Related references
Note: Only part of the references are listed.Sim-to-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery
Paul Maria Scheikl et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2023)
A Two-Stream CNN With Simultaneous Detection and Segmentation for Robotic Grasping
Yingying Yu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)
CBASH: Combined Backbone and Advanced Selection Heads With Object Semantic Proposals for Weakly Supervised Object Detection
Ruiyang Xia et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2022)
A Survey of Embodied AI: From Simulators to Research Tasks
Jiafei Duan et al.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2022)
High-Quality R-CNN Object Detection Using Multi-Path Detection Calibration Network
Xiaoyu Chen et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2021)
Co-Saliency Detection With Co-Attention Fully Convolutional Network
Guangshuai Gao et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2021)
Multimodal Local-Global Attention Network for Affective Video Content Analysis
Yangjun Ou et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2021)
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB
Stefan Ainetter et al.
2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) (2021)
ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani et al.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)
Learning robust, real-time, reactive robotic grasping
Douglas Morrison et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2020)
Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation
Dingwen Zhang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network
Sulabh Kumra et al.
2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2020)
FIXED SMOOTH CONVOLUTIONAL LAYER FOR AVOIDING CHECKERBOARD ARTIFACTS IN CNNS
Yuma Kinoshita et al.
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (2020)
Domain-Independent Unsupervised Detection of Grasp Regions to grasp Novel Objects
Siddhartha Vibhu Pharswan et al.
2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2019)
Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment
Mohit Vohra et al.
2019 28TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN) (2019)
Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection A survey
Junwei Han et al.
IEEE SIGNAL PROCESSING MAGAZINE (2018)
Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detectionn
Pingping Zhang et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Learning Uncertain Convolutional Features for Accurate Saliency Detection
Pingping Zhang et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Mask R-CNN
Kaiming He et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
Xi Li et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2016)
Global Contrast Based Salient Region Detection
Ming-Ming Cheng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
Deep learning for detecting robotic grasps
Ian Lenz et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2015)
Share Paper
