SOTAVerified

Optical Flow Estimation

Optical Flow Estimation is a computer vision task that involves computing the motion of objects in an image or a video sequence. The goal of optical flow estimation is to determine the movement of pixels or features in the image, which can be used for various applications such as object tracking, motion analysis, and video compression.

Approaches for optical flow estimation include correlation-based, block-matching, feature tracking, energy-based, and more recently gradient-based.

Further readings:

Definition source: Devon: Deformable Volume Network for Learning Optical Flow

Image credit: Optical Flow Estimation

Papers

Showing 601650 of 2184 papers

TitleStatusHype
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow EstimationCode0
Cross Modal Distillation for Supervision TransferCode0
A torus model for optical flowCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event EntrancesCode0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
Cross and Learn: Cross-Modal Self-SupervisionCode0
Creative Flow+ DatasetCode0
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision FarmingCode0
MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundlesCode0
MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion RecognitionCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Meta Learning Deep Visual Words for Fast Video Object SegmentationCode0
A Fusion Approach for Multi-Frame Optical Flow EstimationCode0
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video ArchitecturesCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
Correlation Flow: Robust Optical Flow Using Kernel Cross-CorrelatorsCode0
MARS: Motion-Augmented RGB Stream for Action RecognitionCode0
Machine Learning Modeling for Multi-order Human Visual Motion ProcessingCode0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
Accurate and efficient video de-fencing using convolutional neural networks and temporal informationCode0
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression RecognitionCode0
Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action DetectionCode0
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow EstimationCode0
A Framework for Event-based Computer Vision on a Mobile DeviceCode0
Long-term Temporal Convolutions for Action RecognitionCode0
Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual OdometryCode0
Let's Dance: Learning From Online Dance VideosCode0
Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation SparsificationCode0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Conditional Prior Networks for Optical FlowCode0
Learning Temporal Pose Estimation from Sparsely-Labeled VideosCode0
Learning Task-Specific Generalized Convolutions in the Permutohedral LatticeCode0
Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep LearningCode0
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field EstimationCode0
Low-light Environment Neural SurveillanceCode0
Multimodal Deep Models for Predicting Affective Responses Evoked by MoviesCode0
Learning on the Edge: Explicit Boundary Handling in CNNsCode0
Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background SeparationCode0
Learning Optical Expansion From Scale MatchingCode0
Learning Multi-Human Optical FlowCode0
Real-Time Image Analysis Software Suitable for Resource-Constrained ComputingCode0
Learning Human Optical FlowCode0
Kinematics Modeling Network for Video-based Human Pose EstimationCode0
Complementing Brightness Constancy with Deep Networks for Optical Flow PredictionCode0
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual ContextCode0
Learning End-To-End Scene Flow by Distilling Single Tasks KnowledgeCode0
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion SegmentationCode0
Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block MatchingCode0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error6.64Unverified
2FastFlowNet-ftAverage End-Point Error4.89Unverified
3UnrolledCostAverage End-Point Error4.69Unverified
4LiteFlowNet-ftAverage End-Point Error4.54Unverified
5FlowNet2Average End-Point Error3.96Unverified
6IRR-PWCAverage End-Point Error3.84Unverified
7SelFlowAverage End-Point Error3.74Unverified
8FDFlowNet-ftAverage End-Point Error3.71Unverified
9ScopeFlowAverage End-Point Error3.59Unverified
10LiteFlowNet2-ftAverage End-Point Error3.48Unverified
#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error8.36Unverified
2FastFlowNet-ftAverage End-Point Error6.08Unverified
3UnrolledCostAverage End-Point Error5.8Unverified
4MR-FlowAverage End-Point Error5.38Unverified
5LiteFlowNet-ftAverage End-Point Error5.38Unverified
6FDFlowNet-ftAverage End-Point Error5.11Unverified
7LiteFlowNet2-ftAverage End-Point Error4.69Unverified
8IRR-PWCAverage End-Point Error4.58Unverified
9LiteFlowNet3-SAverage End-Point Error4.53Unverified
10ContinualFlow + ftAverage End-Point Error4.52Unverified
#ModelMetricClaimedVerifiedStatus
1PWC-NetF1-all33.7Unverified
2FastFlowNetF1-all33.1Unverified
3FlowNet2F1-all30Unverified
4VCNF1-all25.1Unverified
5HD3F1-all24Unverified
6MaskFlowNetF1-all23.1Unverified
7SCVF1-all19.3Unverified
8RAPIDFlowF1-all17.7Unverified
9CRAFTF1-all17.5Unverified
10RAFTF1-all17.4Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftFl-all11.22Unverified
2UnrolledCostFl-all10.81Unverified
3LiteFlowNet-ftFl-all9.38Unverified
4SelFlowFl-all8.42Unverified
5IRR-PWCFl-all7.65Unverified
6LiteFlowNet2-ftFl-all7.62Unverified
7LiteFlowNet3Fl-all7.34Unverified
8LiteFlowNet3-SFl-all7.22Unverified
9MaskFlownet-SFl-all6.81Unverified
10RAPIDFlowFl-all6.12Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftAverage End-Point Error1.8Unverified
2LiteFlowNet-ftAverage End-Point Error1.6Unverified
3IRR-PWCAverage End-Point Error1.6Unverified
4SelFlowAverage End-Point Error1.5Unverified
5FDFlowNet-ftAverage End-Point Error1.5Unverified
6PWC-Net + ft - axXivAverage End-Point Error1.5Unverified
7LiteFlowNet2-ftAverage End-Point Error1.4Unverified
8LiteFlowNet3-SAverage End-Point Error1.3Unverified
9LiteFlowNet3Average End-Point Error1.3Unverified
10MaskFlownetAverage End-Point Error1.1Unverified
#ModelMetricClaimedVerifiedStatus
1PWCNet1px total82.27Unverified
2SPyNet1px total29.96Unverified
3GMFlow1px total10.36Unverified
4GMA1px total7.07Unverified
5RAFT1px total6.79Unverified
6FlowNet21px total6.71Unverified
7FlowFormer1px total6.51Unverified
8MS-RAFT+1px total5.72Unverified
9RPKNet1px total4.81Unverified
10DPFlow1px total3.44Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error5.21Unverified
2MDFlow-FastAverage End-Point Error4.73Unverified
3UpFlowAverage End-Point Error4.68Unverified
4ARFlow-MVAverage End-Point Error4.49Unverified
5MDFlowAverage End-Point Error4.16Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error6.5Unverified
2MDFlow-FastAverage End-Point Error5.99Unverified
3ARFlow-MVAverage End-Point Error5.67Unverified
4MDFlowAverage End-Point Error5.46Unverified
5UpFlowAverage End-Point Error5.32Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVFl-all11.79Unverified
2MDFlow-FastFl-all11.43Unverified
3UpFlowFl-all9.38Unverified
4MDFlowFl-all8.91Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVAverage End-Point Error1.5Unverified
2UpFlowAverage End-Point Error1.4Unverified