YOLOv7 for Mosquito Breeding Grounds Detection and Tracking

16 October 2023

Papers citing "YOLOv7 for Mosquito Breeding Grounds Detection and Tracking"

6 / 6 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
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss Debapriya Maji S. Nagori Manu Mathew Deepak Poddar 3DH 114 231 0 14 Apr 2022
Automatic Detection of Aedes aegypti Breeding Grounds Based on Deep Networks with Spatio-Temporal Consistency Wesley L. Passos G. Araujo Amaro A. de Lima S. L. Netto Eduardo A. B. da Silva 51 20 0 29 Jul 2020
YOLO9000: Better, Faster, Stronger Joseph Redmon Ali Farhadi VLM ObjD 183 15,641 0 25 Dec 2016
Seq-NMS for Video Object Detection Wei Han Pooya Khorrami T. Paine Prajit Ramachandran Mohammad Babaeizadeh Humphrey Shi Jianan Li Shuicheng Yan Thomas S. Huang 59 301 0 26 Feb 2016
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 434 43,875 0 01 May 2014