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1708.08169
Cited By
ChainerCV: a Library for Deep Learning in Computer Vision
28 August 2017
Yusuke Niitani
Toru Ogawa
Shunta Saito
Masaki Saito
VLM
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Papers citing
"ChainerCV: a Library for Deep Learning in Computer Vision"
17 / 17 papers shown
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs
Ryan Jacobs
Mingren Shen
Yuhan Liu
Wei Hao
Xiaoshan Li
...
Zeming Xie
Zitong Huang
Chao Wang
Kevin G. Field
D. Morgan
120
2
0
15 Oct 2021
Multi defect detection and analysis of electron microscopy images with deep learning
Mingren Shen
Guanzhao Li
Dongxian Wu
Yuhan Liu
J. Greaves
...
Bryan Sanchez
Oigimer Torres
Wei Li
Kevin G. Field
D. Morgan
104
50
0
19 Aug 2021
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis]
Gabriel de Souza Pereira Moreira
GNN
171
2
0
29 Dec 2019
Domain Adaptation for Object Detection via Style Consistency
British Machine Vision Conference (BMVC), 2019
A. L. Rodríguez
K. Mikolajczyk
ObjD
TTA
209
108
0
22 Nov 2019
Crowd Density Forecasting by Modeling Patch-based Dynamics
IEEE Robotics and Automation Letters (RA-L), 2019
H. Minoura
Ryo Yonetani
Mai Nishimura
Yoshitaka Ushiku
131
13
0
22 Nov 2019
Team PFDet's Methods for Open Images Challenge 2019
Yusuke Niitani
Toru Ogawa
Shuji Suzuki
Takuya Akiba
Tommi Kerola
Kohei Ozaki
Shotaro Sano
135
3
0
25 Oct 2019
Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data
T. Anzai
K. Takahashi
174
1
0
27 Sep 2019
Data-parallel distributed training of very large models beyond GPU capacity
Samuel Matzek
M. Grossman
Minsik Cho
Anar Yusifov
Bryant Nelson
A. Juneja
GNN
89
5
0
29 Nov 2018
Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects
Yusuke Niitani
Takuya Akiba
Tommi Kerola
Toru Ogawa
Shotaro Sano
Shuji Suzuki
VLM
265
44
0
27 Nov 2018
LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks
Christian Bartz
Haojin Yang
Joseph Bethge
Christoph Meinel
117
2
0
14 Nov 2018
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track
Takuya Akiba
Tommi Kerola
Yusuke Niitani
Toru Ogawa
Shotaro Sano
Shuji Suzuki
156
21
0
04 Sep 2018
Recent Advances in Deep Learning: An Overview
Matiur Rahman Minar
Jibon Naher
VLM
188
131
0
21 Jul 2018
Parallel Grid Pooling for Data Augmentation
Akito Takeki
Daiki Ikami
Go Irie
Kiyoharu Aizawa
145
7
0
30 Mar 2018
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Naoto Inoue
Ryosuke Furuta
T. Yamasaki
Kiyoharu Aizawa
ObjD
267
594
0
30 Mar 2018
Object Detection for Comics using Manga109 Annotations
Toru Ogawa
Atsushi Otsubo
Rei Narita
Yusuke Matsui
T. Yamasaki
Kiyoharu Aizawa
ObjD
159
57
0
23 Mar 2018
Minimizing Supervision for Free-space Segmentation
Satoshi Tsutsui
Tommi Kerola
Shunta Saito
David J. Crandall
184
24
0
16 Nov 2017
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions
Jun Hatori
Yuta Kikuchi
Sosuke Kobayashi
K. Takahashi
Yuta Tsuboi
Y. Unno
W. Ko
Jethro Tan
247
168
0
17 Oct 2017
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![CHAMELEON: A Deep Learning Meta-Architecture for News Recommender
Systems [Phd. Thesis]](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8yMDAxLjA0ODMxL3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
