Video Semantic Segmentation
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Benchmarks
Most implemented
Pyramid Scene Parsing Network
Fully Convolutional Networks for Semantic Segmentation
SAM 2: Segment Anything in Images and Videos
Mask2Former for Video Instance Segmentation
Papers
Surgical Anatomy Recognition with Context Learning using Foundation Representations
Accurate recognition of anatomical structures is essential for safe and effective minimally invasive surgery (MIS), yet it remains underexplored in surgical computer vision due to limited annotated data and methods tailo…
Video Semantic SegmentationScene UnderstandingObject TrackingZero-Parameter Geometric Gating for Temporally Stable Low-Altitude UAV Video Semantic Segmentation
Video semantic segmentation for low-altitude UAVs requires temporal consistency, yet dense optical flow introduces spatially structured noise in the planar regions that dominate aerial imagery. We propose a zero-paramete…
Video Semantic SegmentationSemantic SimilaritySeeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation
Vision-language-action (VLA) models typically rely on large-scale real-world videos, whereas simulated data, despite being inexpensive and highly parallelizable to collect, often suffers from a substantial visual domain …
Video Semantic SegmentationData AugmentationVideo CaptioningBootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation
Fully supervised Video Semantic Segmentation (VSS) relies heavily on densely annotated video data, limiting practical applicability. Alternatively, applying pre-trained Image Semantic Segmentation (ISS) models frame-by-f…
Video Semantic SegmentationTest-time AdaptationCan Unsupervised Segmentation Reduce Annotation Costs for Video Semantic Segmentation?
Present-day deep neural networks for video semantic segmentation require a large number of fine-grained pixel-level annotations to achieve the best possible results. Obtaining such annotations, however, is very expensive…
Video Semantic SegmentationVideo SegmentationRS-SSM: Refining Forgotten Specifics in State Space Model for Video Semantic Segmentation
Recently, state space models have demonstrated efficient video segmentation through linear-complexity state space compression. However, Video Semantic Segmentation (VSS) requires pixel-level spatiotemporal modeling capab…
Video Semantic SegmentationComputational EfficiencyVideo Segmentation