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检索条件"任意字段=2006 Conference on Computer Vision and Pattern Recognition Workshops"
5387 条 记 录,以下是501-510 订阅
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3D Point Cloud Instance Segmentation of Lettuce Based on PartNet
3D Point Cloud Instance Segmentation of Lettuce Based on Par...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Luhan Zheng, Lihua Wang, Minjuan China Agr Univ Key Lab Smart Agr Syst Minist Educ Beijing 100083 Peoples R China
Organ level instance segmentation (e.g., individual leaves) based on computer vision techniques is a key step in the measurement of plant phenotypes. Since plant organs, especially leaves, are self-occluded and emerge... 详细信息
来源: 评论
Exploring Joint Embedding Architectures and Data Augmentations for Self-Supervised Representation Learning in Event-Based vision
Exploring Joint Embedding Architectures and Data Augmentatio...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Barchid, Sami Mennesson, José Djéraba, Chaabane Univ. Lille Cnrs Centrale Lille Umr 9189 CRIStAL France Univ. Lille Centre for Digital Systems Imt Nord Europe Institut Mines-Télécom LilleF-59000 France
This paper proposes a self-supervised representation learning (SSRL) framework for event-based vision, which leverages various lightweight convolutional neural networks (CNNs) including 2D-, 3D-, and Spiking CNNs. The... 详细信息
来源: 评论
CelebV-Text: A Large-Scale Facial Text-Video Dataset
CelebV-Text: A Large-Scale Facial Text-Video Dataset
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yu, Jianhui Zhu, Hao Jiang, Liming Loy, Chen Change Cai, Weidong Wu, Wayne Univ Sydney Sydney NSW 2006 Australia SenseTime Res Hong Kong Peoples R China Nanyang Technol Univ S Lab Singapore Singapore Shanghai AI Lab Shanghai Peoples R China
Text-driven generation models are flourishing in video generation and editing. However, face-centric text-to-video generation remains a challenge due to the lack of a suitable dataset containing high-quality videos an... 详细信息
来源: 评论
Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery
Cross-modal Image Synthesis within Dual-Energy X-ray Securit...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Isaac-Medina, Brian K. S. Bhowmik, Neelanjan Willcocks, Chris G. Breckon, Toby P. Univ Durham Dept Comp Sci Durham England Univ Durham Dept Engn Durham England
Dual-energy X-ray scanners are used for aviation security screening given their capability to discriminate materials inside passenger baggage. To facilitate manual operator inspection, a pseudo-colouring is assigned t... 详细信息
来源: 评论
Unpaired Face Restoration via Learnable Cross-Quality Shift
Unpaired Face Restoration via Learnable Cross-Quality Shift
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Dong, Yangyi Zhang, Xiaoyun Wang, Zhixin Zhang, Ya Chen, Siheng Wang, Yanfeng Shanghai Jiao Tong Univ Cooperat Medianet Innovat Ctr Shanghai Peoples R China Shanghai AI Lab Shanghai Peoples R China
Face restoration aims to recover high-quality (HQ) face images from low-quality (LQ) ones with various unknown degradations. Unpaired face restoration approaches focus on the adaptation to unseen degradations, which i... 详细信息
来源: 评论
Beyond AUROC & co. for evaluating out-of-distribution detection performance
Beyond AUROC & co. for evaluating out-of-distribution detect...
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Humblot-Renaux, Galadrielle Escalera, Sergio Moeslund, Thomas B. Aalborg University Visual Analysis and Perception Lab Denmark Universitat Autònoma de Barcelona Computer Vision Center Spain Universitat de Barcelona Dept. of Mathematics and Informatics Spain
While there has been a growing research interest in developing out-of-distribution (OOD) detection methods, there has been comparably little discussion around how these methods should be evaluated. Given their relevan...
来源: 评论
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing
ConZIC: Controllable Zero-shot Image Captioning by Sampling-...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Zeng, Zequn Zhang, Hao Lu, Ruiying Wang, Dongsheng Chen, Bo Xidian Univ Natl Key Lab Radar Signal Proc Xian 710071 Peoples R China
Zero-shot capability has been considered as a new revolution of deep learning, letting machines work on tasks without curated training data. As a good start and the only existing outcome of zero-shot image captioning ... 详细信息
来源: 评论
Does Interference Exist When Training a Once-For-All Network?
Does Interference Exist When Training a Once-For-All Network...
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shipard, Jordan Wiliem, Arnold Fookes, Clinton Queensland Univ Technol Signal Proc Artificial Intelligence & Vis Technol Brisbane Qld Australia Sentient Vis Syst Port Melbourne Vic Australia
The Once-For-All (OFA) method offers an excellent pathway to deploy a trained neural network model into multiple target platforms by utilising the supernet-subnet architecture. Once trained, a subnet can be derived fr... 详细信息
来源: 评论
Making the V in Text-VQA Matter
Making the V in Text-VQA Matter
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2023 IEEE/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Hegde, Shamanthak Jahagirdar, Soumya Gangisetty, Shankar Kle Technological University Hubballi India Cvit Iiit Hyderabad Hyderabad India Iiit Hyderabad Hyderabad India
Text-based VQA aims at answering questions by reading the text present in the images. It requires a large amount of scene-text relationship understanding compared to the VQA task. Recent studies have shown that the qu... 详细信息
来源: 评论
UIGR: Unified Interactive Garment Retrieval
UIGR: Unified Interactive Garment Retrieval
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IEEE/CVF conference on computer vision and pattern recognition (CVPR)
作者: Han, Xiao He, Sen Zhang, Li Song, Yi-Zhe Xiang, Tao Univ Surrey CVSSP Guildford Surrey England iFlyTek Surrey Joint Res Ctr Artificial Intellige Guildford Surrey England Fudan Univ Sch Data Sci Shanghai Peoples R China
Interactive garment retrieval (IGR) aims to retrieve a target garment image based on a reference garment image along with user feedback on what to change on the reference garment. Two IGR tasks have been studied exten... 详细信息
来源: 评论