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DeepSetNet: Predicting Sets with Deep Neural Networks

DeepSetNet: Predicting Sets with Deep Neural Networks

28 November 2016
S. Hamid Rezatofighi
B. V. Kumar
Anton Milan
Ehsan Abbasnejad
A. Dick
Ian Reid
    BDL
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Papers citing "DeepSetNet: Predicting Sets with Deep Neural Networks"

10 / 10 papers shown
Title
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia
N. Jha
OCL
46
1
0
02 Feb 2024
DATE: Dual Assignment for End-to-End Fully Convolutional Object
  Detection
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection
Yiqun Chen
Qiang Chen
Qinghao Hu
Jian Cheng
16
7
0
25 Nov 2022
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
35
17
0
08 Oct 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
58
12,603
0
26 May 2020
Compact Deep Aggregation for Set Retrieval
Compact Deep Aggregation for Set Retrieval
Yujie Zhong
Relja Arandjelović
Andrew Zisserman
CVBM
3DH
8
14
0
26 Mar 2020
Learn to Predict Sets Using Feed-Forward Neural Networks
Learn to Predict Sets Using Feed-Forward Neural Networks
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Daniel Cremers
Laura Leal-Taixé
Ian Reid
SSL
46
15
0
30 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao
Tolga Birdal
J. E. Lenssen
Emanuele Menegatti
Leonidas J. Guibas
Federico Tombari
3DPC
18
87
0
27 Dec 2019
Rep the Set: Neural Networks for Learning Set Representations
Rep the Set: Neural Networks for Learning Set Representations
Konstantinos Skianis
Giannis Nikolentzos
Stratis Limnios
Michalis Vazirgiannis
OCL
11
45
0
03 Apr 2019
Inverse Cooking: Recipe Generation from Food Images
Inverse Cooking: Recipe Generation from Food Images
Amaia Salvador
M. Drozdzal
Xavier Giró-i-Nieto
Adriana Romero
8
147
0
14 Dec 2018
Classification vs. Regression in Supervised Learning for Single Channel
  Speaker Count Estimation
Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation
Fabian-Robert Stöter
Soumitro Chakrabarty
B. Edler
Emanuel Habets
BDL
21
37
0
12 Dec 2017
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