Locally Grouped and Scale-Guided Attention for Dense Pest Counting

Locally Grouped and Scale-Guided Attention for Dense Pest Counting

29 August 2024

Chang-Hwan Son

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Papers citing "Locally Grouped and Scale-Guided Attention for Dense Pest Counting"

10 / 10 papers shown

Title
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Chien-Yao Wang Alexey Bochkovskiy H. Liao ObjD 170 6,571 0 06 Jul 2022
YOLOX: Exceeding YOLO Series in 2021 Zheng Ge Songtao Liu Feng Wang Zeming Li Jian Sun ObjD 165 4,105 0 18 Jul 2021
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 180 1,223 0 21 Oct 2019
Objects as Points Xingyi Zhou Dequan Wang Philipp Krahenbuhl 3DPC 122 3,260 0 16 Apr 2019
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 227 16,604 0 17 Jul 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,568 0 05 Sep 2017
Automatic Moth Detection from Trap Images for Pest Management Weiguang Ding Graham W. Taylor 55 310 0 24 Feb 2016
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 742 37,033 0 08 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 437 43,875 0 01 May 2014

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