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Unmanned Aerial Vehicles (UAVs) are of crucial importance in search and rescue missions in maritime environments due to their flexible and fast operation capabilities.
The state-of-the-art in ship detection in synthetic aperture radar imagery. defence science and technology organization (dsto)
DJ Crisp · 2004
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A complete processing chain for ship detection using optical satellite imagery
Christina Corbane, Laurent Najman, Emilien Pecoul, Laurent Demagistri, and Michel Petit · 2010
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The prototype of gyro-stabilized uav gimbal for day-night surveillance
Karol Jedrasiak, Damian Bereska, and Aleksander Nawrat · 2013
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Nature conservation drones for automatic localization and counting of animals
Jan C van Gemert, Camiel R Verschoor, Pascal Mettes, Kitso Epema, Lian Pin Koh, and Serge Wich · 2014
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Fast r-cnn
Ross Girshick · 2015
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A review on marine search and rescue operations using unmanned aerial vehicles
SP Yeong, LM King, and SS Dol · 2015
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Determining position of target subjects in maritime search and rescue (msar) operations using rotary wing unmanned aerial vehicles (uavs)
Siti Nur Alidda Mohd Ghazali, Hardy Azmir Anuar, Syed Nasir Alsagoff Syed Zakaria, and Zaharin Yusoff · 2016
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Mot16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian Reid, Stefan Roth, and Konrad Schindler · 2016
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A benchmark and simulator for uav tracking
Matthias Mueller, Neil Smith, and Bernard Ghanem · 2016
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A large contextual dataset for classification, detection and counting of cars with deep learning
T Nathan Mundhenk, Goran Konjevod, Wesam A Sakla, and Kofi Boakye · 2016
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Combining human computing and machine learning to make sense of big (aerial) data for disaster response
Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Nicolas Rey, Julien Briant, Pauline Millet, Friedrich Reinhard, Matthew Parkan, et al · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi · 2016
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Unmanned vehicle collaboration research environment for maritime search and rescue
William Roberts, Kelly Griendling, Anthony Gray, and D Mavris · 2016
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Hyperspectral imaging: A review on uav-based sensors, data processing and applications for agriculture and forestry
Telmo Adão, Jonáš Hruška, Luís Pádua, José Bessa, Emanuel Peres, Raul Morais, and Joaquim Joao Sousa · 2017
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Drone-based object counting by spatially regularized regional proposal network
Meng-Ru Hsieh, Yen-Liang Lin, and Winston H Hsu · 2017
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Accuracy assessment on drone measured heights at different height levels
David L Kulhavy, I Hung, Daniel Unger, Yanli Zhang, et al · 2017
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Visual object tracking for unmanned aerial vehicles: A benchmark and new motion models
Siyi Li and Dit-Yan Yeung · 2017
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The zurich urban micro aerial vehicle dataset
András L Majdik, Charles Till, and Davide Scaramuzza · 2017
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Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
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Precise positioning of uavs-dealing with challenging rtk-gps measurement conditions during automated uav flights
F Zimmermann, C Eling, L Klingbeil, and H Kuhlmann · 2017
Cited alongside, same era.
The blackbird dataset: A large-scale dataset for uav perception in aggressive flight
Amado Antonini, Winter Guerra, Varun Murali, Thomas Sayre-McCord, and Sertac Karaman · 2018
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The unmanned aerial vehicle benchmark: Object detection and tracking
Dawei Du, Yuankai Qi, Hongyang Yu, Yifan Yang, Kaiwen Duan, Guorong Li, Weigang Zhang, Qingming Huang, and Qi Tian · 2018
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The potential use of unmanned aircraft systems (drones) in mountain search and rescue operations
Yunus Karaca, Mustafa Cicek, Ozgur Tatli, Aynur Sahin, Sinan Pasli, Muhammed Fatih Beser, and Suleyman Turedi · 2018
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The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems
Robert Krajewski, Julian Bock, Laurent Kloeker, and Lutz Eckstein · 2018
Are object detection assessment criteria ready for maritime computer vision?
Dilip K Prasad, Huixu Dong, Deepu Rajan, and Chai Quek · 2019
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Delving into robust object detection from unmanned aerial vehicles: A deep nuisance disentanglement approach
Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, and Zhangyang Wang · 2019
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Xingyi Zhou, Dequan Wang, and Philipp Kr”ahenb”uhl · 2019
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https://github.com/darkpgmr/DarkLabel
Darklabel video/image labeling and annotation tool · 2020
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Sardo: An automated search-and-rescue drone-based solution for victims localization
Antonio Albanese, Vincenzo Sciancalepore, and Xavier Costa-Pérez · 2020
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Cited alongside, same era.
Hsf-net: Multiscale deep feature embedding for ship detection in optical remote sensing imagery
Qingpeng Li, Lichao Mou, Qingjie Liu, Yunhong Wang, and Xiao Xiang Zhu · 2018
Cited alongside, same era.
Uav delivery monitoring system
Khin Thida San, Sun Ju Mun, Yeong Hun Choe, and Yoon Seok Chang · 2018
Cited alongside, same era.
Dota: A large-scale dataset for object detection in aerial images
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang · 2018
Cited alongside, same era.
Deep layer aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer, and Trevor Darrell · 2018
Cited alongside, same era.
Vision meets drones: A challenge
Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Ling, and Qinghua Hu · 2018
Cited alongside, same era.
Visdrone-det2018: The vision meets drone object detection in image challenge results
Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, et al · 2018
Cited alongside, same era.
Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixé · 2019
Cited alongside, same era.
Au-air: A multi-modal unmanned aerial vehicle dataset for low altitude traffic surveillance
Ilker Bozcan and Erdal Kayacan · 2020
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Probabilistic regression for visual tracking
Martin Danelljan, Luc Van Gool, and Radu Timofte · 2020
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Visdrone-mot2020: The vision meets drone multiple object tracking challenge results
Heng Fan, Dawei Du, Longyin Wen, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Arne Schumann, Bin Dong, et al · 2020
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Visdrone-sot2020: The vision meets drone single object tracking challenge results
Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Biao Wang, Bin Dong, Di Yuan, et al · 2020
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A new method to combine detection and tracking algorithms for fast and accurate human localization in uav-based sar operations
Eleftherios Lvsouras and Antonios Gasteratos · 2020
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Drone-surveillance for search and rescue in natural disaster
Balmukund Mishra, Deepak Garg, Pratik Narang, and Vipul Mishra · 2020
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Jorge Peña Queralta, Jenni Raitoharju, Tuan Nguyen Gia, Nikolaos Passalis, and Tomi Westerlund · 2020
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Efficientdet: Scalable and efficient object detection
Mingxing Tan, Ruoming Pang, and Quoc V Le · 2020
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Fairmot: On the fairness of detection and re-identification in multiple object tracking
Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, and Wenyu Liu · 2020
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Vision meets drones: Past, present and future
Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Qinghua Hu, and Haibin Ling · 2020
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https://www.sitemark.com/blog/accuracy
Aerial data accuracy – an experiment comparing 4 drone approaches · 2021
Closest in time.
https://www.kaggle.com/c/airbus-ship-detection
Airbus Ship Detection Challenge · 2021
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https://paperswithcode.com/sota/object-detection-on-coco
Object Detection on COCO test-dev · 2021
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Leveraging domain labels for object detection from uavs
Benjamin Kiefer, Martin Messmer, and Andreas Zell · 2021
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Gaining scale invariance in uav bird’s eye view object detection by adaptive resizing
Martin Messmer, Benjamin Kiefer, and Andreas Zell · 2021
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