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
Motion Segmentation using Frequency Domain Transformer NetworksCode1
Distilled Semantics for Comprehensive Scene Understanding from VideosCode1
Progressive-X: Efficient, Anytime, Multi-Model Fitting AlgorithmCode1
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching VideosCode1
Event-Based Motion Segmentation by Motion CompensationCode1
FlowNet3D: Learning Scene Flow in 3D Point CloudsCode1
Sparse Subspace Clustering: Algorithm, Theory, and ApplicationsCode1
Channel-wise Motion Features for Efficient Motion Segmentation0
Temporal Rate Reduction Clustering for Human Motion Segmentation0
KDMOS:Knowledge Distillation for Motion SegmentationCode0
EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras0
Event-based Egocentric Human Pose Estimation in Dynamic Environment0
Iterative Event-based Motion Segmentation by Variational Contrast MaximizationCode0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation0
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