AI Paper Atlas

Research map / 3D vision / Depth and stereo

PATS: Patch Area Transportation With Subdivision for Local Feature Matching

CVPR 2023 · 3D vision › Depth and stereo · approach: Dense feature matching for correspondence · 33 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use patch area transportation with subdivisionLocal feature matching · ScanNetPose estimation AUC @5°: 25.6 -> 26.0Helped
Use patch area transportation with subdivisionLocal feature matching · YFCC100MPose estimation AUC @5°: 44.5 -> 47.0Helped
Use patch area transportation with subdivisionLocal feature matching · Extreme-scale MegaDepth (1600)Pose estimation AUC @5°: 51.8 -> 57.2Helped
Use patch area transportation with subdivisionLocal feature matching · Extreme-scale MegaDepth (320)Matching coverage (%): 24.7 -> 77.3Helped
Use patch area transportation with subdivisionLocal feature matching · Extreme-scale MegaDepth (320)Matching precision (%): 77.7 -> 85.9Helped
Add target-patch area regression (ablation)PATS, L=2 · MegaDepthPose estimation AUC @5°: 50.7 -> 51.9Helped
Add patch area transportation rather than feature-similarity expectation (ablation)PATS, L=2 · MegaDepthPose estimation AUC @5°: 40.1 -> 51.9Helped
Add patch concentration loss (ablation)PATS, L=2 · MegaDepthPose estimation AUC @5°: 41.6 -> 51.9Helped
Add outlier patch loss (ablation)PATS, L=2 · MegaDepthPose estimation AUC @5°: 36.3 -> 51.9Helped
Add inlier/outlier patch splitting (ablation)PATS, L=2 · MegaDepthPose estimation AUC @5°: 50.9 -> 51.9Helped
Increase hierarchy count from 1 to 2 (ablation)PATS · MegaDepthPose estimation AUC @5°: 0.7 -> 51.9Helped
Increase hierarchy count from 2 to 3 (ablation)PATS · MegaDepthPose estimation AUC @5°: 51.9 -> 61.1Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy