Tagger: Deep Unsupervised Perceptual Grouping

21 June 2016

Papers citing "Tagger: Deep Unsupervised Perceptual Grouping"

35 / 35 papers shown

Title
Dynamic Scene Understanding through Object-Centric Voxelization and Neural Rendering Yanpeng Zhao Yiwei Hao Siyu Gao Yunbo Wang Xiaokang Yang OCL 132 1 0 17 Feb 2025
Attention Normalization Impacts Cardinality Generalization in Slot Attention Markus Krimmel Jan Achterhold Joerg Stueckler OCL 45 0 0 04 Jul 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery Anand Gopalakrishnan Aleksandar Stanić Jürgen Schmidhuber M. C. Mozer 51 5 0 27 May 2024
Unsupervised Discovery of Object-Centric Neural Fields Rundong Luo Hong-Xing Yu Jiajun Wu 3DPC OCL 90 3 0 12 Feb 2024
Explicitly Disentangled Representations in Object-Centric Learning Riccardo Majellaro Jonathan Collu Aske Plaat Thomas M. Moerland CoGe OOD OCL 76 1 0 18 Jan 2024
OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning Yin-Tao Huang Tonglin Chen Zhimeng Shen Jinghao Huang Bin Li Xiangyang Xue OCL 35 1 0 16 Jun 2023
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention Hao Zheng Hui Lin Rong Zhao Luping Shi 31 5 0 11 Nov 2022
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 32 36 0 02 Nov 2022
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns Laurynas Karazija Subhabrata Choudhury Iro Laina Christian Rupprecht Andrea Vedaldi OCL 108 21 0 21 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models Ruixiang Zhang Tong Che Boris Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 34 8 0 11 Oct 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 13 0 05 Aug 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos Gautam Singh Yi-Fu Wu Sungjin Ahn OCL 48 115 0 27 May 2022
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax Bruno Sauvalle A. de La Fortelle 3DPC 52 12 0 26 May 2022
Discovering Objects that Can Move Zhipeng Bao P. Tokmakov Allan Jabri Yu-xiong Wang Adrien Gaidon M. Hebert OCL 31 43 0 18 Mar 2022
EM-driven unsupervised learning for efficient motion segmentation E. Meunier A. Badoual P. Bouthemy 33 39 0 06 Jan 2022
Conditional Object-Centric Learning from Video Thomas Kipf Gamaleldin F. Elsayed Aravindh Mahendran Austin Stone S. Sabour G. Heigold Rico Jonschkowski Alexey Dosovitskiy Klaus Greff OCL 41 214 0 24 Nov 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation Laurynas Karazija Iro Laina Christian Rupprecht 3DV VOS 47 84 0 19 Nov 2021
Unsupervised Foreground Extraction via Deep Region Competition Peiyu Yu Sirui Xie Xiaojian Ma Yixin Zhu Ying Nian Wu Song-Chun Zhu OCL 32 42 0 29 Oct 2021
Unsupervised Layered Image Decomposition into Object Prototypes Tom Monnier Elliot Vincent Jean Ponce Mathieu Aubry OCL 16 53 0 29 Apr 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 37 115 0 20 Apr 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments Antonia Creswell Rishabh Kabra Christopher P. Burgess Murray Shanahan OCL 30 29 0 08 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 50 82 0 02 Mar 2021
Slot Contrastive Networks: A Contrastive Approach for Representing Objects Evan Racah Sarath Chandar OCL DRL 21 14 0 18 Jul 2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection Rujikorn Charakorn Y. Thawornwattana Sirawaj Itthipuripat Nick Pawlowski P. Manoonpong Nat Dilokthanakul DRL OCL 24 13 0 24 Jan 2020
Disentangling neural mechanisms for perceptual grouping Junkyung Kim Drew Linsley Kalpit C. Thakkar Thomas Serre OCL 26 54 0 04 Jun 2019
Emergence of Object Segmentation in Perturbed Generative Models Adam Bielski Paolo Favaro 33 99 0 29 May 2019
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Shangsheng Xie Mingming Lu FAtt GNN 36 16 0 09 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 18 499 0 01 Mar 2019
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 21 840 0 17 Jul 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 138 305 0 11 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 29 256 0 05 Jun 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 34 290 0 28 Feb 2018
Recurrent Ladder Networks Isabeau Prémont-Schwarz Alexander Ilin T. Hao Antti Rasmus Rinu Boney Harri Valpola 32 41 0 28 Jul 2017
Independently Controllable Features Emmanuel Bengio Valentin Thomas Joelle Pineau Doina Precup Yoshua Bengio DRL 21 66 0 22 Mar 2017
Towards Deep Symbolic Reinforcement Learning M. Garnelo Kai Arulkumaran Murray Shanahan 30 225 0 18 Sep 2016