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 5175 of 212 papers

TitleStatusHype
EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms0
Quantum Motion Segmentation0
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation0
Discovering Objects that Can MoveCode1
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object InteractionCode1
Self-Supervised Scene Flow Estimation with 4-D Automotive RadarCode1
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields0
Consistency and Diversity induced Human Motion Segmentation0
EM-driven unsupervised learning for efficient motion segmentationCode1
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical FlowCode1
Monocular Arbitrary Moving Object Discovery and SegmentationCode1
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation0
Event-based Motion Segmentation by Cascaded Two-Level Multi-Model FittingCode1
Unsupervised Object Learning via Common FateCode0
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation0
NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction0
Graph Constrained Data Representation Learning for Human Motion SegmentationCode0
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving0
On Matrix Factorizations in Subspace ClusteringCode0
Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure0
Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active LearningCode0
Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation0
SpikeMS: Deep Spiking Neural Network for Motion Segmentation0
Local Frequency Domain Transformer Networks for Video PredictionCode1
Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery0
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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