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A Survey of Computer Vision Technologies In Urban and
  Controlled-environment Agriculture

A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture

20 October 2022
Jiayun Luo
Boyang Albert Li
Cyril Leung
ArXivPDFHTML

Papers citing "A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture"

20 / 70 papers shown
Title
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters
  in Deep Neural Networks
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
Ruth C. Fong
Andrea Vedaldi
FAtt
58
263
0
10 Jan 2018
Bottom-Up and Top-Down Attention for Image Captioning and Visual
  Question Answering
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Gould
Lei Zhang
AIMat
104
4,201
0
25 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
128
2,386
0
10 Jul 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
206
7,961
0
22 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,747
0
17 Apr 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
144
2,854
0
14 Mar 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
142
5,920
0
04 Mar 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
165
15,573
0
25 Dec 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISeg
SSeg
75
1,004
0
23 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
454
10,281
0
16 Nov 2016
Joint Face Detection and Alignment using Multi-task Cascaded
  Convolutional Networks
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Kaipeng Zhang
Zhanpeng Zhang
Zhifeng Li
Yu Qiao
CVBM
159
4,940
0
11 Apr 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
65
855
0
29 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
717
16,828
0
16 Feb 2016
Recurrent Instance Segmentation
Recurrent Instance Segmentation
Bernardino Romera-Paredes
Philip Torr
SSeg
61
329
0
25 Nov 2015
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
96
1,959
0
26 Nov 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.2K
39,383
0
01 Sep 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjD
ISeg
126
1,291
0
07 Jul 2014
One weird trick for parallelizing convolutional neural networks
One weird trick for parallelizing convolutional neural networks
A. Krizhevsky
GNN
86
1,297
0
23 Apr 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
199
14,831
1
21 Dec 2013
Horizontal and Vertical Ensemble with Deep Representation for
  Classification
Horizontal and Vertical Ensemble with Deep Representation for Classification
Jingjing Xie
Bing Xu
Chuang Zhang
SSL
88
76
0
12 Jun 2013
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