Results 21 to 30 of about 4,979,837 (328)
SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection [PDF]
ACM Multimedia, 2023 Despite significant progress in shadow detection, current methods still struggle with the adverse impact of background color, which may lead to errors when shadows are present on complex backgrounds.
Runmin Cong +5 more
semanticscholar +1 more source
Instance Shadow Detection [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Instance shadow detection is a brand new problem, aiming to find shadow instances paired with object instances. To approach it, we first prepare a new dataset called SOBA, named after Shadow-OBject Association, with 3,623 pairs of shadow and object instances in 1,000 photos, each with individual labeled masks.
Wang, Tianyu +4 more
openaire +2 more sources
SCOTCH and SODA: A Transformer Video Shadow Detection Framework [PDF]
Computer Vision and Pattern Recognition, 2022 Shadows in videos are difficult to detect because of the large shadow deformation between frames. In this work, we argue that accounting for shadow deformation is essential when designing a video shadow detection method.
Lihao Liu +6 more
semanticscholar +1 more source
Social Network Analysis and Mining, 2022 Lobbying activity is subject to strict disclosure requirements in the USA. Failure to comply with these requirements can lead to criminal and civil penalties. It is claimed that these tight lobbying disclosure measures resulted in an increase in ‘underground lobbying’.
Ivan Slobozhan +2 more
openaire +3 more sources
Instance Shadow Detection With a Single-Stage Detector [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 This article formulates a new problem, instance shadow detection, which aims to detect shadow instance and the associated object instance that cast each shadow in the input image.
Tianyu Wang +3 more
semanticscholar +1 more source
SHADOW DETECTION FROM VERY HIGH RESOLUTON SATELLITE IMAGE USING GRABCUT SEGMENTATION AND RATIO-BAND ALGORITHMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Very-High-Resolution (VHR) satellite imagery is a powerful source of data for detecting and extracting information about urban constructions. Shadow in the VHR satellite imageries provides vital information on urban construction forms, illumination ...
N. M. S. M. Kadhim +2 more
doaj +1 more source
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training [PDF]
Computer Vision and Pattern Recognition, 2022 It is challenging to annotate large-scale datasets for supervised video shadow detection methods. Using a model trained on labeled images to the video frames directly may lead to high generalization error and temporal inconsistent results. In this paper,
Xiao Lu +7 more
semanticscholar +1 more source
IET Radar, Sonar & Navigation, 2022 Shadow has been increasingly a kind of significant aid information for object extraction and scene interpretation in synthetic aperture radar images, which makes SAR shadow detection an important issue.
Haixiang Li +4 more
doaj +1 more source
SpA-Former: Transformer image shadow detection and removal via spatial attention [PDF]
arXiv.org, 2022 In this paper, we propose an end-to-end SpA-Former to recover a shadow-free image from a single shaded image. Unlike traditional methods that require two steps for shadow detection and then shadow removal, the SpA-Former unifies these steps into one ...
Xiao Zhang, Chaonan Gu, Shangdong Zhu
semanticscholar +1 more source
Applied Sciences, 2020 Shadow often results in difficulties for subsequent image applications of multispectral satellite remote sensing images, like object recognition and change detection.
Hongyin Han +5 more
doaj +1 more source