Cargando…

RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers

The latest research in computer vision highlighted the effectiveness of the vision transformers (ViT) in performing several computer vision tasks; they can efficiently understand and process the image globally unlike the convolution which processes the image locally. ViTs outperform the convolutiona...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ibrahem, Hatem, Salem, Ahmed, Kang, Hyun-Soo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143167/ https://www.ncbi.nlm.nih.gov/pubmed/35632271 http://dx.doi.org/10.3390/s22103849

Ejemplares similares

Gait-ViT: Gait Recognition with Vision Transformer
por: Mogan, Jashila Nair, et al.
Publicado: (2022)

HGR-ViT: Hand Gesture Recognition with Vision Transformer
por: Tan, Chun Keat, et al.
Publicado: (2023)

The classification of the bladder cancer based on Vision Transformers (ViT)
por: Khedr, Ola S., et al.
Publicado: (2023)

DTS-Depth: Real-Time Single-Image Depth Estimation Using Depth-to-Space Image Construction
por: Ibrahem, Hatem, et al.
Publicado: (2022)

PLG-ViT: Vision Transformer with Parallel Local and Global Self-Attention
por: Ebert, Nikolas, et al.
Publicado: (2023)

Lightweight ViT Model for Micro-Expression Recognition Enhanced by Transfer Learning
por: Liu, Yanju, et al.
Publicado: (2022)

PF-ViT: Parallel and Fast Vision Transformer for Offline Handwritten Chinese Character Recognition
por: Dan, Yongping, et al.
Publicado: (2022)

Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer
por: Lee, Chin Poo, et al.
Publicado: (2023)

Monocular Depth Estimation: Lightweight Convolutional and Matrix Capsule Feature-Fusion Network
por: Wang, Yinchu, et al.
Publicado: (2022)

Gait-CNN-ViT: Multi-Model Gait Recognition with Convolutional Neural Networks and Vision Transformer
por: Mogan, Jashila Nair, et al.
Publicado: (2023)

MC-ViT: Multi-path cross-scale vision transformer for thymoma histopathology whole slide image typing
por: Zhang, Huaqi, et al.
Publicado: (2022)

Conv-ViT: A Convolution and Vision Transformer-Based Hybrid Feature Extraction Method for Retinal Disease Detection
por: Dutta, Pramit, et al.
Publicado: (2023)

Deep Monocular Depth Estimation Based on Content and Contextual Features
por: Abdulwahab, Saddam, et al.
Publicado: (2023)

Monocular Depth Estimation Using Deep Learning: A Review
por: Masoumian, Armin, et al.
Publicado: (2022)

Monocular Robust Depth Estimation Vision System for Robotic Tasks Interventions in Metallic Targets
por: Veiga Almagro, Carlos, et al.
Publicado: (2019)

Monocular Robust Depth Estimation Vision System for Robotic Tasks Interventions in Metallic Targets †
por: Veiga Almagro, Carlos, et al.
Publicado: (2019)

Vision Transformers (ViT) for Blanket-Penetrating Sleep Posture Recognition Using a Triple Ultra-Wideband (UWB) Radar System
por: Lai, Derek Ka-Hei, et al.
Publicado: (2023)

Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios †
por: Papa, Lorenzo, et al.
Publicado: (2023)

Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT
por: Zhao, Chen, et al.
Publicado: (2022)

DTS-Net: Depth-to-Space Networks for Fast and Accurate Semantic Object Segmentation
por: Ibrahem, Hatem, et al.
Publicado: (2022)

High quality monocular depth estimation with parallel decoder
por: Liu, Jiatao, et al.
Publicado: (2022)

Nested DWT–Based CNN Architecture for Monocular Depth Estimation
por: Paul, Sandip, et al.
Publicado: (2023)

Factors affecting depth perception and comparison of depth perception measured by the three-rods test in monocular and binocular vision
por: Iehisa, Ikko, et al.
Publicado: (2020)

Scale Factor Estimation for Quadrotor Monocular-Vision Positioning Algorithms
por: Gómez-Casasola, Alejandro, et al.
Publicado: (2022)

Train Distance Estimation in Turnout Area Based on Monocular Vision
por: Hao, Yang, et al.
Publicado: (2023)

Unsupervised Monocular Depth Estimation for Colonoscope System Using Feedback Network
por: Hwang, Seung-Jun, et al.
Publicado: (2021)

DCPNet: A Densely Connected Pyramid Network for Monocular Depth Estimation
por: Lai, Zhitong, et al.
Publicado: (2021)

Joint Soft–Hard Attention for Self-Supervised Monocular Depth Estimation
por: Fan, Chao, et al.
Publicado: (2021)

Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments
por: Fonder, Michaël, et al.
Publicado: (2022)

GFI-Net: Global Feature Interaction Network for Monocular Depth Estimation
por: Zhang, Cong, et al.
Publicado: (2023)

LEOD-Net: Learning Line-Encoded Bounding Boxes for Real-Time Object Detection
por: Ibrahem, Hatem, et al.
Publicado: (2022)

Primary Lamellar Macular Holes: To Vit or Not to Vit
por: Wu, Lihteh, et al.
Publicado: (2022)

ViTT: Vision Transformer Tracker
por: Zhu, Xiaoning, et al.
Publicado: (2021)

Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT-CNN Ensemble Model
por: Jiang, Zhencun, et al.
Publicado: (2021)

An Innovative Solution Based on TSCA-ViT for Osteosarcoma Diagnosis in Resource-Limited Settings
por: He, Zengxiao, et al.
Publicado: (2023)

CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection
por: Sharif, Md. Haidar, et al.
Publicado: (2023)

FibroVit—Vision transformer-based framework for detection and classification of pulmonary fibrosis from chest CT images
por: Waseem Sabir, Muhammad, et al.
Publicado: (2023)

Real-Time 3D Reconstruction Method Based on Monocular Vision
por: Jia, Qingyu, et al.
Publicado: (2021)

Non-Rigid Structure Estimation in Trajectory Space from Monocular Vision
por: Wang, Yaming, et al.
Publicado: (2015)

Pose Estimation of Excavator Manipulator Based on Monocular Vision Marker System
por: Zhao, Jiangying, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_g2dn1f7m9fj4asg2amhbn54saf