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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"
4488 条 记 录,以下是41-50 订阅
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Rugby Scene Classification Enhanced by vision Language Model
Rugby Scene Classification Enhanced by Vision Language Model
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Nonaka, Naoki Fujihira, Ryo Koshiba, Toshiki Maeda, Akira Seita, Jun RIKEN Informat R&D & Strategy Headquarters Adv Data Sci Project Wako Saitama Japan Hakata Knee & Sports Clin Fukuoka Japan
This study investigates the integration of vision language models (VLM) to enhance the classification of situations within rugby match broadcasts. The importance of accurately identifying situations in sports videos i... 详细信息
来源: 评论
Hairy Ground Truth Enhancement for Semantic Segmentation
Hairy Ground Truth Enhancement for Semantic Segmentation
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Fischer, Sophie Voiculescu, Irina Univ Oxford Dept Comp Sci Oxford England
Semantic segmentation is a key task within applications of machine learning for medical imaging, requiring large amounts of medical scans annotated by clinicians. The high cost of data annotation means that models nee... 详细信息
来源: 评论
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models
Strategies to Improve Real-World Applicability of Laparoscop...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kolbinger, Fiona R. He, Jiangpeng Ma, Jinge Zhu, Fengqing Purdue Univ W Lafayette IN 47907 USA
Accurate identification and localization of anatomical structures of varying size and appearance in laparoscopic imaging are necessary to leverage the potential of computer vision techniques for surgical decision supp... 详细信息
来源: 评论
ALINA: Advanced Line Identification and Notation Algorithm
ALINA: Advanced Line Identification and Notation Algorithm
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Khan, Mohammed Abdul Hafeez Ganeriwala, Parth Bhattacharyya, Siddhartha Neogi, Natasha Muthalagu, Raja Florida Inst Technol Melbourne FL 32901 USA NASA Langley Res Ctr Hampton VA 23665 USA BITS Pilani Dubai Campus Dubai U Arab Emirates
Labels are the cornerstone of supervised machine learning algorithms. Most visual recognition methods are fully supervised, using bounding boxes or pixel-wise segmentations for object localization. Traditional labelin... 详细信息
来源: 评论
De-noised vision-language Fusion Guided by Visual Cues for E-commerce Product Search
De-noised Vision-language Fusion Guided by Visual Cues for E...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hu, Zhizhang Li, Shasha Du, Ming Dhua, Arnab Gray, Douglas Univ Calif Merced Merced CA 95343 USA Amazon Visual Search & AR Seattle WA USA Amazon Seattle WA USA
In e-commerce applications, vision-language multimodal transformer models play a pivotal role in product search. The key to successfully training a multimodal model lies in the alignment quality of image-text pairs in... 详细信息
来源: 评论
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis
Enhancing Traffic Safety with Parallel Dense Video Captionin...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Shoman, Maged Wang, Dongdong Aboah, Armstrong Abdel-Aty, Mohamed Univ Cent Florida Dept Civil Environm & Construct Engn Smart & Safe Transportat SST Lab Orlando FL 32816 USA North Dakota State Univ Dept Civil Construct & Environm Engn Fargo ND USA Univ Cent Florida Joint Appointment Dept Comp Sci Dept Civil Environm & Construct Engn Smart & Safe Transportat SST Lab Orlando FL USA
This paper introduces our solution for Track 2 in AI City Challenge 2024. The task aims to solve traffic safety description and analysis with the dataset of Woven Traffic Safety (WTS), a real-world Pedestrian-Centric ... 详细信息
来源: 评论
ZInD-Tell: Towards Translating Indoor Panoramas into Descriptions
ZInD-Tell: Towards Translating Indoor Panoramas into Descrip...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Deb, Tonmoay Wang, Lichen Bessinger, Zachary Khosravan, Naji Penner, Eric Kang, Sing Bing Northwestern Univ Evanston IL 60208 USA Zillow Grp Seattle WA USA
This paper focuses on bridging the gap between natural language descriptions, 360 degrees panoramas, room shapes, and layouts/floorplans of indoor spaces. To enable new multimodal (image, geometry, language) research ... 详细信息
来源: 评论
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention
CUE-Net: Violence Detection Video Analytics with Spatial Cro...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Senadeera, Damith Chamalke Yang, Xiaoyun Kollias, Dimitrios Slabaugh, Gregory Queen Mary Univ London Sch Elect Engn & Comp Sci London England Queen Marys Digital Environm Res Inst DERI London England Remark AI UK Ltd London England
In this paper we introduce CUE-Net, a novel architecture designed for automated violence detection in video surveillance. As surveillance systems become more prevalent due to technological advances and decreasing cost... 详细信息
来源: 评论
Domain Targeted Synthetic Plant Style Transfer using Stable Diffusion, LoRA and ControlNet
Domain Targeted Synthetic Plant Style Transfer using Stable ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Hartley, Zane K. J. Lind, Rob J. Pound, Michael P. French, Andrew P. Univ Nottingham Wollaton Rd Nottingham NG8 1BB England Syngenta Jealotts Hill Int Res Ctr Warfield England
Synthetic images can help alleviate much of the cost in the creation of training data for plant phenotyping-focused AI development. Synthetic-to-real style transfer is of particular interest to users of artificial dat... 详细信息
来源: 评论
Classifier Guided Cluster Density Reduction for Dataset Selection
Classifier Guided Cluster Density Reduction for Dataset Sele...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chang, Cheng Long, Keyu Li, Zijian Rai, Himanshu Layer 6 AI Toronto ON Canada
In this paper, we address the challenge of selecting an optimal dataset from a source pool with annotations to enhance performance on a target dataset derived from a different source. This is important in scenarios wh... 详细信息
来源: 评论