SOTAVerified

Video Segmentation

Papers

Showing 8190 of 388 papers

TitleStatusHype
Video K-Net: A Simple, Strong, and Unified Baseline for Video SegmentationCode1
Modeling Motion with Multi-Modal Features for Text-Based Video SegmentationCode1
In-N-Out Generative Learning for Dense Unsupervised Video SegmentationCode1
Local-Global Context Aware Transformer for Language-Guided Video SegmentationCode1
RankSeg: Adaptive Pixel Classification with Image Category Ranking for SegmentationCode1
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in VideosCode1
Dense Unsupervised Learning for Video SegmentationCode1
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic SegmentationCode1
A Survey on Deep Learning Technique for Video SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86Unverified