ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.12270
  4. Cited By
Combining Deep Learning and Verification for Precise Object Instance
  Detection
v1v2v3v4 (latest)

Combining Deep Learning and Verification for Precise Object Instance Detection

27 December 2019
Siddharth Ancha
Junyu Nan
David Held
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Combining Deep Learning and Verification for Precise Object Instance Detection"

21 / 21 papers shown
Title
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
Yonatan Geifman
Ran El-Yaniv
CVBMOOD
128
311
0
26 Jan 2019
A deep learning pipeline for product recognition on store shelves
A deep learning pipeline for product recognition on store shelves
A. Tonioni
Eugenio Serra
Luigi Di Stefano
50
41
0
03 Oct 2018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv
  Solution
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu
Joel Lehman
Piero Molino
F. Such
Eric Frank
Alexander Sergeev
J. Yosinski
80
893
0
09 Jul 2018
Dense Object Nets: Learning Dense Visual Object Descriptors By and For
  Robotic Manipulation
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Peter R. Florence
Lucas Manuelli
Russ Tedrake
SSL
104
280
0
22 Jun 2018
Cautious Deep Learning
Cautious Deep Learning
Yotam Hechtlinger
Barnabás Póczós
Larry A. Wasserman
162
64
0
24 May 2018
Target Driven Instance Detection
Target Driven Instance Detection
Phil Ammirato
Cheng-Yang Fu
Mykhailo Shvets
Jana Kosecka
Alexander C. Berg
46
27
0
13 Mar 2018
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Debidatta Dwibedi
Ishan Misra
M. Hebert
103
622
0
04 Aug 2017
Flow-Guided Feature Aggregation for Video Object Detection
Flow-Guided Feature Aggregation for Video Object Detection
Xizhou Zhu
Yujie Wang
Jifeng Dai
Lu Yuan
Yichen Wei
109
621
0
29 Mar 2017
A Dataset for Developing and Benchmarking Active Vision
A Dataset for Developing and Benchmarking Active Vision
Phil Ammirato
Patrick Poirson
Eunbyung Park
Jana Kosecka
Alexander C. Berg
VLMObjD
122
186
0
27 Feb 2017
Synthesizing Training Data for Object Detection in Indoor Scenes
Synthesizing Training Data for Object Detection in Indoor Scenes
G. Georgakis
Arsalan Mousavian
Alexander C. Berg
Jana Kosecka
3DPCObjD
70
205
0
25 Feb 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
321
1,875
0
03 Feb 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
259
3,081
0
06 Dec 2016
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
238
944
0
21 Oct 2016
Multiview RGB-D Dataset for Object Instance Detection
Multiview RGB-D Dataset for Object Instance Detection
G. Georgakis
Md. Alimoor Reza
Arsalan Mousavian
P. Le
Jana Kosecka
3DPC3DV
89
80
0
26 Sep 2016
Universal Correspondence Network
Universal Correspondence Network
Chris Choy
JunYoung Gwak
Silvio Savarese
Manmohan Chandraker
70
369
0
11 Jun 2016
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
249
29,871
0
08 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
531
62,409
0
04 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
318
4,180
0
26 Apr 2015
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical
  Flow
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow
Jérôme Revaud
Philippe Weinzaepfel
Zaïd Harchaoui
Cordelia Schmid
78
797
0
12 Jan 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,832
0
01 May 2014
A tutorial on conformal prediction
A tutorial on conformal prediction
Glenn Shafer
V. Vovk
454
1,148
0
21 Jun 2007
1