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 4150 of 212 papers

TitleStatusHype
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation0
A Continuous Occlusion Model for Road Scene Understanding0
Community Recovery in Hypergraphs0
Dynamic Body VSLAM with Semantic Constraints0
Coherent Motion Segmentation in Moving Camera Videos using Optical Flow Orientations0
Appearance-Based Refinement for Object-Centric Motion Segmentation0
3D Rigid Motion Segmentation with Mixed and Unknown Number of Models0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction0
Dynamics Enhanced Multi-Camera Motion Segmentation From Unsynchronized Videos0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation0
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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