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Learn to Predict Sets Using Feed-Forward Neural Networks

Learn to Predict Sets Using Feed-Forward Neural Networks

30 January 2020
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Daniel Cremers
Laura Leal-Taixé
Ian Reid
    SSL
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Papers citing "Learn to Predict Sets Using Feed-Forward Neural Networks"

5 / 5 papers shown
Title
DPPD: Deformable Polar Polygon Object Detection
DPPD: Deformable Polar Polygon Object Detection
Yangtao Zheng
Oles Andrienko
Yonglei Zhao
Min-Gyu Park
Trung T. Pham
ObjD
19
3
0
05 Apr 2023
Neural Estimation of Submodular Functions with Applications to
  Differentiable Subset Selection
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
A. De
Soumen Chakrabarti
16
4
0
20 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based
  Models
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang
Tong Che
B. Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
28
8
0
11 Oct 2022
Multiset-Equivariant Set Prediction with Approximate Implicit
  Differentiation
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang
David W. Zhang
Simon Lacoste-Julien
Gertjan J. Burghouts
Cees G. M. Snoek
BDL
35
21
0
23 Nov 2021
Set Prediction without Imposing Structure as Conditional Density
  Estimation
Set Prediction without Imposing Structure as Conditional Density Estimation
David W. Zhang
Gertjan J. Burghouts
Cees G. M. Snoek
48
17
0
08 Oct 2020
1