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 2650 of 212 papers

TitleStatusHype
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event CameraCode1
Motion2Language, unsupervised learning of synchronized semantic motion segmentationCode1
Monocular Arbitrary Moving Object Discovery and SegmentationCode1
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingCode1
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object InteractionCode1
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching VideosCode1
EM-driven unsupervised learning for efficient motion segmentationCode1
Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment0
Context-Aware Modeling and Recognition of Activities in Video0
Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI0
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering0
Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation0
A Detailed Rubric for Motion Segmentation0
Consistency and Diversity induced Human Motion Segmentation0
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