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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.
The Pascal Visual Object Classes (VOC) Challenge
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Chainer: a Next-Generation Open Source Framework for Deep Learning. In Proceedings of Workshop on Machine Learning Systems in NIPS
Seiya Tokui, Kenta Oono, Shohei Hido, and Justin Clayton. 2015 · 2015
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Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy, and Google Research. 2016 · 2016
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SSD: Single Shot MultiBox Detector
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Work-efficient parallel non-maximum suppression for embedded GPU architectures. In ICASSP
D. Oro, C. Fernández, X. Martorell, and J. Hernando. 2016 · 2016
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
An Implementation of Faster RCNN with Study for Region Sampling
Xinlei Chen and Abhinav Gupta. 2017 · 2017
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DSSD : Deconvolutional Single Shot Detector
Ananth Ranga Ambrish Tyagi Cheng-Yang Fu, Wei Liu and Alexander C. Berg. 2017 · 2017
Closest in time.
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. 2017 · 2017
Closest in time.
Scene Graph Generation by Iterative Message Passing. In CVPR
Danfei Xu, Yuke Zhu, Christopher Choy, and Li Fei-Fei. 2017 · 2017
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Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017 · 2017
Cited alongside, same era.