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Samsung Advanced Institute of Technology (SAIT)
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C3: Concentrated-comprehensive convolution and its application to semantic segmentation
H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak
arXiv preprint arXiv:1812.04920, 2018
272018
Concentrated-comprehensive convolutions for lightweight semantic segmentation
H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak
arXiv preprint arXiv:1812.04920, 2018
132018
C3: Concentrated-comprehensive convolution and its application to semantic segmentation. arXiv 2018
H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak
arXiv preprint arXiv:1812.04920, 0
9
Training multi-object detector by estimating bounding box distribution for input image
J Yoo, H Lee, I Chung, G Seo, N Kwak
Proceedings of the IEEE/CVF International Conference on Computer Vision ¡¦, 2021
62021
Kl-divergence-based region proposal network for object detection
G Seo, J Yoo, J Cho, N Kwak
2020 IEEE International Conference on Image Processing (ICIP), 2001-2005, 2020
52020
Mixturemodel-based bounding box density estimation for object detection
J Yoo, G Seo, N Kwak
arXiv preprint arXiv:1911.12721, 2019
32019
Density-based object detection: Learning bounding boxes without ground truth assignment
J Yoo, H Lee, I Chung, G Seo, N Kwak
22020
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