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检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"
54083 条 记 录,以下是4631-4640 订阅
排序:
Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations
Explainability Tools Enabling Deep Learning in Future In-Sit...
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ieee Aerospace conference (AERO)
作者: Lundstrom, Daniel Huyen, Alexander Mevada, Arya Yun, Kyongsik Lu, Thomas Univ Southern Calif 3620 S Vermont AveKAP 104 Los Angeles CA 90089 USA CALTECH Jet Prop Lab 4800 Oak Grove Dr Pasadena CA 91109 USA CALTECH 1200 E Calif Blvd MSC 643 Pasadena CA 91125 USA
Deep learning (DL) has proven to be an effective machine learning and computer vision technique. DL-based image segmentation, object recognition and classification will aid many in-situ Mars rover tasks such as path p... 详细信息
来源: 评论
Autonomous Mobile Robot as a Cyber-Physical System Featuring Networked Deep Learning and Control
Autonomous Mobile Robot as a Cyber-Physical System Featuring...
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ieee/ASME International conference on Advanced Intelligent Mechatronics (AIM)
作者: Lin, Hong-Zhi Chen, Hsin-Hung Choophutthakan, Kerk Li, Chih-Hung G. Natl Taipei Univ Technol Grad Inst Mech Engn Taipei 10608 Taiwan Natl Taipei Univ Technol Grad Inst Mfg Technol Taipei 10608 Taiwan
In this article, we proposed an autonomous mobile robot (AMR) capable of conducting multiple deep learning inferences by a computing network as a Cyber-Physical System (CPS). In view of industry 4.0, a five-layered CP... 详细信息
来源: 评论
MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
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ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)
作者: Qiu, Zhaofan Yao, Ting Ngo, Chong-Wah Mei, Tao JD Explore Acad Beijing Peoples R China Singapore Management Univ Singapore Singapore
Convolutional Neural Networks (CNNs) have been regarded as the go-to models for visual recognition. More recently, convolution-free networks, based on multi-head self-attention (MSA) or multi-layer perceptrons (MLPs),... 详细信息
来源: 评论
Compression of Ultra High Definition Image based on K-means Clustering Algorithm
Compression of Ultra High Definition Image based on K-means ...
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information Technology,Big Data and Artificial Intelligence (ICIBA), International conference on ieee International conference on
作者: Pengbo Wang Shanghai Zhongqiao Vocational and Technical University Shanghai China
Image compression plays a key role in contemporary digital environments given the escalating influx of visual data on the Internet. In this study, the K-means clustering algorithm is adopted for Ultra High Definition ... 详细信息
来源: 评论
Self-supervised Wide Baseline Visual Servoing via 3D Equivariance
Self-supervised Wide Baseline Visual Servoing via 3D Equivar...
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ieee/RSJ International conference on Intelligent Robots and Systems (IROS)
作者: Huh, Jinwook Hong, Jungseok Garg, Suveer Park, Hyun Soo Isler, Volkan Samsung AI Ctr NY 837 Washington St New York NY 10014 USA
One of the challenging input settings for visual servoing is when the initial and goal camera views are far apart. Such settings are difficult because the wide baseline can cause drastic changes in object appearance a... 详细信息
来源: 评论
TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration
TransDARC: Transformer-based Driver Activity Recognition wit...
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ieee/RSJ International conference on Intelligent Robots and Systems (IROS)
作者: Peng, Kunyu Roitberg, Alina Yang, Kailun Zhang, Jiaming Stiefelhagen, Rainer Karlsruhe Inst Technol Inst Anthropomat & Robot Karlsruhe Germany
Traditional video-based human activity recognition has experienced remarkable progress linked to the rise of deep learning, but this effect was slower as it comes to the downstream task of driver behavior understandin... 详细信息
来源: 评论
Research and Application of LDA-Based Topic Modelling and Co-Occurrence Semantic Web Analysis
Research and Application of LDA-Based Topic Modelling and Co...
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Sensors, Electronics and Computer Engineering (ICSECE), ieee International conference on
作者: Ruotong Wang Communication University of China Beijing China
This article focuses on two important text analysis methods, LDA topic modelling and co-occurrence semantic network analysis. Firstly, the article introduces how the LDA topic model, as an unsupervised learning tool, ... 详细信息
来源: 评论
Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer
Training Object Detectors from Scratch: An Empirical Study i...
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ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)
作者: Hong, Weixiang Lao, Jiangwei Ren, Wang Wang, Jian Chen, Jingdong Chu, Wei Ant Grp Hangzhou Peoples R China
Modeling in computer vision has long been dominated by convolutional neural networks (CNNs). Recently, in light of the excellent performances of self-attention mechanism in the language field, transformers tailored fo... 详细信息
来源: 评论
MoESR: Blind Super-Resolution using Kernel-Aware Mixture of Experts  22
MoESR: Blind Super-Resolution using Kernel-Aware Mixture of ...
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22nd ieee/CVF Winter conference on Applications of Computer Vision (WACV)
作者: Emad, Mohammad Peemen, Maurice Corporaal, Henk Eindhoven Univ Technol Eindhoven Netherlands Thermo Fisher Sci Bleiswijk Netherlands
Modern deep learning super-resolution approaches have achieved remarkable performance where the low-resolution (LR) input is a degraded high-resolution (HR) image by a fixed known kernel i.e. kernel-specific super-res... 详细信息
来源: 评论
Robust Region Feature Synthesizer for Zero-Shot Object Detection
Robust Region Feature Synthesizer for Zero-Shot Object Detec...
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ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)
作者: Huang, Peiliang Han, Junwei Cheng, De Zhang, Dingwen Northwestern Polytech Univ Sch Automat Brain & Artificial Intelligence Lab Xian Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Sch Telecommun Engn Xian Peoples R China
Zero-shot object detection aims at incorporating class semantic vectors to realize the detection of (both seen and) unseen classes given an unconstrained test image. In this study, we reveal the core challenges in thi... 详细信息
来源: 评论