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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8962 条 记 录,以下是261-270 订阅
排序:
ED-DCFNet: an unsupervised encoder-decoder neural model for event-driven feature extraction and object tracking
ED-DCFNet: an unsupervised encoder-decoder neural model for ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ramon, Raz Cohen-Duwek, Hadar Tsur, Elishai Ezra Open Univ Israel Dept Math & Comp Sci Neurobiomorph Engn Lab NBEL Raanana Israel
Neuromorphic cameras feature asynchronous event-based pixel-level processing and are particularly useful for object tracking in dynamic environments. Current approaches for feature extraction and optical flow with hig... 详细信息
来源: 评论
Disguised Faces in the Wild  31
Disguised Faces in the Wild
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kushwaha, Vineet Singh, Maneet Singh, Richa Vatsa, Mayank Ratha, Nalini Chellappa, Rama IIIT Delhi Delhi India IBM TJ Watson Res Ctr Ossining NY USA Univ Maryland College Pk MD 20742 USA
Existing research in the field of face recognition with variations due to disguises focuses primarily on images captured in controlled settings. Limited research has been performed on images captured in unconstrained ... 详细信息
来源: 评论
DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item Retrieval
DAtRNet: Disentangling Fashion Attribute Embedding for Subst...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bhattacharya, Gaurab Kilari, Nikhil Gubbi, Jayavardhana Lakshmi, Bagya, V Pal, Arpan Balamuralidhar, P. TCS Res Mumbai Maharashtra India
Interactive substitute recommendation for fashion products improves the online retail customer experience. Traditional fashion search platforms incorporate product metadata between the query products and the products ... 详细信息
来源: 评论
Zero-shot Learning Using Multimodal Descriptions
Zero-shot Learning Using Multimodal Descriptions
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mall, Utkarsh Hariharan, Bharath Bala, Kavita Cornell Univ Ithaca NY 14853 USA
Zero-shot learning (ZSL) tackles the problem of recognizing unseen classes using only semantic descriptions, e.g., attributes. Current zero-shot learning techniques all assume that a single vector of attributes suffic... 详细信息
来源: 评论
PAND: Precise Action recognition on Naturalistic Driving
PAND: Precise Action Recognition on Naturalistic Driving
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Hangyue Xiao, Yuchao Zhao, Yanyun Beijing Univ Posts & Telecommun Beijing Peoples R China Beijing Key Lab Network Syst & Network Culture Beijing Peoples R China
Temporal action localization for untrimmed videos is a difficult problem in computer vision. It is challenge to infer the start and end of activity instances on small-scale datasets covering multi-view information acc... 详细信息
来源: 评论
Encapsulating the impact of transfer learning, domain knowledge and training strategies in deep-learning based architecture: A biometric based case study  31
Encapsulating the impact of transfer learning, domain knowle...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Singh, Avantika Nigam, Aditya Indian Inst Technol Mandi Mandi India
In this paper, efforts have been made to analyze the impact of training strategies, transfer learning and domain knowledge on two biometric-based problems namely: three class oculus classification and fingerprint sens... 详细信息
来源: 评论
Why Object Detectors Fail: Investigating the Influence of the Dataset
Why Object Detectors Fail: Investigating the Influence of th...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Miller, Dimity Goode, Georgia Bennie, Callum Moghadam, Peyman Jurdak, Raja Queensland Univ Technol Brisbane Qld Australia CSIRO Data61 Robot & Autonomous Syst Melbourne Vic Australia
A false negative in object detection describes an object that was not correctly localised and classified by a detector. In prior work, we introduced five 'false negative mechanisms' that identify the specific ... 详细信息
来源: 评论
DNAS:A Decoupled Global Neural Architecture Search Method
DNAS:A Decoupled Global Neural Architecture Search Method
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Xu, Kepeng He, Gang Xidian Univ Xian Peoples R China Kuaishou Technol Beijing Peoples R China
Neural Architecture Search (NAS) can automatically design model architecture with better performance. Current researchers have searched for local architecture similar to block, then stacked to construct entire models,... 详细信息
来源: 评论
Conjugate Adder Net (CAddNet) - a Space-Efficient Approximate CNN
Conjugate Adder Net (CAddNet) - a Space-Efficient Approximat...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shen, Lulan Ziaeefard, Maryam Meyer, Brett Gross, Warren Clark, James J. McGill Univ Montreal PQ Canada
The AdderNet was recently developed as a way to implement deep neural networks without needing multiplication operations to combine weights and inputs. Instead, absolute values of the difference between weights and in... 详细信息
来源: 评论
Automatic Play Segmentation of Hockey Videos
Automatic Play Segmentation of Hockey Videos
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Pidaparthy, Hemanth Dowling, Michael H. Elder, James H. York Univ N York ON Canada Queens Univ Kingston ON Canada
Most team sports such as hockey involve periods of active play interleaved with breaks in play. When watching a game remotely, many fans would prefer an abbreviated game showing only periods of active play. Here we ad... 详细信息
来源: 评论