Interactive Video Object Segmentation
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Benchmarks
DAVIS 2017
Most implemented
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
Video Object Segmentation using Space-Time Memory Networks
Segment Anything Meets Point Tracking
Revisiting Click-based Interactive Video Object Segmentation
Papers
SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking
Surgical scene understanding demands temporally consistent tracking of instruments and tissues. For clinical use, such tracking should generalize to new centers and procedure types, yet retraining for each of them is cos…
Interactive Video Object SegmentationZero-shot GeneralizationVideo SegmentationCorrespondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
Large vision models like the Segment Anything Model (SAM) exhibit significant limitations when applied to downstream tasks in the wild. Consequently, reference segmentation, which leverages reference images and their cor…
Interactive Video Object SegmentationTraining-Free Robust Interactive Video Object Segmentation
Interactive video object segmentation is a crucial video task, having various applications from video editing to data annotating. However, current approaches struggle to accurately segment objects across diverse domains.…
Interactive Video Object SegmentationObjectPoint TrackingSegmentation+5Explore Synergistic Interaction Across Frames for Interactive Video Object Segmentation
Interactive Video Object Segmentation (iVOS) is a challenging task that requires real-time human-computer interaction. To improve the user experience, it is important to consider the user's input habits, segmentation qua…
Interactive Video Object SegmentationSemantic SegmentationVideo Object SegmentationVideo Semantic SegmentationSegment Anything Meets Point Tracking
The Segment Anything Model (SAM) has established itself as a powerful zero-shot image segmentation model, enabled by efficient point-centric annotation and prompt-based models. While click and brush interactions are both…
Interactive Video Object SegmentationObjectPoint TrackingSegmentation+4Revisiting Click-based Interactive Video Object Segmentation
While current methods for interactive Video Object Segmentation (iVOS) rely on scribble-based interactions to generate precise object masks, we propose a Click-based interactive Video Object Segmentation (CiVOS) framewor…
Interactive Video Object SegmentationObjectSegmentationSemantic Segmentation+2