Deep-learning Approaches to Object Recognition from 3D Data

Deep-learning Approaches to Object Recognition from 3D Data

Bibliographic Details
Main Author:	Chen, Zhiang
Language:	English
Published:	Case Western Reserve University School of Graduate Studies / OhioLINK 2017
Subjects:	Robotics Computer Science Nanoscience Medical Imaging deep learning 3D object recognition semi-supervised learning knowledge transfer
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=case1496303868914492

Similar Items

Image Recognition and Analysis of Intrauterine Residues Based on Deep Learning and Semi-Supervised Learning
by: Tao Tao, et al.
Published: (2020-01-01)

ETM: Effective Tuning Method Based on Multi-Objective and Knowledge Transfer in Image Recognition
by: Weichun Liu, et al.
Published: (2021-01-01)

Prior knowledge-based deep learning method for indoor object recognition and application
by: Xintao Ding, et al.
Published: (2018-01-01)

Study on Human Activity Recognition Using Semi-Supervised Active Transfer Learning
by: Seungmin Oh, et al.
Published: (2021-04-01)

Incremental Deep Learning for Robust Object Detection in Unknown Cluttered Environments
by: Dong Kyun Shin, et al.
Published: (2018-01-01)

A Comparative Study of Deep Learning Models for Diagnosing Glaucoma From Fundus Images
by: Manal Alghamdi, et al.
Published: (2021-01-01)

OVERVIEW OF COMPUTER VISION SUPERVISED LEARNING TECHNIQUES FOR LOW-DATA TRAINING
by: BURLACU, Alexandru
Published: (2020-12-01)

Design and Evaluation of Anthropomorphic Robotic Hand for Object Grasping and Shape Recognition
by: Rahul Raj Devaraja, et al.
Published: (2021-12-01)

SeBioGraph: Semi-supervised Deep Learning for the Graph via Sustainable Knowledge Transfer
by: Yugang Ma, et al.
Published: (2021-04-01)

State-of-the-Art Model for Music Object Recognition with Deep Learning
by: Zhiqing Huang, et al.
Published: (2019-06-01)

Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation
by: Joseph Enguehard, et al.
Published: (2019-01-01)

Semi-supervised Learning for Real-world Object Recognition using Adversarial Autoencoders
by: Mittal, Sudhanshu
Published: (2017)

Object Recognition in Very Low Resolution Images Using Deep Collaborative Learning
by: Jeongin Seo, et al.
Published: (2019-01-01)

Group approach to solving the tasks of recognition
by: Amirgaliyev Yedilkhan, et al.
Published: (2019-01-01)

Co-Training for Visual Object Recognition Based on Self-Supervised Models Using a Cross-Entropy Regularization
by: Gabriel Díaz, et al.
Published: (2021-04-01)

Semi-Supervised Medical Image Classification Combined with Unsupervised Deep Clustering
by: Lu, C., et al.
Published: (2023)

Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning
by: Zixing Zhang, et al.
Published: (2018-01-01)

Semi-Supervised Learning for Continuous Emotion Recognition Based on Metric Learning
by: Dong Yoon Choi, et al.
Published: (2020-01-01)

High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery
by: Jian Kang, et al.
Published: (2020-08-01)

A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving
by: Yanfen Li, et al.
Published: (2020-01-01)

Foreign object debris material recognition based on convolutional neural networks
by: Haoyu Xu, et al.
Published: (2018-04-01)

Klasifikasi Citra Daging Menggunakan Deep Learning dengan Optimisasi Hard Voting
by: Kade Bramasta Vikana Putra, et al.
Published: (2021-08-01)

A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection
by: Muhammad Rashid, et al.
Published: (2020-06-01)

Learning Individual Class Representation From Biased Multi-Label Data
by: Tserendorj Adiya, et al.
Published: (2021-01-01)

Par3DNet: Using 3DCNNs for Object Recognition on Tridimensional Partial Views
by: Francisco Gomez-Donoso, et al.
Published: (2020-05-01)

Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning
by: Obed Tettey Nartey, et al.
Published: (2020-05-01)

Knowledge Embedded Semi-Supervised Deep Learning for Detecting Non-Technical Losses in the Smart Grid
by: Xiaoquan Lu, et al.
Published: (2019-09-01)

Developing Sustainable Classification of Diseases via Deep Learning and Semi-Supervised Learning
by: Chunwu Yin, et al.
Published: (2020-08-01)

A Bootstrapping Approach With CRF and Deep Learning Models for Improving the Biomedical Named Entity Recognition in Multi-Domains
by: Juae Kim, et al.
Published: (2019-01-01)

Adaptive Template and Transition Map for Real-Time Video Object Segmentation
by: Hyojin Park, et al.
Published: (2021-01-01)

Towards Deep Object Detection Techniques for Phoneme Recognition
by: Mohammed Algabri, et al.
Published: (2020-01-01)

Generative Adversarial Networks-Based Semi-Supervised Automatic Modulation Recognition for Cognitive Radio Networks
by: Mingxuan Li, et al.
Published: (2018-11-01)

Embodied Object Representation Learning and Recognition
by: Çatal, O., et al.
Published: (2022)

3D Object Representation and Recognition Based on Biologically Inspired Combined Use of Visual and Tactile Data
by: Rouhafzay, Ghazal
Published: (2021)

A Deep Learning Iris Recognition Method Based on Capsule Network Architecture
by: Tianming Zhao, et al.
Published: (2019-01-01)

Tactile Object Recognition for Humanoid Robots Using New Designed Piezoresistive Tactile Sensor and DCNN
by: Somchai Pohtongkam, et al.
Published: (2021-09-01)

Weakly Supervised and Semi-Supervised Semantic Segmentation for Optic Disc of Fundus Image
by: Zheng Lu, et al.
Published: (2020-01-01)

HRRP Target Recognition With Deep Transfer Learning
by: Yi Wen, et al.
Published: (2020-01-01)

Recognition of Motion-blurred CCTs based on Deep and Transfer Learning
by: Yun Shi, et al.
Published: (2020-08-01)

Review of Deep Reinforcement Learning-Based Object Grasping: Techniques, Open Challenges, and Recommendations
by: Marwan Qaid Mohammed, et al.
Published: (2020-01-01)