Interesting Papers

[kathirvelgounder]

Gonna put interesting papers and links I find here and also on Zotero once I figure that out:

[kathirvelgounder]

AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data https://arxiv.org/pdf/1907.07477.pdf

[kathirvelgounder]

DroNet: Efficient Convolutional Neural Network Detector for Real-Time UAV Applications https://arxiv.org/pdf/1807.06789.pdf

[kathirvelgounder]

Object Detection in 20 Years: A Survey https://arxiv.org/pdf/1905.05055.pdf

[kathirvelgounder]

RetinaNet ICCV Presentation, really clear presentation, recommend watching on two times speed https://www.youtube.com/watch?v=44tlnmmt3h0

[kathirvelgounder]

Object Detection Pioneer Talking about a Generalized Deep Learning Framework for object detection, very useful talk as we will probably use Faster_RCNN as our baseline: https://www.youtube.com/watch?v=m60uJVIE4Ys&t=2140s

[kathirvelgounder]

Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479331/

[kathirvelgounder]

Small Object Detection:

https://www.sciencedirect.com/science/article/abs/pii/S0262885620300421

https://www.hindawi.com/journals/jece/2020/3189691/

[kathirvelgounder]

UAV OnBoard Object Detection:

https://openaccess.thecvf.com/content_ECCVW_2018/papers/11130/Azimi_ShuffleDet_Real-Time_Vehicle_Detection_Network_in_On-board_Embedded_UAV_Imagery_ECCVW_2018_paper.pdf

[kathirvelgounder]

Aerial Imagery:

https://ieeexplore.ieee.org/abstract/document/8969620?casa_token=ZxBB827nWYkAAAAA:Jpy8UJp4kJvc1wTQDzHfdjOAlONan_GdKb4jzhlUNIBh8z9j8EInp74ON1gsQF_sQtwlTAbk