Papers Video Shadow Detection
“Video Shadow Detection” 태그가 달린 논문 10편 · 필터 해제
When SAM2 Meets Video Shadow and Mirror Detection
As the successor to the Segment Anything Model (SAM), the Segment Anything Model 2 (SAM2) not only improves performance in image segmentation but also extends its capabilities to video segmentation. However, its effectiv…
Image SegmentationMirror DetectionSegmentationSemantic Segmentation+4Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning Era
Shadows are created when light encounters obstacles, resulting in regions of reduced illumination. In computer vision, detecting, removing, and generating shadows are critical tasks for improving scene understanding, enh…
Scene UnderstandingShadow DetectionSurveyVideo Editing+1Timeline and Boundary Guided Diffusion Network for Video Shadow Detection
Video Shadow Detection (VSD) aims to detect the shadow masks with frame sequence. Existing works suffer from inefficient temporal learning. Moreover, few works address the VSD problem by considering the characteristic (i…
Shadow DetectionVideo Shadow DetectionLanguage-Driven Interactive Shadow Detection
Traditional shadow detectors often identify all shadow regions of static images or video sequences. This work presents the Referring Video Shadow Detection (RVSD), which is an innovative task that rejuvenates the classic…
DescriptiveShadow DetectionVideo EditingVideo Shadow DetectionDetect Any Shadow: Segment Anything for Video Shadow Detection
Segment anything model (SAM) has achieved great success in the field of natural image segmentation. Nevertheless, SAM tends to consider shadows as background and therefore does not perform segmentation on them. In this p…
Image SegmentationSemantic SegmentationShadow DetectionVideo Shadow DetectionSCOTCH and SODA: A Transformer Video Shadow Detection Framework
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.…
Contrastive LearningShadow DetectionVideo Shadow DetectionLearning Shadow Correspondence for Video Shadow Detection
Video shadow detection aims to generate consistent shadow predictions among video frames. However, the current approaches suffer from inconsistent shadow predictions across frames, especially when the illumination and ba…
Shadow DetectionVideo Shadow DetectionVideo Shadow Detection via Spatio-Temporal Interpolation Consistency Training
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 in…
Shadow DetectionSpatial InterpolationVideo Shadow DetectionTemporal Feature Warping for Video Shadow Detection
While single image shadow detection has been improving rapidly in recent years, video shadow detection remains a challenging task due to data scarcity and the difficulty in modelling temporal consistency. The current vid…
Optical Flow EstimationShadow DetectionVideo Shadow DetectionTriple-cooperative Video Shadow Detection
Shadow detection in a single image has received significant research interest in recent years. However, much fewer works have been explored in shadow detection over dynamic scenes. The bottleneck is the lack of a well-es…
Saliency DetectionSemantic SegmentationShadow DetectionVideo Object Segmentation+2