocular Depth Estimation. [PDF]
Entropy (Basel), 2023 Zhang C, Xu K, Ma Y, Wan J.
europepmc +1 more source
High quality monocular depth estimation with parallel decoder. [PDF]
Sci Rep, 2022 Liu J, Zhang Y.
europepmc +1 more source
Monocular Depth Estimation Using Deep Learning: A Review. [PDF]
Sensors (Basel), 2022 Masoumian A +4 more
europepmc +1 more source
What makes the unsupervised monocular depth estimation (UMDE) model training better. [PDF]
Sci Rep, 2022 Wang X, Liang B, Yang M, Li W.
europepmc +1 more source