SOTAVerified

Motion Segmentation

Motion Segmentation is an essential task in many applications in Computer Vision and Robotics, such as surveillance, action recognition and scene understanding. The classic way to state the problem is the following: given a set of feature points that are tracked through a sequence of images, the goal is to cluster those trajectories according to the different motions they belong to. It is assumed that the scene contains multiple objects that are moving rigidly and independently in 3D-space.

Source: Robust Motion Segmentation from Pairwise Matches

Papers

Showing 131140 of 212 papers

TitleStatusHype
Motion-based Object Segmentation based on Dense RGB-D Scene FlowCode0
Image Segmentation Using Subspace Representation and Sparse Decomposition0
Motion Segmentation by Exploiting Complementary Geometric ModelsCode0
Fast Piecewise-Affine Motion Estimation Without Segmentation0
Self-Supervised Relative Depth Learning for Urban Scene Understanding0
Learning to Segment Moving Objects0
CUR Decompositions, Similarity Matrices, and Subspace Clustering0
Dynamics Enhanced Multi-Camera Motion Segmentation From Unsynchronized Videos0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving0
Community Recovery in Hypergraphs0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Rule BasedAccuracy90Unverified
2Rel-Att-GCNAccuracy89Unverified
3MRGCNAccuracy86Unverified
4MRGCN-LSTMAccuracy72Unverified
5St-RNNAccuracy63Unverified
#ModelMetricClaimedVerifiedStatus
1SSCClassification Error2.18Unverified
2T-LinkageClassification Error1.97Unverified
3RSIMClassification Error1.01Unverified
4MVCClassification Error0.31Unverified
#ModelMetricClaimedVerifiedStatus
1MultiViewClusteringError7.92Unverified
#ModelMetricClaimedVerifiedStatus
1MVCClassification Error0.65Unverified