Results 11 to 20 of about 6,939,271 (302)
Cross-Domain Person Re-Identification Based on Feature Fusion
IEEE Access, 2021 Person re-identification (ReID) is one of the commonly used criminal investigation methods in reconnaissance. Although the current ReID has achieved robust results on single domains, the focus of researches has shifted to cross-domain in recent years ...
Xianjun Luo +4 more
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Contextual cuing by global features [PDF]
Perception & Psychophysics, 2006 In visual search tasks, attention can be guided to a target item--appearing amidst distractors--on the basis of simple features (e.g., finding the red letter among green). Chun and Jiang's (1998) contextual cuing effect shows that reaction times (RTs) are also speeded if the spatial configuration of items in a scene is repeated over time.
Melina A, Kunar +2 more
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Global Feature and Multi-level Feature Aggregation Segmentation Algorithm for Coronary
Jisuanji kexue yu tansuo, 2021 Coronary computed tomographic angiography (CTA) image segmentation plays an important role in many practical applications, such as assisting doctors to judge vascular occlusion, vascular disease diagnosis, etc. In view of the large amount of noise in CTA
GU Jia, FANG Zhijun, TIAN Fangzheng
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Cross-Layer Triple-Branch Parallel Fusion Network for Small Object Detection in UAV Images
IEEE Access, 2023 The detection of small objects in Unmanned Aerial Vehicle (UAV) images, which contain a large number of objects with extremely small pixels, has been a major challenge over the last few decades.
Ben Liang +4 more
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A Two-Stage Correspondence-Free Algorithm for Partially Overlapping Point Cloud Registration
Sensors, 2022 Point cloud registration is a key task in the fields of 3D reconstruction and automatic driving. In recent years, many learning-based registration methods have been proposed and have higher precision and robustness compared to traditional methods ...
Wenhao Zhang, Yu Zhang, Jinlong Li
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Bias-Induced Point Auto-Encoder and Comparative Analysis of Point Encoder-Decoder Combinations
IEEE Access, 2022 As a combination of a point encoder and a decoder, a point auto-encoder (AE) facilitates the reconstruction and segmentation of the point cloud representation of 3D objects. In this paper, first, we present a novel approach to point decoding, referred to
Sukhan Lee, Wencan Cheng, Yongjun Yang
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Nested Normalizations for Decoupling Global Features [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 Global features of signals are usually coupled, in the sense that not every combination of features' values is mathematically possible. The existence of forbidden combinations complicates the topology of the joint feature vector set, and precludes an interpretation of features as independent descriptors. Another consequence is that there is no easy and
Javier Portilla +1 more
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Decomposing Global Feature Effects Based on Feature Interactions
J. Mach. Learn. Res., 2023 Global feature effect methods, such as partial dependence plots, provide an intelligible visualization of the expected marginal feature effect. However, such global feature effect methods can be misleading, as they do not represent local feature effects of single observations well when feature interactions are present. We formally introduce generalized
Julia Herbinger +4 more
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Sensors, 2021 Finding the news of same case from the large numbers of case-involved news is an important basis for public opinion analysis. Existing text clustering methods usually based on topic models which only use topic and case infomation as the global features ...
Cunli Mao +4 more
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Frontiers in Computational Neuroscience, 2021 The convolutional neural networks (CNNs) are a powerful tool of image classification that has been widely adopted in applications of automated scene segmentation and identification. However, the mechanisms underlying CNN image classification remain to be
Yufeng Zheng +4 more
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