Results 71 to 80 of about 3,462,291 (207)

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Scalable Autoregressive Monocular Depth Estimation

open access: yes2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
This paper shows that the autoregressive model is an effective and scalable monocular depth estimator. Our idea is simple: We tackle the monocular depth estimation (MDE) task with an autoregressive prediction paradigm, based on two core designs. First, our depth autoregressive model (DAR) treats the depth map of different resolutions as a set of tokens,
Jinhong Wang   +7 more
openaire   +3 more sources

Underwater Vehicle Motion Parameters Estimation Simulation and Experiment Based on Monocular Vision and Low Cost Inertial Measurement Unit [PDF]

open access: yes, 2009
Li Q, Zhang Q, Wang X. Underwater Vehicle Motion Parameters Estimation Simulation and Experiment Based on Monocular Vision and Low Cost Inertial Measurement Unit.
Zhang, Qifeng   +2 more
core  

Adaptive confidence thresholding for monocular depth estimation

open access: yes, 2021
Self-supervised monocular depth estimation has become an appealing solution to the lack of ground truth labels, but its reconstruction loss often produces over-smoothed results across object boundaries and is incapable of handling occlusion explicitly ...
Hyesong Choi   +13 more
core   +1 more source

Attention-Based Monocular Depth Estimation Considering Global and Local Information in Remote Sensing Images

open access: yesRemote Sensing
Monocular depth estimation using a single remote sensing image has emerged as a focal point in both remote sensing and computer vision research, proving crucial in tasks such as 3D reconstruction and target instance segmentation.
Junwei Lv   +5 more
doaj   +1 more source

A Cable‐Driven Parallel Wire Robot for Probe Positioning and Tissue Palpation on Curved Phantoms

open access: yesAdvanced Intelligent Systems, EarlyView.
A wearable cable‐driven parallel robot is introduced for autonomous ultrasound probe positioning and soft tissue palpation on curved surfaces. By combining visual feedback with tension‐optimized control, the system achieves millimeter‐scale positioning accuracy while enforcing safety force constraints.
Christina Patterson   +2 more
wiley   +1 more source

Accurate unsupervised monocular depth estimation for ill-posed region

open access: yesFrontiers in Physics, 2023
Unsupervised monocular depth estimation is challenging in ill-posed regions, such as weak texture scenes, projection occlusion, and redundant error of detail information, etc.
Xiaofeng Wang   +6 more
doaj   +1 more source

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

open access: yesAdvanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang   +7 more
wiley   +1 more source

Data‐Driven Insights into Hyperkinetic Disorders in Neurodevelopmental Syndromes and Epileptic Encephalopathies

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background Childhood‐onset hyperkinetic movement disorders occur in a range of genetic conditions. Recently, there has been an increase in recognition of hyperkinetic movement disorders, mainly dystonia, chorea and dyskinesia, with monogenic conditions associated with neurodevelopmental delay (NDD) and also with developmental and epileptic ...
Hugo Morales‐Briceño   +6 more
wiley   +1 more source

Deciphering pixel insights: A deep dive into deep learning strategies for enhanced indoor depth estimation

open access: yesInternational Journal of Information Management Data Insights
Depth estimation is one of the crucial tasks for autonomous systems, which provides important information about the distance between the system and its surroundings.
Krisna Pinasthika   +4 more
doaj   +1 more source

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