Results 11 to 20 of about 13,095 (215)
Self-Supervised Vision Transformers for Malware Detection
IEEE Access, 2022 Malware detection plays a crucial role in cyber-security with the increase in malware growth and advancements in cyber-attacks. Previously unseen malware which is not determined by security vendors are often used in these attacks and it is becoming ...
Sachith Seneviratne +3 more
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IEEE Open Journal of Intelligent Transportation Systems, 2023 In this paper, we investigate the use of Vision Transformers for processing and understanding visual data in an autonomous driving setting. Specifically, we explore the use of Vision Transformers for semantic segmentation and monocular depth estimation ...
Durga Prasad Bavirisetti +3 more
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Quantum Vision Transformers [PDF]
QuantumIn this work, quantum transformers are designed and analysed in detail by extending the state-of-the-art classical transformer neural network architectures known to be very performant in natural language processing and image analysis.
El Amine Cherrat +5 more
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Transformer architectures for computer vision: A comprehensive review and future research directions [PDF]
EPJ Web of ConferencesLong-range dependencies and contextual relationships in videos were captured by using Convolutional Neural Networks (CNNs) in past. Recently the use of Transformers is started for capturing the long-range dependencies and contextual relationships in ...
Ugile Tukaram, Uke Nilesh
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Identifying the role of vision transformer for skin cancer—A scoping review
Frontiers in Artificial Intelligence, 2023 IntroductionDetecting and accurately diagnosing early melanocytic lesions is challenging due to extensive intra- and inter-observer variabilities. Dermoscopy images are widely used to identify and study skin cancer, but the blurred boundaries between ...
Sulaiman Khan, Hazrat Ali, Zubair Shah
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Machine Graphics & Vision, 2023 Open, broken, and improperly closed manholes can pose problems for autonomous vehicles and thus need to be included in obstacle avoidance and lane-changing algorithms. In this work, we propose and compare multiple approaches for manhole localization and
Shika Rao, Nitya Mitnala
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Re-Introducing BN Into Transformers for Vision Tasks
IEEE Access, 2023 In recent years, Transformer-based models have exhibited significant advancements over previous models in natural language processing and vision tasks. This powerful methodology has also been extended to the 3D point cloud domain, where it can mitigate ...
Xue-Song Tang, Xian-Lin Xie
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Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
CAAI Artificial Intelligence Research, 2023 Most polyp segmentation methods use convolutional neural networks (CNNs) as their backbone, leading to two key issues when exchanging information between the encoder and decoder: (1) taking into account the differences in contribution between different ...
Bo Dong +5 more
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BUViTNet: Breast Ultrasound Detection via Vision Transformers
Diagnostics, 2022 Convolutional neural networks (CNNs) have enhanced ultrasound image-based early breast cancer detection. Vision transformers (ViTs) have recently surpassed CNNs as the most effective method for natural image analysis. ViTs have proven their capability of
Gelan Ayana, Se-woon Choe
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Survey of Vision Transformers(ViT) [PDF]
Jisuanji kexueThe Vision Transformer(ViT),an application of the Transformer architecture with an encoder-decoder structure,has garnered remarkable success in the field of computer vision.Over the past few years,research centered around ViT has witnessed a prolific ...
LI Yujie, MA Zihang, WANG Yifu, WANG Xinghe, TAN Benying
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