Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Lv, Wenyu"'
In this report, we present RT-DETRv2, an improved Real-Time DEtection TRansformer (RT-DETR). RT-DETRv2 builds upon the previous state-of-the-art real-time detector, RT-DETR, and opens up a set of bag-of-freebies for flexibility and practicality, as w
Externí odkaz:
http://arxiv.org/abs/2407.17140
Autor:
Zhao, Yian, Lv, Wenyu, Xu, Shangliang, Wei, Jinman, Wang, Guanzhong, Dang, Qingqing, Liu, Yi, Chen, Jie
The YOLO series has become the most popular framework for real-time object detection due to its reasonable trade-off between speed and accuracy. However, we observe that the speed and accuracy of YOLOs are negatively affected by the NMS. Recently, en
Externí odkaz:
http://arxiv.org/abs/2304.08069
Autor:
Xu, Shangliang, Wang, Xinxin, Lv, Wenyu, Chang, Qinyao, Cui, Cheng, Deng, Kaipeng, Wang, Guanzhong, Dang, Qingqing, Wei, Shengyu, Du, Yuning, Lai, Baohua
In this report, we present PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment. We optimize on the basis of the previous PP-YOLOv2, using anchor-free paradigm, more powerful backbone and neck equippe
Externí odkaz:
http://arxiv.org/abs/2203.16250
Autor:
Yu, Guanghua, Chang, Qinyao, Lv, Wenyu, Xu, Chang, Cui, Cheng, Ji, Wei, Dang, Qingqing, Deng, Kaipeng, Wang, Guanzhong, Du, Yuning, Lai, Baohua, Liu, Qiwen, Hu, Xiaoguang, Yu, Dianhai, Ma, Yanjun
The better accuracy and efficiency trade-off has been a challenging problem in object detection. In this work, we are dedicated to studying key optimizations and neural network architecture choices for object detection to improve accuracy and efficie
Externí odkaz:
http://arxiv.org/abs/2111.00902
Publikováno v:
In Process Safety and Environmental Protection July 2024 187:1366-1377
Autor:
Huang, Xin, Wang, Xinxin, Lv, Wenyu, Bai, Xiaying, Long, Xiang, Deng, Kaipeng, Dang, Qingqing, Han, Shumin, Liu, Qiwen, Hu, Xiaoguang, Yu, Dianhai, Ma, Yanjun, Yoshie, Osamu
Being effective and efficient is essential to an object detector for practical use. To meet these two concerns, we comprehensively evaluate a collection of existing refinements to improve the performance of PP-YOLO while almost keep the infer time un
Externí odkaz:
http://arxiv.org/abs/2104.10419
Autor:
Gu, Xinyu, Chen, Xun, Zhang, Xuan, Liu, Keli, Li, Jing-Jing, Lv, Wenyu, Zeng, Lei, Wu, Mingjuan, Zhou, Weibin, Wang, Weifa, Shi, Shunhua, Deng, Yicheng, Li, Yunhua, Gao, Xinbo, Ju, Rong, Dubrac, Alexandre, Liu, Xialin, Zhang, Feng
Publikováno v:
In Cell Reports 27 February 2024 43(2)
Publikováno v:
In Materials Today Communications December 2023 37
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