SOTAVerified

Dense Pixel Correspondence Estimation

Papers

Showing 1117 of 17 papers

TitleStatusHype
GLU-Net: Global-Local Universal Network for Dense Flow and CorrespondencesCode1
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural NetworkCode1
Multi-Camera Multi-Person Association using Transformer-Based Dense Pixel Correspondence Estimation and Detection-Based Masking0
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep NetworksCode0
DGC-Net: Dense Geometric Correspondence NetworkCode0
Joint Recovery of Dense Correspondence and Cosegmentation in Two ImagesCode0
DeepMatching: Hierarchical Deformable Dense MatchingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SPyNetViewpoint I AEPE36.94Unverified
2COTR +Interp.Viewpoint I AEPE7.98Unverified
3COTRViewpoint I AEPE7.75Unverified
4FlowNet2Viewpoint I AEPE5.99Unverified
5DeepMatching*Viewpoint I AEPE5.84Unverified
6PWC-NetViewpoint I AEPE4.43Unverified
7DGC-Net aff+tps+homoViewpoint I AEPE1.55Unverified
8RANSAC-DMP+Viewpoint I AEPE0.48Unverified
#ModelMetricClaimedVerifiedStatus
1COTR +Interp.AEPE (rate=5)1.71Unverified
2COTRAEPE (rate=3)1.66Unverified
#ModelMetricClaimedVerifiedStatus
1COTR +Interp.Average End-Point Error2.62Unverified
2COTRAverage End-Point Error1.28Unverified
#ModelMetricClaimedVerifiedStatus
1COTR +Interp.Average End-Point Error6.12Unverified
2COTRAverage End-Point Error2.26Unverified
#ModelMetricClaimedVerifiedStatus
1SD+DINO (Zero-shot)Average PCK@0.0579.7Unverified