Results 21 to 30 of about 15,521,488 (377)
Randaugment: Practical automated data augmentation with a reduced search space [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Recent work on automated augmentation strategies has led to state-of-the-art results in image classification and object detection. An obstacle to a large-scale adoption of these methods is that they require a separate and expensive search phase. A common
E. D. Cubuk +3 more
semanticscholar +1 more source
Attribution in Scale and Space [PDF]
Computer Vision and Pattern Recognition, 2020 We study the attribution problem for deep networks applied to perception tasks. For vision tasks, attribution techniques attribute the prediction of a network to the pixels of the input image.
Shawn Xu +2 more
semanticscholar +1 more source
Time-causal and time-recursive spatio-temporal receptive fields [PDF]
, 2015 We present an improved model and theory for time-causal and time-recursive spatio-temporal receptive fields, based on a combination of Gaussian receptive fields over the spatial domain and first-order integrators or equivalently truncated exponential ...
Lindeberg, Tony
core +2 more sources
Molecules, 2021 In this work, spherical flower-shaped composite carbonyl iron powder@MnO2 (CIP@MnO2) with CIP as the core and ultrathin MnO2 nanosheets as the shell was successfully prepared by a simple redox reaction to improve oxidation resistance and electromagnetic ...
Zhengwei Qu +12 more
doaj +1 more source
Global Distribution of Persistence of Total Electron Content Anomaly
Atmosphere, 2019 To better understand the ionospheric morphology response to lithospheric activities, we study the global location preference of the positive and negative total electron content (TEC) anomalies persisting continuously for longer than 24 h at middle and ...
Yang-Yi Sun +3 more
doaj +1 more source
IET Image Processing, 2021 An extension of Radon transform by using a measure function capturing the user need is proposed. The new transform, called scale space Radon transform, is devoted to the case where the embedded shape in the image is not filiform.
Djemel Ziou +2 more
doaj +1 more source
Volcanism and Deep Structures of the Moon
Space: Science & Technology, 2023 Volcanism is the most important endogenic geological process of the Moon, which is closely related to its internal structure and thermal history. Lunar volcanism is one of the most important topics for lunar science and explorations. Recent lunar orbital
Jiannan Zhao +8 more
doaj +1 more source
Multi-pyramid image spatial structure based on coarse-to-fine pyramid and scale space
CAAI Transactions on Intelligence Technology, 2018 Coarse-to-fine pyramid and scale space are two important image structures in the realm of image matching. However, the advantage of coarse-to-fine pyramid is neglected as the pyramid structure is usually constructed with the down sampling method in scale
Jiucheng Xu, Nan Wang, Yuyao Wang
doaj +1 more source
A robust nonlinear scale space change detection approach for SAR images [PDF]
, 2013 In this paper, we propose a change detection approach based on nonlinear scale space analysis of change images for robust detection of various changes incurred by natural phenomena and/or human activities in Synthetic Aperture Radar (SAR) images using ...
Demirkesen, Can +4 more
core +1 more source
An Objective Fabric Smoothness Assessment Method Based on a Multi-Scale Spatial Masking Model
IEEE Access, 2019 Fabric smoothness appearance assessment plays an important role in the textile and apparel industry. It remains a challenging task to evaluate the fabric smoothness objectively.
Jingan Wang +5 more
doaj +1 more source