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
Wandering around: A bioinspired approach to visual attention through object motion sensitivityCode0
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos0
Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking0
On Moving Object Segmentation from Monocular Video with Transformers0
RoMo: Robust Motion Segmentation Improves Structure from Motion0
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild0
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference0
CV-MOS: A Cross-View Model for Motion SegmentationCode0
Retina-Inspired Object Motion Segmentation for Event-Cameras0
Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object 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