Results 31 to 40 of about 7,519,950 (294)
Monte Carlo Scene Search for 3D Scene Understanding [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 We explore how a general AI algorithm can be used for 3D scene understanding to reduce the need for training data. More exactly, we propose a modification of the Monte Carlo Tree Search (MCTS) algorithm to retrieve objects and room layouts from noisy RGB-D scans.
Hampali, Shreyas +5 more
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A novel dilated convolutional neural network model for road scene segmentation
EAI Endorsed Transactions on Scalable Information Systems, 2022 This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173784. Road scene understanding is one of the important modules in the field of autonomous driving.
Yachao Zhang, Yuxia Yuan
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Towards In-context Scene Understanding
Advances in Neural Information Processing Systems 36, 2023 In-context learning$\unicode{x2013}$the ability to configure a model's behavior with different prompts$\unicode{x2013}$has revolutionized the field of natural language processing, alleviating the need for task-specific models and paving the way for generalist models capable of assisting with any query.
Ivana Balazevic +4 more
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An Approach to Task Representation Based on Object Features and Affordances
Sensors, 2022 Multi-purpose service robots must execute their tasks reliably in different situations, as well as learn from humans and explain their plans to them.
Paul Gajewski, Bipin Indurkhya
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A Modular Deep Learning Framework for Scene Understanding in Augmented Reality Applications [PDF]
, 2023 Taking as input natural images and videos augmented reality (AR) applications aim to enhance the real world with superimposed digital contents enabling interaction between the user and the environment.
Nebel, JC. +3 more
core +1 more source
Scene Attribute Semantic Relational Regularization for Transport-Travel Scene Understanding
IEEE Access, 2020 Attribute learning has improved the performance in scene understanding and scene recognition. However, there are many attributes described by words or short texts in a static scene and traffic crowd scene.
Xin Lei Wei +4 more
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Geometric and Semantic Scene Understanding. [PDF]
, 2014 Estimating the 3D structure of a scene and recognizing scene elements are two kernel functions supporting many artificial intelligence applications. The ability to achieve these two goals only using RGB images is very valuable to a low-cost system but ...
Bao, Yingze
core +7 more sources
From SLAM to Situational Awareness: Challenges and Survey
Sensors, 2023 The capability of a mobile robot to efficiently and safely perform complex missions is limited by its knowledge of the environment, namely the situation.
Hriday Bavle +4 more
doaj +1 more source
Artificial Intelligence, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chella, A., Frixione, M., Gaglio, S.
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Scene Understanding for Autonomous Driving
CoRR, 2021 To detect and segment objects in images based on their content is one of the most active topics in the field of computer vision. Nowadays, this problem can be addressed using Deep Learning architectures such as Faster R-CNN or YOLO, among others. In this paper, we study the behaviour of different configurations of RetinaNet, Faster R-CNN and Mask R-CNN
Òscar Lorente, Ian Riera, Aditya Rana
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