Unsupervised Video Object Segmentation for Deep Reinforcement Learning

20 May 2018

Papers citing "Unsupervised Video Object Segmentation for Deep Reinforcement Learning"

31 / 31 papers shown

Title
RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation Changsong Pang Xieyuanli Chen Yimin Liu Huimin Lu Yuwei Cheng 206 6 0 22 Feb 2024
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning Zhaohui Jiang Paul Weng OffRL 167 0 0 10 Jan 2024
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation Jialing Yuan Jay Patravali Hung Nguyen Chanho Kim Fuxin Li VOS 164 4 0 29 Jan 2023
Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse Wolfgang Stammer Thomas Rothenbacher Dwarak Vittal Kristian Kersting OCL 255 21 0 16 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Weilong Dai XAI 388 1 0 12 Nov 2022
Sampling Through the Lens of Sequential Decision Making J. Dou Alvin Pan Runxue Bao Haiyi Mao Lei Luo Zhi-Hong Mao 290 21 0 17 Aug 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 224 58 0 17 Feb 2022
A Survey on Interpretable Reinforcement LearningMachine-mediated learning (ML), 2021 Claire Glanois Paul Weng Matthieu Zimmer Dong Li Zhenxing Ge Jianye Hao Wulong Liu OffRL 238 141 0 24 Dec 2021
Rethinking of AlphaStar Ruoxi Liu 148 2 0 07 Aug 2021
Structured World Belief for Reinforcement Learning in POMDPInternational Conference on Machine Learning (ICML), 2021 Gautam Singh Skand Peri Junghyun Kim Hyunseok Kim Sungjin Ahn OCL 159 31 0 19 Jul 2021
Fast Interactive Video Object Segmentation with Graph Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2021 Viktor Varga András Lőrincz VOS 169 11 0 05 Mar 2021
Language-Mediated, Object-Centric Representation LearningFindings (Findings), 2020 Ruocheng Wang Jiayuan Mao S. Gershman Jiajun Wu 203 13 0 31 Dec 2020
Refactoring Policy for Compositional Generalizability using Self-Supervised Object ProposalsNeural Information Processing Systems (NeurIPS), 2020 Tongzhou Mu Jiayuan Gu Zhiwei Jia Hao Tang Hao Su 144 13 0 26 Oct 2020
A Survey of Knowledge-based Sequential Decision Making under Uncertainty Shiqi Zhang Mohan Sridharan 208 16 0 19 Aug 2020
Verifiably Safe Exploration for End-to-End Reinforcement Learning Nathan Hunt Nathan Fulton Sara Magliacane Nghia Hoang Subhro Das Armando Solar-Lezama OffRL 164 57 0 02 Jul 2020
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference Polina Zablotskaia E. Dominici Leonid Sigal Andreas M. Lehrmann OCL 232 20 0 25 Jun 2020
ALBA : Reinforcement Learning for Video Object SegmentationBritish Machine Vision Conference (BMVC), 2020 Shreyank N. Gowda Panagiotis Eustratiadis Timothy M. Hospedales Laura Sevilla-Lara VOS 149 11 0 26 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 264 69 0 18 May 2020
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning William Agnew Pedro M. Domingos OffRL 264 3 0 03 Mar 2020
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019 Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 185 100 0 09 Dec 2019
Exploiting Spatial Invariance for Scalable Unsupervised Object TrackingAAAI Conference on Artificial Intelligence (AAAI), 2019 Eric Crawford Joelle Pineau 297 67 0 20 Nov 2019
Entity Abstraction in Visual Model-Based Reinforcement LearningConference on Robot Learning (CoRL), 2019 Rishi Veerapaneni John D. Co-Reyes Michael Chang Michael Janner Chelsea Finn Jiajun Wu J. Tenenbaum Sergey Levine OCL OffRL 393 196 0 28 Oct 2019
Unsupervised Learning of Object Keypoints for Perception and ControlNeural Information Processing Systems (NeurIPS), 2019 Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 184 209 0 19 Jun 2019
Mega-Reward: Achieving Human-Level Play without Extrinsic RewardsAAAI Conference on Artificial Intelligence (AAAI), 2019 Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Shangtong Zhang Andrzej Wojcicki Mai Xu LRM 301 16 0 12 May 2019
Video Object Segmentation and Tracking: A Survey Rui Yao Guosheng Lin Shixiong Xia Jiaqi Zhao Yong Zhou VOS 208 168 0 19 Apr 2019
Joint Perception and Control as Inference with an Object-based Implementation Minne Li Zheng Tian Pranav Nashikkar Ian Davies Ying Wen Jun Wang 221 2 0 04 Mar 2019
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer LearningIEEE Transactions on Games (TG), 2019 Ruo-Ze Liu Haifeng Guo Xiaozhong Ji Yang Yu Zhen-Jia Pang Zitai Xiao Yuzhou Wu Tong Lu OffRL 249 15 0 02 Mar 2019
Motion Perception in Reinforcement Learning with Dynamic Objects Artemij Amiranashvili Alexey Dosovitskiy V. Koltun Thomas Brox 166 36 0 10 Jan 2019
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner Sergey Levine William T. Freeman J. Tenenbaum Chelsea Finn Jiajun Wu OCL 210 133 0 28 Dec 2018
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation T. Bouwmans S. Javed M. Sultana Soon Ki Jung 151 327 0 13 Nov 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 295 144 0 15 Oct 2018