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NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object
  Detection

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

16 April 2019
Golnaz Ghiasi
Nayeon Lee
Ruoming Pang
Quoc V. Le
    ObjD
ArXiv (abs)PDFHTML

Papers citing "NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection"

23 / 423 papers shown
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
386
531
0
31 Aug 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
Guosheng Lin
VLMObjD
314
893
0
10 Aug 2019
SqueezeNAS: Fast neural architecture search for faster semantic
  segmentation
SqueezeNAS: Fast neural architecture search for faster semantic segmentation
Albert Eaton Shaw
D. Hunter
F. Iandola
Sammy Sidhu
SSeg
252
78
0
05 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-ArtKnowledge-Based Systems (KBS), 2019
Xin He
Kaiyong Zhao
Xiaowen Chu
787
1,677
0
02 Aug 2019
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed
  Semantics for Enhanced Object Detection
ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object DetectionInternational Conference on Pattern Recognition (ICPR), 2019
J. Yoo
Seonguk Park
J. Choi
ObjD
208
5
0
01 Aug 2019
A Survey of Deep Learning-based Object Detection
A Survey of Deep Learning-based Object DetectionIEEE Access (IEEE Access), 2019
L. Jiao
Fan Zhang
Fang Liu
Shuyuan Yang
Lingling Li
Zhixi Feng
Rong Qu
ObjD
214
1,083
0
11 Jul 2019
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS
  Hyperparameter Optimization
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter OptimizationIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019
Dimitrios Stamoulis
Ruizhou Ding
Di Wang
Dimitrios Lymberopoulos
B. Priyantha
J. Tang
Diana Marculescu
147
36
0
01 Jul 2019
Learning Data Augmentation Strategies for Object Detection
Learning Data Augmentation Strategies for Object DetectionEuropean Conference on Computer Vision (ECCV), 2019
Barret Zoph
E. D. Cubuk
Golnaz Ghiasi
Nayeon Lee
Jonathon Shlens
Quoc V. Le
190
579
0
26 Jun 2019
Densely Connected Search Space for More Flexible Neural Architecture
  Search
Densely Connected Search Space for More Flexible Neural Architecture SearchComputer Vision and Pattern Recognition (CVPR), 2019
Jiemin Fang
Yuzhu Sun
Qian Zhang
Yuan Li
Wenyu Liu
Xinggang Wang
320
135
0
23 Jun 2019
Sample-Efficient Neural Architecture Search by Learning Action Space
Sample-Efficient Neural Architecture Search by Learning Action Space
Linnan Wang
Saining Xie
Teng Li
Rodrigo Fonseca
Yuandong Tian
240
48
0
17 Jun 2019
Stand-Alone Self-Attention in Vision Models
Stand-Alone Self-Attention in Vision ModelsNeural Information Processing Systems (NeurIPS), 2019
Prajit Ramachandran
Niki Parmar
Ashish Vaswani
Irwan Bello
Anselm Levskaya
Jonathon Shlens
VLMSLRViT
373
1,329
0
13 Jun 2019
NAS-FCOS: Fast Neural Architecture Search for Object Detection
NAS-FCOS: Fast Neural Architecture Search for Object DetectionComputer Vision and Pattern Recognition (CVPR), 2019
Ning Wang
Yang Gao
Hao Chen
Peng Wang
Zhi Tian
Chunhua Shen
Yanning Zhang
ObjD
270
214
0
11 Jun 2019
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution
  Pruning
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution PruningInternational Journal of Computer Vision (IJCV), 2019
Xiawu Zheng
Chenyi Yang
Shaokun Zhang
Yan Wang
Baochang Zhang
Yongjian Wu
Yunsheng Wu
Ling Shao
Rongrong Ji
218
27
0
28 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A SurveyProceedings of the IEEE (Proc. IEEE), 2019
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLMObjDAI4TS
475
3,080
0
13 May 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
651
1,125
0
22 Apr 2019
Towards Learning of Filter-Level Heterogeneous Compression of
  Convolutional Neural Networks
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
Y. Zur
Chaim Baskin
Evgenii Zheltonozhskii
Brian Chmiel
Itay Evron
A. Bronstein
A. Mendelson
MQ
239
7
0
22 Apr 2019
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
Weicheng Kuo
A. Angelova
Jitendra Malik
Nayeon Lee
3DPCISeg
182
125
0
05 Apr 2019
DetNAS: Backbone Search for Object Detection
DetNAS: Backbone Search for Object Detection
Yukang Chen
Tong Yang
Xinming Zhang
Gaofeng Meng
Xinyu Xiao
Jian Sun
336
280
0
26 Mar 2019
SimpleDet: A Simple and Versatile Distributed Framework for Object
  Detection and Instance Recognition
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
Yuntao Chen
Chenxia Han
Yanghao Li
Zehao Huang
Yi Jiang
Naiyan Wang
Zhaoxiang Zhang
560
31
0
14 Mar 2019
Evaluating the Search Phase of Neural Architecture Search
Evaluating the Search Phase of Neural Architecture Search
Kaicheng Yu
C. Sciuto
Martin Jaggi
C. Musat
Mathieu Salzmann
319
361
0
21 Feb 2019
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Tianpeng Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
714
2,663
0
06 Sep 2018
Auto-Keras: An Efficient Neural Architecture Search System
Auto-Keras: An Efficient Neural Architecture Search SystemKnowledge Discovery and Data Mining (KDD), 2018
Haifeng Jin
Qingquan Song
Helen Zhou
458
884
0
27 Jun 2018
A Content-Based Late Fusion Approach Applied to Pedestrian Detection
A Content-Based Late Fusion Approach Applied to Pedestrian Detection
Jessica Sena
Artur Jordão
William Robson Schwartz
109
1
0
08 Jun 2018
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