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This paper presents TrashCan, a large dataset comprised of images of underwater trash collected from a variety of sources, annotated both using bounding boxes and segmentation labels, for development of robust detectors of marine debris.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2007
Earlier work this paper cites.
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
Earlier work this paper cites.
Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Detecting Japan Tsunami Marine Debris at Sea: A Synthesis of Efforts and Lessons-Learned | OR&R’s Marine Debris Program, Jan 2015
National Oceanic and Atmospheric Administration · 2015
Earlier work this paper cites.
Semi-automatic recognition of marine debris on beaches
Zhenpeng Ge, Huahong Shi, Xuefei Mei, Zhijun Dai, and Daoji Li · 2016
Earlier work this paper cites.
Submerged marine debris detection with autonomous underwater vehicles
M. Valdenegro-Toro · 2016
Cited alongside, same era.
Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Deep-sea Debris Database
Japan Agency for Marine Earth Science and Technology · 2018
Cited alongside, same era.
Extending Monocular Visual Odometry to Stereo Camera Systems by Scale optimization
Jiawei Mo and Junaed Sattar · 2019
Cited alongside, same era.
Robotic Detection of Marine Litter Using Deep Visual Detection Models
Michael Fulton, Jungseok Hong, Md Jahidul Islam, and Junaed Sattar · 2019
Later among the works it cites.
Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
Later among the works it cites.
A Generative Approach Towards Improved Robotic Detection of Marine Litter
Jungseok Hong and Junaed Sattar · 2020
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Supervise.ly
Supervisely · 2020
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