SOTAVerified

Video Segmentation

Papers

Showing 201225 of 388 papers

TitleStatusHype
Deeply Interleaved Two-Stream Encoder for Referring Video Segmentation0
In-N-Out Generative Learning for Dense Unsupervised Video SegmentationCode1
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools SegmentationCode3
DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation0
Local-Global Context Aware Transformer for Language-Guided Video SegmentationCode1
Object discovery and representation networksCode0
RankSeg: Adaptive Pixel Classification with Image Category Ranking for SegmentationCode1
Efficient Video Segmentation Models with Per-frame Inference0
Box Supervised Video Segmentation Proposal NetworkCode0
Borrowing from yourself: Faster future video segmentation with partial channel updateCode0
Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device0
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset0
Mask2Former for Video Instance SegmentationCode2
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
Perceptual Consistency in Video Segmentation0
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic SegmentationCode1
Temporally stable video segmentation without video annotations0
ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation0
A Survey on Deep Learning Technique for Video SegmentationCode1
Coarse to Fine Multi-Resolution Temporal Convolutional NetworkCode1
Cross-Modal Progressive Comprehension for Referring SegmentationCode1
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos0
Flow-based Video Segmentation for Human Head and ShouldersCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86Unverified