Results 1 to 10 of about 61,033 (257)
Probing Spatial Clues: Canonical Spatial Templates for Object Relationship Understanding
IEEE Access, 2021 Humans often leverage spatial clues to categorize scenes in a fraction of a second. This form of intelligence is very relevant in time-critical situations (e.g., when driving a car) and valuable to transfer to automated systems.
Guillem Collell +2 more
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Unbiased 3D Semantic Scene Graph Prediction in Point Cloud Using Deep Learning
Applied Sciences, 2023 As a core task of computer vision perception, 3D scene understanding has received widespread attention. However, the current research mainly focuses on the semantic understanding task at the level of entity objects and often neglects the semantic ...
Chaolin Han +6 more
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Guidance of Visual Attention by Semantic Information in Real-World Scenes
Frontiers in Psychology, 2014 Recent research on attentional guidance in real-world scenes has focused on object recognition within the context of a scene. This approach has been valuable for determining some factors that drive the allocation of visual attention and determine visual ...
Chia-Chien eWu +2 more
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Monocular Image Depth Understanding Based on Scene Modality Depth Understanding Network [PDF]
Jisuanji gongcheng, 2021 The monocular depth image quality obtained by the image processing method based on Depth Convolution Neural Network (DCNN) is much higher than that of traditional image processing methods.However,this method is prone to error accumulation in the training
CHEN Yang, LI Dawei
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Invariant representations of mass in the human brain
eLife, 2019 An intuitive understanding of physical objects and events is critical for successfully interacting with the world. Does the brain achieve this understanding by running simulations in a mental physics engine, which represents variables such as force and ...
Sarah Schwettmann +2 more
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State of the Art Techniques to Advance Deep Networks for Semantic Segmentation
U.Porto Journal of Engineering, 2022 In recent times, the computer vision community has seen remarkable growth in the field of scene understanding. With such a wide prevalence of images, the importance of this field is growing rapidly along with the technologies involved in it.
Aakanksha, Arushi Seth, Shanu Sharma
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Federated Learning in Computer Vision
IEEE Access, 2023 Federated Learning (FL) has recently emerged as a novel machine learning paradigm allowing to preserve privacy and to account for the distributed nature of the learning process in many real-world settings.
Donald Shenaj +2 more
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Siriraj Medical Journal, 2021 Background: Paramedicine is a new profession in Thailand. The most important role is to provide pre-hospital advanced life support for emergency patients. So, they often need to assist the injured at crime scenes.
Thongpitak Huabbangyang +1 more
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SEMANTIC SCENE UNDERSTANDING FOR THE AUTONOMOUS PLATFORM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In this paper we describe a new multi-sensor platform for data collection and algorithm testing. We propose a couple of methods for solution of semantic scene understanding problem for land autonomous vehicles.
B. Vishnyakov +10 more
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Semantic Scene Completion With 2D and 3D Feature Fusion
IEEE Access3D semantic scene completion (SSC) aims to get a dense semantic understanding of an environment in 3D. It requires a geometric and semantic knowledge of the surrounding environment and the filling of void areas.
Sang-Min Park, Jong-Eun Ha
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