SOTAVerified

Video Segmentation

Papers

Showing 226250 of 388 papers

TitleStatusHype
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark0
Zero-shot capability of SAM-family models for bone segmentation in CT scans0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation0
Sequential image processing methods for improving semantic video segmentation algorithms0
An Analysis of Data Transformation Effects on Segment Anything 20
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation0
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition0
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation0
5th Place Solution for YouTube-VOS Challenge 2022: Video Object Segmentation0
A Comprehensive Review of Modern Object Segmentation Approaches0
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects0
Actor and Action Modular Network for Text-based Video Segmentation0
A Fast Two Pass Multi-Value Segmentation Algorithm based on Connected Component Analysis0
A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages0
An end-to-end generative framework for video segmentation and recognition0
Appearance-Based Refinement for Object-Centric Motion Segmentation0
Approximate Policy Iteration for Budgeted Semantic Video Segmentation0
Approximating DTW with a convolutional neural network on EEG data0
Architecture Search of Dynamic Cells for Semantic Video Segmentation0
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering0
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design0
Automatic Dance Video Segmentation for Understanding Choreography0
Automatic Foreground Extraction from Imperfect Backgrounds using Multi-Agent Consensus Equilibrium0
Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection0
Automatic Real-time Background Cut for Portrait Videos0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86Unverified