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 76100 of 212 papers

TitleStatusHype
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation0
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes0
Dynamics Enhanced Multi-Camera Motion Segmentation From Unsynchronized Videos0
Community Recovery in Hypergraphs0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction0
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos0
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
A Continuous Occlusion Model for Road Scene Understanding0
DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation0
Joint SFM and Detection Cues for Monocular 3D Localization in Road Scenes0
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots0
Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces0
Joint Semantic and Motion Segmentation for dynamic scenes using Deep Convolutional Networks0
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects0
Distributed Low-rank Subspace Segmentation0
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices0
Large Displacement Optical Flow from Nearest Neighbor Fields0
Joint Motion Segmentation and Background Estimation in Dynamic Scenes0
Learned Trajectory Embedding for Subspace Clustering0
Jointly learning visual motion and confidence from local patches in event cameras0
Learning event representations for temporal segmentation of image sequences by dynamic graph embedding0
Learning Motion Patterns in Videos0
Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces0
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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