… video instance shadow detection framework that leverages both labeled image data and
unlabeled video … data, identifies shadow and object instances through contrastive learning for …

… For instance, in the case of TVSD [20], detecting shadows in the current frame requires the
empirical selection of the subsequent five frames to facilitate inter-frame interactions, which …

… we collect a new video shadow detection dataset (ViSha), which contains 120 videos with 11,
… Besides, as shown in Table 1, there are 95 videos having more than one shadow instance, …

… datasets primarily consist of isolated and dominant shadow instances, which do not …
video shadow detection in the wild, we build a new dataset named Complex Video Shadow …

… shadows (a), the problem of instance shadow detection is to detect the individual shadow
instances (c) and the individual object instances (d), as well as to associate the shadows with …

… four task families: shadow detection, instance shadow detection, shadow removal, and …
This paper surveys the landscape of image and video shadow detection, removal, and …

… -stage detector to perform instance shadow detection in an end-… in the detector to directly
learn the relation between shadow … video shadow detection network to detect shadows in videos…

… Wang, T., Hu, X., Fu, CW, Heng, PA: Single-stage instance shadow detection with bidirectional
relation learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and …

… video shadow detection method \(\text {I}^{2}\text {VSD}\) with two main designs by fully exploring
the intra-video and inter-video … -Instance, we count the number of shadow instances per …

… for video shadow detection, instance shadow detection, … Instance shadow detection is a
subtask of shadow detection, and the goal of the current instance shadow detection is to detect …