SOTAVerified

Video Segmentation

Papers

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Showing 301–325 of 388 papers

TitleStatusHype
Automatic Foreground Extraction from Imperfect Backgrounds using Multi-Agent Consensus Equilibrium—0
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos—0
Adaptive Temporal Encoding Network for Video Instance-level Human ParsingCode0
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on VideoCode0
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation—0
Semantic Video Segmentation: A Review on Recent Approaches—0
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework—0
Few-Shot Segmentation Propagation with Guided NetworksCode0
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning—0
Superframes, A Temporal Video Segmentation—0
Dynamic Video Segmentation Network—0
Low-Latency Video Semantic Segmentation—0
Actor and Action Video Segmentation from a SentenceCode1
ISEC: Iterative over-Segmentation via Edge Clustering—0
Efficient Hierarchical Graph-Based Segmentation of RGBD VideosCode0
Interactive Video Object Segmentation in the Wild—0
Recurrent Segmentation for Variable Computational Budgets—0
Learning to Segment Human by Watching YouTube—0
Video Object Segmentation Without Temporal Information—0
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications—0
Video Object Segmentation with Re-identificationCode0
Unsupervised Semantic Scene Labeling for Streaming Data—0
Video Segmentation via Multiple Granularity Analysis—0
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos—0
Budget-Aware Deep Semantic Video Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GDHFAccuracy86.86—Unverified