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Deep Perm-Set Net: Learn to predict sets with unknown permutation and
  cardinality using deep neural networks
v1v2v3v4 (latest)

Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks

2 May 2018
S. Hamid Rezatofighi
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Zorah Lähner
Laura Leal-Taixé
Ian Reid
    SSL
ArXiv (abs)PDFHTML

Papers citing "Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks"

16 / 16 papers shown
The Responsibility Problem in Neural Networks with Unordered Targets
The Responsibility Problem in Neural Networks with Unordered Targets
B. Hayes
C. Saitis
Gyorgy Fazekas
201
9
0
19 Apr 2023
Robust and Controllable Object-Centric Learning through Energy-based
  Models
Robust and Controllable Object-Centric Learning through Energy-based ModelsInternational Conference on Learning Representations (ICLR), 2022
Ruixiang Zhang
Tong Che
Boris Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
345
10
0
11 Oct 2022
Conditional set generation using Seq2seq models
Conditional set generation using Seq2seq modelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Aman Madaan
Dheeraj Rajagopal
Niket Tandon
Yiming Yang
Antoine Bosselut
309
10
0
25 May 2022
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using
  Spatial and Temporal Transformers
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal TransformersIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianyu Zhu
Markus Hiller
Mahsa Ehsanpour
Rongkai Ma
Tom Drummond
Ian Reid
Hamid Rezatofighi
VOT
459
64
0
27 Mar 2021
Reversible Action Design for Combinatorial Optimization with
  Reinforcement Learning
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning
Fan Yao
Renqin Cai
Hongning Wang
241
11
0
14 Feb 2021
Hierarchical Poset Decoding for Compositional Generalization in Language
Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo Guo
Zeqi Lin
Jian-Guang Lou
Dongmei Zhang
AI4CE
279
31
0
15 Oct 2020
Conditional Set Generation with Transformers
Conditional Set Generation with Transformers
Adam R. Kosiorek
Hyunjik Kim
Danilo Jimenez Rezende
319
44
0
26 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with TransformersEuropean Conference on Computer Vision (ECCV), 2020
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
3.1K
17,731
0
26 May 2020
Better Set Representations For Relational Reasoning
Better Set Representations For Relational Reasoning
Qian Huang
Horace He
Ashutosh Kumar Singh
Yan Zhang
Ser-Nam Lim
Austin R. Benson
NAIOCLGNN
413
1
0
09 Mar 2020
Learn to Predict Sets Using Feed-Forward Neural Networks
Learn to Predict Sets Using Feed-Forward Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Zorah Lähner
Laura Leal-Taixé
Ian Reid
SSL
389
19
0
30 Jan 2020
Auto-labelling of Markers in Optical Motion Capture by Permutation
  Learning
Auto-labelling of Markers in Optical Motion Capture by Permutation LearningComputer Graphics International Conference (CGI), 2019
Saeed Ghorbani
Ali Etemad
N. Troje
177
22
0
31 Jul 2019
Deep Set Prediction Networks
Deep Set Prediction NetworksNeural Information Processing Systems (NeurIPS), 2019
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
580
126
0
15 Jun 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling
FSPool: Learning Set Representations with Featurewise Sort PoolingInternational Conference on Learning Representations (ICLR), 2019
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
574
91
0
06 Jun 2019
Janossy Pooling: Learning Deep Permutation-Invariant Functions for
  Variable-Size Inputs
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
R. Murphy
Ninad Kulkarni
Vinayak A. Rao
Yun Liang
461
207
0
05 Nov 2018
Energy Flow Networks: Deep Sets for Particle Jets
Energy Flow Networks: Deep Sets for Particle Jets
Patrick T. Komiske
E. Metodiev
Jesse Thaler
PINN3DPC
448
305
0
11 Oct 2018
MetaAnchor: Learning to Detect Objects with Customized Anchors
MetaAnchor: Learning to Detect Objects with Customized AnchorsNeural Information Processing Systems (NeurIPS), 2018
Tong Yang
Xiangyu Zhang
Zeming Li
Wenqiang Zhang
Jian Sun
ObjD
371
148
0
03 Jul 2018
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