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1. Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position

   https://doi.org/10.24963/ijcai.2020/111  

   Ma, Xu ; Fu, Song ( July 2020 , Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence)

   null (Ed.)

   We present a new method to improve the representational power of the features in Convolutional Neural Networks (CNNs). By studying traditional image processing methods and recent CNN architectures, we propose to use positional information in CNNs for effective exploration of feature dependencies. Rather than considering feature semantics alone, we incorporate spatial positions as an augmentation for feature semantics in our design. From this vantage, we present a Position-Aware Recalibration Module (PRM in short) which recalibrates features leveraging both feature semantics and position. Furthermore, inspired by multi-head attention, our module is capable of performing multiple recalibrations where results are concatenated as the output. As PRM is efficient and easy to implement, it can be seamlessly integrated into various base networks and applied to many position-aware visual tasks. Compared to original CNNs, our PRM introduces a negligible number of parameters and FLOPs, while yielding better performance. Experimental results on ImageNet and MS COCO benchmarks show that our approach surpasses related methods by a clear margin with less computational overhead. For example, we improve the ResNet50 by absolute 1.75% (77.65% vs. 75.90%) on ImageNet 2012 validation dataset, and 1.5%~1.9% mAP on MS COCO validation dataset with almost no computational overhead. Codes are made publicly available.

    

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2. Every Glass Ceiling Has a Floor (of Interaction): Studying Body Position as an Index of Social Position in Kindergarten Classrooms.

   Silvis, D. ; Clarke-Midura, J. ; Shumway, J. ; and Lee, V.R. ( January 2022 , International Conference of the Learning Sciences)

   Classroom environments have been hot spots for studies of conversational “floor maintenance,” or the ways in which people establish interactional rights and obligations through turn-taking or topical cohesion. We know less about how the physical floor of interaction is negotiated when activities literally take place on the floor, as in Kindergarten classrooms. In floor-based learning activities, body movements, body positions, and proximity are key modalities for establishing rights and obligations for participating in tasks. This paper analyzes video of Kindergarteners engaged in a floor-based learning activity, where children moved around and positioned themselves (and others) to participate. We found that while children often leaned in to the task-space, there were occasions where they sat back, but were nonetheless productive. Referring to these latter forms of participation as “zones of productive exclusion,” we analyze how body positioning indexed children’s rights and obligations in-task. We discuss implications for analyses of the powered relations between differently-positioned bodies. 

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3. Anisotropic Turbulence in Position–Position–Velocity Space: Probing Three-dimensional Magnetic Fields

   https://doi.org/10.3847/1538-4357/ac00ab  

   Hu, Yue ; Lazarian, A. ; Xu, Siyao ( July 2021 , The Astrophysical Journal)

   null (Ed.)
4. Position-sensitive detection of ultracold neutrons with an imaging camera and its implications to spectroscopy

   https://doi.org/10.1016/j.nima.2016.05.058  

   Wei, Wanchun ; Broussard, L.J. ; Hoffbauer, M.A. ; Makela, M. ; Morris, C.L. ; Tang, Z. ; Adamek, E.R. ; Callahan, N.B. ; Clayton, S.M. ; Cude-Woods, C. ; et al ( September 2016 , Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment)

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5. On determining dead layer and detector thicknesses for a position-sensitive silicon detector

   https://doi.org/10.1016/j.nima.2017.12.082  

   Manfredi, J. ; Lee, Jenny ; Lynch, W.G. ; Niu, C.Y. ; Tsang, M.B. ; Anderson, C. ; Barney, J. ; Brown, K.W. ; Chajecki, Z. ; Chan, K.P. ; et al ( April 2018 , Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment)