Dense Correspondence Adaptation Artifacts
This repository stores the external artifacts for the Dense Correspondence Adaptation paper release. The source code lives in the companion GitHub repository and is released under Apache-2.0.
Contents
models/<model_tag>/merged_backbone.pt: merged timm-compatible backbone weights for trained models.metrics/<model_tag>/*.json: TAP, DAVIS VOS, and Objaverse metrics artifacts used for paper tables.paper_manifest.json: machine-readable mapping from model tags to configs, commands, expected metrics, files, and checksums.sha256sums.txt: checksum list for uploaded files.
The DINOv2 pretrained baseline uses timm/vit_base_patch14_dinov2.lvd142m at revision
4685c99dabffe5affac90bd99dbffd25801ae58d and therefore has no uploaded checkpoint.
Objaverse metrics generated with --include-table-objaverse-metrics are marked with
provenance.kind = paper_table_reconstruction; they can be regenerated with the public Objaverse evaluator
from documented local data paths.
Paper Metrics
| Model tag | Config | TAP AJ | TAP APT | DAVIS J&F | Objaverse PCDP@0.05 |
|---|---|---|---|---|---|
dinov2_pretrained_baseline |
configs/paper/dinov2_pretrained_baseline.yaml |
0.2009 | 0.3045 | 0.7030 | 35.90 |
dinov2_davis_split_head_corr005 |
configs/paper/dinov2_davis_split_head_corr005.yaml |
0.2518 | 0.3730 | 0.6397 | 31.80 |
dinov2_davis_projection_head_corr005 |
configs/paper/dinov2_davis_projection_head_corr005.yaml |
0.2502 | 0.3711 | 0.6372 | 30.76 |
Use
Install the public package, download the relevant merged_backbone.pt, and run the documented CLI commands
from paper_manifest.json. Users must obtain datasets from their original sources and comply with dataset terms.
License And Terms
Source code and released trained backbones use Apache-2.0. Dataset videos, TAP-Vid annotations, DAVIS masks, YouTube-VOS data, Objaverse renderings, and third-party checkpoints are not redistributed here.