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SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and
  Few-Shot Detection Problems

SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems

29 June 2021
Yang Xu
Bohao Huang
Xiong Luo
Kyle Bradbury
Jordan M. Malof
ArXivPDFHTML

Papers citing "SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems"

14 / 14 papers shown
Title
RarePlanes: Synthetic Data Takes Flight
RarePlanes: Synthetic Data Takes Flight
Jacob Shermeyer
T. Hossler
A. V. Etten
Daniel Hogan
Ryan Lewis
Daeil Kim
56
106
0
04 Jun 2020
The Synthinel-1 dataset: a collection of high resolution synthetic
  overhead imagery for building segmentation
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
Fanjie Kong
Bohao Huang
Kyle Bradbury
Jordan M. Malof
49
38
0
15 Jan 2020
Synthetic Examples Improve Generalization for Rare Classes
Synthetic Examples Improve Generalization for Rare Classes
Sara Beery
Yang Liu
Dan Morris
Jim Piavis
Ashish Kapoor
M. Meister
Neel Joshi
Pietro Perona
87
98
0
11 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
83
1,810
0
10 Apr 2019
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by
  Domain Randomization
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay
Aayush Prakash
David Acuna
M. Brophy
Varun Jampani
Cem Anil
Thang To
Eric Cameracci
Shaad Boochoon
Stan Birchfield
OOD
63
814
0
18 Apr 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
107
21,432
0
08 Apr 2018
xView: Objects in Context in Overhead Imagery
xView: Objects in Context in Overhead Imagery
Darius Lam
Richard Kuzma
Kevin McGee
Samuel Dooley
Michael Laielli
Matthew K. Klaric
Yaroslav Bulatov
Brendan McCord
ObjD
51
322
0
22 Feb 2018
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia
X. Bai
Jian Ding
Zhen Zhu
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Liangpei Zhang
ObjD
123
2,173
0
28 Nov 2017
Functional Map of the World
Functional Map of the World
Gordon A. Christie
Neil Fendley
James Wilson
R. Mukherjee
VGen
73
392
0
21 Nov 2017
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and
  Few-shot Learning
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning
Shafin Rahman
Salman H. Khan
Fatih Porikli
80
175
0
27 Jun 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
241
2,964
0
20 Mar 2017
Physically-Based Rendering for Indoor Scene Understanding Using
  Convolutional Neural Networks
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Yinda Zhang
Shuran Song
Ersin Yumer
Manolis Savva
Joon-Young Lee
Hailin Jin
Thomas Funkhouser
AI4CE
SSL
3DV
3DPC
52
262
0
22 Dec 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
120
2,008
0
07 Aug 2016
Play and Learn: Using Video Games to Train Computer Vision Models
Play and Learn: Using Video Games to Train Computer Vision Models
Alireza Shafaei
James J. Little
Mark Schmidt
80
108
0
05 Aug 2016
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