LostNet: A smart way for lost and find

LostNet: A smart way for lost and find

5 January 2023

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Papers citing "LostNet: A smart way for lost and find"

14 / 14 papers shown

Title
R2FD2: Fast and Robust Matching of Multimodal Remote Sensing Image via Repeatable Feature Detector and Rotation-invariant Feature Descriptor B. Zhu Chao Yang Jinkun Dai Jianwei Fan Y. Ye 45 81 0 05 Dec 2022
Convolutional Hough Matching Networks Juhong Min Minsu Cho 104 67 0 31 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 2020
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 192 4,479 0 07 Nov 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 172 18,224 0 28 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 424 6,828 0 06 May 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 181 5,019 0 30 Jul 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 229 16,641 0 17 Jul 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 226 19,353 0 13 Jan 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 852 36,910 0 25 Aug 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 382 14,280 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy? Junghwan Cho Kyewook Lee Ellie Shin G. Choy Synho Do 83 336 0 19 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014