Results 11 to 20 of about 25,150 (262)
Vision Transformer in Industrial Visual Inspection
Applied Sciences (Switzerland), 2022 Artificial intelligence as an approach to visual inspection in industrial applications has been considered for decades. Recent successes, driven by advances in deep learning, present a potential paradigm shift and have the potential to facilitate an ...
Tobias Meisen +2 more
exaly +3 more sources
Distinguishing Malicious Drones Using Vision Transformer
AI, 2022 Drones are commonly used in numerous applications, such as surveillance, navigation, spraying pesticides in autonomous agricultural systems, various military services, etc., due to their variable sizes and workloads.
Sonain Jamil +2 more
exaly +3 more sources
Privacy-Preserving Semantic Segmentation Using Vision Transformer
Journal of Imaging, 2022 In this paper, we propose a privacy-preserving semantic segmentation method that uses encrypted images and models with the vision transformer (ViT), called the segmentation transformer (SETR).
Shoko Imaizumi +2 more
exaly +3 more sources
Gait-ViT: Gait Recognition with Vision Transformer
Sensors, 2022 Identifying an individual based on their physical/behavioral characteristics is known as biometric recognition. Gait is one of the most reliable biometrics due to its advantages, such as being perceivable at a long distance and difficult to replicate ...
Kalaiarasi Sonai Muthu Anbananthen +2 more
exaly +3 more sources
Review of Transformer in Computer Vision [PDF]
Jisuanji kexue, 2023 Transformer is an attention-based encoder-decoder architecture.Due to its long-range sequence modeling and parallel computing capability,Transformer have made a significant breakthrough in natural language processing and is gradually expanding to ...
CHEN Luoxuan, LIN Chengchuang, ZHENG Zhaoliang, MO Zefeng, HUANG Xinyi, ZHAO Gansen
doaj +1 more source
ViTT: Vision Transformer Tracker
Sensors, 2021 This paper presents a new model for multi-object tracking (MOT) with a transformer. MOT is a spatiotemporal correlation task among interest objects and one of the crucial technologies of multi-unmanned aerial vehicles (Multi-UAV).
Xiaoning Zhu +4 more
doaj +1 more source
Remote Sensing, 2023 Efficient and accurate rice identification based on high spatial and temporal resolution remote sensing imagery is essential for achieving precision agriculture and ensuring food security.
Huiyao Xu, Jia Song, Yunqiang Zhu
doaj +1 more source
Multiscale Vision Transformers [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Technical ...
Haoqi Fan 0001 +6 more
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CSiT: A Multiscale Vision Transformer for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The hyperspectral image (HSI) has nearly continuous spectral information; thus, the target of interest can be accurately identified by the subtle details of spectral properties.
Wenxuan He +4 more
doaj +1 more source
Transformers in Vision: A Survey [PDF]
ACM Computing Surveys, 2022 Astounding results from Transformer models on natural language tasks have intrigued the vision community to study their application to computer vision problems. Among their salient benefits, Transformers enable modeling long dependencies between input sequence elements and support parallel processing of sequence as compared to recurrent networks, e.g.,
Salman H. Khan 0001 +5 more
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