SOTAVerified

Video Segmentation

Papers

Showing 2650 of 388 papers

TitleStatusHype
Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any GranularityCode2
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2Code2
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 ModelCode2
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame PruningCode2
Decoupling Static and Hierarchical Motion Perception for Referring Video SegmentationCode2
DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor QueriesCode2
MemSAM: Taming Segment Anything Model for Echocardiography Video SegmentationCode2
MeViS: A Large-scale Benchmark for Video Segmentation with Motion ExpressionsCode2
XMem++: Production-level Video Segmentation From Few Annotated FramesCode2
InstMove: Instance Motion for Object-centric Video SegmentationCode2
Mask2Former for Video Instance SegmentationCode2
Simplifying Object Segmentation with PixelLib LibraryCode2
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language TranslationCode2
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training CostCode1
Unlocking the Power of SAM 2 for Few-Shot SegmentationCode1
TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in ActionCode1
DC-SAM: In-Context Segment Anything in Images and Videos via Dual ConsistencyCode1
CamSAM2: Segment Anything Accurately in Camouflaged VideosCode1
BST: Badminton Stroke-type Transformer for Skeleton-based Action Recognition in Racket SportsCode1
SASVi - Segment Any Surgical VideoCode1
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object SegmentationCode1
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural NetworksCode1
VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video CaptioningCode1
Multi-Granularity Video Object SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86Unverified