Results 21 to 30 of about 1,001,350 (314)
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
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
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
Journal of Marine Science and Engineering, 2023 Submarine pipelines are a safe and energy-efficient mode of gas transport. However, due to the complex manufacturing process and harsh operating environment, submarine pipelines are subject to fatigue cracks under long-term cyclic loading.
Daicheng Peng +5 more
doaj +1 more source
Silhouette Vectorization by Affine Scale-Space [PDF]
Journal of Mathematical Imaging and Vision, 2021 Silhouettes or 2D planar shapes are extremely important in human communication, which involves many logos, graphics symbols and fonts in vector form. Many more shapes can be extracted from image by binarization or segmentation, thus in raster form that requires a vectorization.
Yuchen He +2 more
openaire +3 more sources
Scale-space and edge detection using anisotropic diffusion [PDF]
, 1990 The scale-space technique introduced by Witkin involves generating coarser resolution images by convolving the original image with a Gaussian kernel.
Malik, Jitendra, Perona, Pietro
core +3 more sources
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition [PDF]
Computer Vision and Pattern Recognition, 2021 Visual Place Recognition is a challenging task for robotics and autonomous systems, which must deal with the twin problems of appearance and viewpoint change in an always changing world.
Stephen Hausler +4 more
semanticscholar +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
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
A scale-space approach with wavelets to singularity estimation [PDF]
, 2005 This paper is concerned with the problem of determining the typical features of a curve when it is observed with noise. It has been shown that one can characterize the Lipschitz singularities of a signal by following the propagation across scales of the ...
Bigot, Jérémie
core +4 more sources