MT-2-Hardnet-Pretraind-all-Datasets-512-bytes-OA-Net_Matches

This page ranks the submission against all others using the same number of keypoints, regardless of descriptor size. Please hover over table headers for descriptions on metrics and full scene names.

• Phototourism: Stereo track
• Phototourism: Multiview track

Metadata

• Authors: Anonymous (to be released: 2020-6-12)
• Keypoint: mt-2
• Descriptor: hardnet (128 float32: 512 bytes)
• Number of features: 2048
• Summary: Local feature model learned via training with covariant constraint loss function. We take the top 2048 features by score. HardNet ,pre-trained on all datasets, is used as a descriptor head. Ordered-Aware(OA) Network, trained from scratch on sift-side-8k features (inlier threshold of network output = 1.0, post process method = None, with other settings set to default), is used to compute robust matches and OANet is used in place of robust model estimator.
• Paper: Anonymous (to be released: 2020-6-12)
• Website: Anonymous (to be released: 2020-6-12)
• Origin: Submission
• Flags: is_submission

Phototourism / Stereo track

{
    "use_custom_matches": true,
    "custom_matches_name": "oanet-trained-from-scratch+gm-inlier-threshol-1.0-post-processing-none",
    "geom": {
        "method": "cv2-8pt"
    }
}

We show the inliers that survive the robust estimation loop (i.e. RANSAC), or those supplied with the submission if using custom matches, and use the depth estimates to determine whether they are correct. We draw matches above a 5-pixel error threshold in red, and those below are color-coded by their error, from 0 (green) to 5 pixels (yellow). Matches for which we do not have depth estimates are drawn in blue. Please note that the depth maps are estimates and may contain errors.

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— british museum —

— florence cathedral side —

— lincoln memorial statue —

— london bridge —

— milan cathedral —

— mount rushmore —

— piazza san marco —

— sagrada familia —

— saint paul's cathedral —

Phototourism / Multiview track

{
    "use_custom_matches": true,
    "custom_matches_name": "oanet-trained-from-scratch+gm-inlier-threshol-1.0-post-processing-none",
    "colmap": {}
}

In the multi-view track we reconstruct the scene with Structure-from-Motion (Colmap) with small sets of images. We show the results for one bag of 25 images (displaying: 10). Keypoints are drawn in blue if they are part of the model, and in red otherwise.

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— british museum —

— florence cathedral side —

— lincoln memorial statue —

— london bridge —

— milan cathedral —

— mount rushmore —

— piazza san marco —

— sagrada familia —

— saint paul's cathedral —