no code implementations • 25 Oct 2019 • Yusuke Niitani, Toru Ogawa, Shuji Suzuki, Takuya Akiba, Tommi Kerola, Kohei Ozaki, Shotaro Sano
Using this method, the team PFDet achieved 3rd and 4th place in the instance segmentation and the object detection track, respectively.
no code implementations • 1 Aug 2019 • Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent
Software frameworks for neural networks play a key role in the development and application of deep learning methods.
no code implementations • CVPR 2019 • Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki
However, large datasets like Open Images Dataset v4 (OID) are sparsely annotated, and some measure must be taken in order to ensure the training of a reliable detector.
no code implementations • 4 Sep 2018 • Takuya Akiba, Tommi Kerola, Yusuke Niitani, Toru Ogawa, Shotaro Sano, Shuji Suzuki
We present a large-scale object detection system by team PFDet.
2 code implementations • 28 Aug 2017 • Yusuke Niitani, Toru Ogawa, Shunta Saito, Masaki Saito
Despite significant progress of deep learning in the field of computer vision, there has not been a software library that covers these methods in a unifying manner.
Ranked #186 on Object Detection on COCO test-dev