The recently developed transformer has been largely explored in the research field of computer vision and especially improve the performance of single object tracking. However, the majority of current efforts concentr...
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ISBN:
(纸本)9783031509582;9783031509599
The recently developed transformer has been largely explored in the research field of computer vision and especially improve the performance of single object tracking. However, the majority of current efforts concentrate on combining and enhancing convolutional neural network (CNN)-generated features and cannot fully excavating the potential of transformer. Motivated by this, we introduce multi-granularity theory into the pure transformer-based single object tracker and design a multi-granularity feature fusion module. With a view to fuse the feature of different granularity and enhance the feature representation, we design the double-branch transformer feature extractor and utilize cross-attention mechanism to fuse the feature. In our extensive experiments on multiple tracking benchmarks, including OTB2015, VOT2020, TrackingNet, GOT-10k, LaSOT, our proposed method named MGTT, the results could demonstrate that the proposed tracker achieves better performance than multiple state-of-the-art trackers.
Scheduling a scientific workflow in a cloud computing environment is a critical issue that is widely discussed in the literature, and since security is one of the most important user concerns, researchers were constan...
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Indian Food Dishes are famous around the globe. Object detection in an image is a well-known task in computer vision. Indian Food Dishes detection using deep learning-based models will maximize the impact of computer ...
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Machine learning in general, and artificial neural networks in particular have been used in many fields, and especially in cryptanalysis, showing good results for the recovery attacks on lightweight ciphers especially...
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This article introduces XiaoTian, a quadrupedal robot with high mobility, dynamic motion skills, and autonomous ability. The robot uses backdriveable joint actuators with high force density, and robustness to impacts ...
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Segmentation of retinal layers in three-dimensional optical coherence tomography (3D-OCT) images plays a pivotal role in disease identification and prognosis. For instance, analyzing variations in layer curvature with...
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In the emergency situations like war, natural calamity, disaster, etc., the existing networks may be demolished. Therefore in order to rehabilitate and perform the basic operations, a network is set up temporarily for...
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A pelvic-assisted walking training robot is proposed for individuals with walking difficulties, such as hemiplegic patients and the elderly. Firstly, an innovative overall structure of the pelvic-assisted walking trai...
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Due to rapid advancements in technology, the financial sector has experienced significant changes in the last few decades. In particular, financial technology (FinTech) has revolutionized the financial services indust...
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Despite advances in Artificial Intelligence and Machine Learning (AI/ML) for automatic target recognition (ATR) using surveillance radar, there remain significant challenges to robust and accurate perception in operat...
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