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

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Showing 1351–1400 of 2184 papers

TitleStatusHype
Exploring Self-Attention for Visual Odometry—0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation—0
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition—0
Duality-Gated Mutual Condition Network for RGBT Tracking—0
Skeleton-based Relational Reasoning for Group Activity Analysis—0
An Empirical Study of Visual Features for DNN based Audio-Visual Speech Enhancement in Multi-talker Environments—0
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN ScenesCode0
FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition—0
A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM—0
CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation—0
Bubblenet: A Disperse Recurrent Structure To Recognize Activities—0
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video—0
The Analysis of Facial Feature Deformation using Optical Flow Algorithm—0
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow—0
Fast Video Salient Object Detection via Spatiotemporal Knowledge Distillation—0
Tracklets Predicting Based Adaptive Graph Tracking—0
Pose And Joint-Aware Action RecognitionCode0
A Simple Baseline for Pose Tracking in Videos of Crowded Scenes—0
Towards Accurate Human Pose Estimation in Videos of Crowded Scenes—0
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features—0
Revisiting Optical Flow Estimation in 360 Videos—0
Semantic Flow-guided Motion Removal Method for Robust Mapping—0
Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection—0
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds—0
Robust Instance Tracking via Uncertainty Flow—0
Robust Isometric Non-Rigid Structure-from-Motion—0
Features Understanding in 3D CNNs for Actions Recognition in VideoCode0
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View—0
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset—0
Feature Flow: In-network Feature Flow Estimation for Video Object Detection—0
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy—0
Dual Semantic Fusion Network for Video Object Detection—0
X-ray Multimodal Intrinsic-Speckle-Tracking—0
Understanding Deformable Alignment in Video Super-Resolution—0
PRAFlow_RVC: Pyramid Recurrent All-Pairs Field Transforms for Optical Flow Estimation in Robust Vision Challenge 2020—0
Improving Deep Video Compression by Resolution-adaptive Flow Coding—0
Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking—0
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas—0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery—0
RespVAD: Voice Activity Detection via Video-Extracted Respiration PatternsCode0
ATG-PVD: Ticketing Parking Violations on A Drone—0
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation—0
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras—0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi—0
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks—0
Real-Time Sign Language Detection using Human Pose Estimation—0
Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields—0
2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework—0
A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification—0
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All datasetsSintel-cleanSintel-finalKITTI 2015 (train)KITTI 2015KITTI 2012SpringSintel Clean unsupervisedSintel Final unsupervisedKITTI 2015 unsupervisedKITTI 2012 unsupervised

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error6.64—Unverified
2FastFlowNet-ftAverage End-Point Error4.89—Unverified
3UnrolledCostAverage End-Point Error4.69—Unverified
4LiteFlowNet-ftAverage End-Point Error4.54—Unverified
5FlowNet2Average End-Point Error3.96—Unverified
6IRR-PWCAverage End-Point Error3.84—Unverified
7SelFlowAverage End-Point Error3.74—Unverified
8FDFlowNet-ftAverage End-Point Error3.71—Unverified
9ScopeFlowAverage End-Point Error3.59—Unverified
10LiteFlowNet2-ftAverage End-Point Error3.48—Unverified
#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error8.36—Unverified
2FastFlowNet-ftAverage End-Point Error6.08—Unverified
3UnrolledCostAverage End-Point Error5.8—Unverified
4MR-FlowAverage End-Point Error5.38—Unverified
5LiteFlowNet-ftAverage End-Point Error5.38—Unverified
6FDFlowNet-ftAverage End-Point Error5.11—Unverified
7LiteFlowNet2-ftAverage End-Point Error4.69—Unverified
8IRR-PWCAverage End-Point Error4.58—Unverified
9LiteFlowNet3-SAverage End-Point Error4.53—Unverified
10ContinualFlow + ftAverage End-Point Error4.52—Unverified
#ModelMetricClaimedVerifiedStatus
1PWC-NetF1-all33.7—Unverified
2FastFlowNetF1-all33.1—Unverified
3FlowNet2F1-all30—Unverified
4VCNF1-all25.1—Unverified
5HD3F1-all24—Unverified
6MaskFlowNetF1-all23.1—Unverified
7SCVF1-all19.3—Unverified
8RAPIDFlowF1-all17.7—Unverified
9CRAFTF1-all17.5—Unverified
10RAFTF1-all17.4—Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftFl-all11.22—Unverified
2UnrolledCostFl-all10.81—Unverified
3LiteFlowNet-ftFl-all9.38—Unverified
4SelFlowFl-all8.42—Unverified
5IRR-PWCFl-all7.65—Unverified
6LiteFlowNet2-ftFl-all7.62—Unverified
7LiteFlowNet3Fl-all7.34—Unverified
8LiteFlowNet3-SFl-all7.22—Unverified
9MaskFlownet-SFl-all6.81—Unverified
10RAPIDFlowFl-all6.12—Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftAverage End-Point Error1.8—Unverified
2LiteFlowNet-ftAverage End-Point Error1.6—Unverified
3IRR-PWCAverage End-Point Error1.6—Unverified
4SelFlowAverage End-Point Error1.5—Unverified
5FDFlowNet-ftAverage End-Point Error1.5—Unverified
6PWC-Net + ft - axXivAverage End-Point Error1.5—Unverified
7LiteFlowNet2-ftAverage End-Point Error1.4—Unverified
8LiteFlowNet3-SAverage End-Point Error1.3—Unverified
9LiteFlowNet3Average End-Point Error1.3—Unverified
10MaskFlownetAverage End-Point Error1.1—Unverified
#ModelMetricClaimedVerifiedStatus
1PWCNet1px total82.27—Unverified
2SPyNet1px total29.96—Unverified
3GMFlow1px total10.36—Unverified
4GMA1px total7.07—Unverified
5RAFT1px total6.79—Unverified
6FlowNet21px total6.71—Unverified
7FlowFormer1px total6.51—Unverified
8MS-RAFT+1px total5.72—Unverified
9RPKNet1px total4.81—Unverified
10DPFlow1px total3.44—Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error5.21—Unverified
2MDFlow-FastAverage End-Point Error4.73—Unverified
3UpFlowAverage End-Point Error4.68—Unverified
4ARFlow-MVAverage End-Point Error4.49—Unverified
5MDFlowAverage End-Point Error4.16—Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error6.5—Unverified
2MDFlow-FastAverage End-Point Error5.99—Unverified
3ARFlow-MVAverage End-Point Error5.67—Unverified
4MDFlowAverage End-Point Error5.46—Unverified
5UpFlowAverage End-Point Error5.32—Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVFl-all11.79—Unverified
2MDFlow-FastFl-all11.43—Unverified
3UpFlowFl-all9.38—Unverified
4MDFlowFl-all8.91—Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVAverage End-Point Error1.5—Unverified
2UpFlowAverage End-Point Error1.4—Unverified