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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"
4491 条 记 录,以下是111-120 订阅
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Comparison of deep transfer learning strategies for digital pathology  31
Comparison of deep transfer learning strategies for digital ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mormont, Romain Geurts, Pierre Maree, Raphael Univ Liege Liege Belgium
In this paper, we study deep transfer learning as a way of overcoming object recognition challenges encountered in the field of digital pathology. Through several experiments, we investigate various uses of pre-traine... 详细信息
来源: 评论
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
Neural Architecture Search of Deep Priors: Towards Continual...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mundt, Martin Pliushch, Iuliia Ramesh, Visvanathan Goethe Univ Frankfurt Germany
In this paper we analyze the classification performance of neural network structures without parametric inference. Making use of neural architecture search, we empirically demonstrate that it is possible to find rando... 详细信息
来源: 评论
Estimating (and fixing) the Effect of Face Obfuscation in Video recognition
Estimating (and <i>fixing</i>) the Effect of Face Obfuscatio...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Tomei, Matteo Baraldi, Lorenzo Bronzin, Simone Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy Metaliquid Srl Milan Italy
Recent research has shown that faces can be obfuscated in large-scale datasets with a minimal performance impact on image classification and downstream tasks like object recognition. In this paper, we investigate the ... 详细信息
来源: 评论
Variational Autoencoders for Generating Hyperspectral Imaging Honey Adulteration Data
Variational Autoencoders for Generating Hyperspectral Imagin...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Phillips, Tessa Abdulla, Waleed Univ Auckland Auckland New Zealand
Honey fraud and adulteration are an increasing concern globally. Hyperspectral imaging and machine learning can detect adulterated honey within a known set of honey, where we have captured data at different sugar conc... 详细信息
来源: 评论
Robustness and Adaptation to Hidden Factors of Variation
Robustness and Adaptation to Hidden Factors of Variation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Paul, William Burlina, Philippe Johns Hopkins Univ Appl Phys Lab Laurel MD 20723 USA
We tackle here a specific, still not widely addressed aspect, of AI robustness, which consists of seeking invariance / insensitivity of model performance to hidden factors of variations in the data. Towards this end, ... 详细信息
来源: 评论
Contrastive Learning for Natural Language-Based Vehicle Retrieval
Contrastive Learning for Natural Language-Based Vehicle Retr...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Tam Minh Nguyen Quang Huu Pham Linh Bao Doan Hoang Viet Trinh Viet-Anh Nguyen Viet-Hoang Phan Sun Asterisk Inc R&D Lab AI Res Team Tokyo Japan Hanoi Univ Sci & Technol Hanoi Vietnam
AI City Challenge 2021 Task 5: The Natural Language-Based Vehicle Tracking is a Natural Language-based Vehicle Retrieval task, which requires retrieving a single-camera track using a set of three natural language desc... 详细信息
来源: 评论
MV-TAL: Mulit-view Temporal Action Localization in Naturalistic Driving
MV-TAL: Mulit-view Temporal Action Localization in Naturalis...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Li, Wei Chen, Shimin Gu, Jianyang Wang, Ning Chen, Chen Guo, Yandong OPPO Res Inst Beijing Peoples R China Zhejiang Univ Hangzhou Peoples R China East China Univ Sci & Technol Shanghai Peoples R China
Human risky behavior in driving is an important visual recognition problem. In this paper, we propose a multi-view temporal action localization system based on the grayscale video to achieve action recognition in natu... 详细信息
来源: 评论
Towards Domain-Specific Explainable AI: Model Interpretation of a Skin Image Classifier using a Human Approach
Towards Domain-Specific Explainable AI: Model Interpretation...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Stieler, Fabian Rabe, Fabian Bauer, Bernhard Univ Augsburg Augsburg Germany
Machine Learning models have started to outperform medical experts in some classification tasks. Meanwhile, the question of how these classifiers produce certain results is attracting increasing research attention. Cu... 详细信息
来源: 评论
User-Guided Variable Rate Learned Image Compression
User-Guided Variable Rate Learned Image Compression
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gupta, Rushil Suryateja, B., V Kapoor, Nikhil Jaiswal, Rajat Nangi, Sharmila Kulkarni, Kuldeep Adobe Res Bengaluru India Indian Inst Technol Delhi Delhi India Stanford Univ Stanford CA 94305 USA
We propose a learning-based image compression method that achieves any arbitrary input bitrate via user-guided bit allocation to preferred regions. We verify our hypothesis of incorporating user guidance for bitrate c... 详细信息
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Robust and Online Vehicle Counting at Crowded Intersections
Robust and Online Vehicle Counting at Crowded Intersections
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lu, Jincheng Xia, Meng Gao, Xu Yang, Xipeng Tao, Tianran Meng, Hao Zhang, Wei Tan, Xiao Shi, Yifeng Li, Guanbin Ding, Errui
In this paper, we propose an online movement-specific vehicle counting system to realize robust traffic flow analysis at crowded intersections. Our proposed framework adopts PP-YOLO as the vehicle detector and adapts ... 详细信息
来源: 评论