Motion Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 62 papers with code (212 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• FlowNet3D: Learning Scene Flow in 3D Point Clouds
  4 Jun 2018 10 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  In this work, we propose a novel deep neural network named FlowNet3D that learns scene flow from point clouds in an end-to-end fashion.
• Sparse Subspace Clustering: Algorithm, Theory, and Applications
  5 Mar 2012 4 repositories listed
  In this paper, we propose and study an algorithm, called Sparse Subspace Clustering (SSC), to cluster data points that lie in a union of low-dimensional subspaces.
• EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
  29 Sep 2019 3 repositories listed
  To handle the nonrigid background like a sea, we also propose a robust fusion mechanism between motion and appearance-based features.
• Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
  2 Mar 2022 2 repositories listed Syntology ran 2 of 12 samples · 10 unverified
  Scene flow allows autonomous vehicles to reason about the arbitrary motion of multiple independent objects which is the key to long-term mobile autonomy.
• Moving Objects Detection with a Moving Camera: A Comprehensive Review
  15 Jan 2020 2 repositories listed
  During about 30 years, a lot of research teams have worked on the big challenge of detection of moving objects in various challenging environments.
• Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm
  5 Jun 2019 2 repositories listed
  The Progressive-X algorithm, Prog-X in short, is proposed for geometric multi-model fitting.
• KDMOS:Knowledge Distillation for Motion Segmentation
  17 Jun 2025 1 repository listed
  To handle the severe imbalance between moving and non-moving classes, we decouple them and apply tailored distillation strategies, allowing the teacher model to better learn key motion-related features.
• FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity
  9 Jun 2025 1 repository listed Syntology ran 7 of 8 samples · 1 unverified · 8 pointer-only (licence)
  In this paper, we aim to model 3D scene geometry, appearance, and the underlying physics purely from multi-view videos.
• Iterative Event-based Motion Segmentation by Variational Contrast Maximization
  25 Apr 2025 1 repository listed
  Event cameras provide rich signals that are suitable for motion estimation since they respond to changes in the scene.
• Wandering around: A bioinspired approach to visual attention through object motion sensitivity
  10 Feb 2025 1 repository listed
  Active vision enables dynamic visual perception, offering an alternative to static feedforward architectures in computer vision, which rely on large datasets and high computational resources.
• CV-MOS: A Cross-View Model for Motion Segmentation
  25 Aug 2024 1 repository listed
  When performing the motion object segmentation (MOS) task, effectively leveraging motion information from objects becomes a primary challenge in improving the recognition of moving objects.
• Motion Segmentation for Neuromorphic Aerial Surveillance
  24 May 2024 1 repository listed
  Aerial surveillance demands rapid and precise detection of moving objects in dynamic environments.
• MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos
  23 May 2024 1 repository listed Syntology ran 7 of 7 samples · 0 unverified
  As such, prior work has looked at unsupervised instance detection and segmentation, but in the absence of annotated boxes, it is unclear how pixels must be grouped into objects and which objects are of interest.
• Moving Object Segmentation: All You Need Is SAM (and Flow)
  18 Apr 2024 1 repository listed
  The objective of this paper is motion segmentation -- discovering and segmenting the moving objects in a video.
• Motion2Language, unsupervised learning of synchronized semantic motion segmentation
  16 Oct 2023 1 repository listed
  We find that both contributions to the attention mechanism and the encoder architecture additively improve the quality of generated text (BLEU and semantic equivalence), but also of synchronization.
• RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud
  18 Sep 2023 1 repository listed
  Mobile autonomy relies on the precise perception of dynamic environments.
• A Multi-Scale Recurrent Framework for Motion Segmentation With Event Camera
  28 Jul 2023 1 repository listed
  Motion segmentation is a formidable computer vision task, aiming to segment moving targets from a dynamic scene.
• Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
  17 Apr 2023 1 repository listed
  The Gestalt law of common fate, i.
• Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
  1 Mar 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  This work proposes a novel approach to 4D radar-based scene flow estimation via cross-modal learning.
• Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
  1 Jan 2023 1 repository listed
  In this paper, we propose an original unsupervised spatio-temporal framework for motion segmentation from optical flow that fully investigates the temporal dimension of the problem.
• GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow
  7 Oct 2022 1 repository listed
  Scene flow represents the motion information of each point in the 3D point clouds.
• DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments
  17 Sep 2022 1 repository listed Syntology ran 3 of 16 samples · 13 unverified
  Learning-based visual odometry (VO) algorithms achieve remarkable performance on common static scenes, benefiting from high-capacity models and massive annotated data, but tend to fail in dynamic, populated environments.
• ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
  19 Jul 2022 1 repository listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)
  In addition, our method is able to retain reasonable accuracy of camera poses on fully static scenes, which consistently outperforms strong state-of-the-art dense correspondence based methods with end-to-end deep…
• Segmenting Moving Objects via an Object-Centric Layered Representation
  5 Jul 2022 1 repository listed Syntology ran 16 of 21 samples · 5 unverified
  The objective of this paper is a model that is able to discover, track and segment multiple moving objects in a video.
• Discovering Objects that Can Move
  18 Mar 2022 1 repository listed
  Our experiments demonstrate that, despite only capturing a small subset of the objects that move, this signal is enough to generalize to segment both moving and static instances of dynamic objects.
• HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
  3 Mar 2022 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  We present HOI4D, a large-scale 4D egocentric dataset with rich annotations, to catalyze the research of category-level human-object interaction.
• EM-driven unsupervised learning for efficient motion segmentation
  6 Jan 2022 1 repository listed
  The core idea of our work is to leverage the Expectation-Maximization (EM) framework in order to design in a well-founded manner a loss function and a training procedure of our motion segmentation neural network that…
• Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow
  12 Dec 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Event cameras are novel bio-inspired sensors that measure per-pixel brightness differences asynchronously.
• Monocular Arbitrary Moving Object Discovery and Segmentation
  22 Nov 2021 1 repository listed
  We propose a method for discovery and segmentation of objects that are, or their parts are, independently moving in the scene.
• Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting
  5 Nov 2021 1 repository listed
  In this paper, we present a cascaded two-level multi-model fitting method for identifying independently moving objects (i.

Syntology lines on 10 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.