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Video Similarity Challenge 2022 Codebase

This is the codebase for the 2022 Video Similarity Challenge and the associated dataset.

Documentation

The docs folder contains additional documentation for this codebase:

Installation

See installation

Running tests

See testing

Reproducing baseline results

See baseline

Running evaluations

Descriptor eval

$ ./descriptor_eval.py --query_features vsc_eval_data/queries.npz --ref_features vsc_eval_data/refs.npz --ground_truth vsc_eval_data/gt.csv
Starting Descriptor level eval
...
2022-11-09 17:00:33 INFO     Descriptor track micro-AP (uAP): 0.4754

Matching track eval

$ ./matching_eval.py --predictions vsc_eval_data/matches.csv --ground_truth vsc_eval_data/gt.csv
Matching track segment AP: 0.3650

Baseline results on training set

method score norm Descriptor μAP Matching μAP
SSCD ❌ 0.4754 0.3650
SSCD ✔️ 0.6499 0.4692
DINO ✔️ 0.4402 0.3393
DnS ✔️ 0.4129 0.3211

Note: Numbers in italics do not conform to challenge rules

License

The VSC codebase is released under the MIT license.

vsc2022's People

Contributors

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