OSL-loc-NetVLAD

OpenSportsLib localization models. main is the version catalog; load an explicit experiment revision using LocalizationModel.from_pretrained.

Trained model versions

Select a version below to read its recipe, data, measured metrics and usage instructions. Each weight/config pair belongs to the linked experiment and seed.

Version / README Dataset Seed Scope Measured test scores Artifacts
soccernet_netrvlad_baidu SoccerNet-v2 1 controlled feature/pooling extension; no matched paper target loose average-mAP: 69.3119%; tight average-mAP: 6.1889% weights 路 config
soccernet_netrvlad_resnet_pca512 SoccerNet-v2 1 controlled feature/pooling extension; no matched paper target loose average-mAP: 46.8216%; tight average-mAP: 7.2654% weights 路 config
soccernet_netvlad_baidu SoccerNet-v2 1 controlled feature/pooling extension; no matched paper target loose average-mAP: 70.8112%; tight average-mAP: 6.6621% weights 路 config
soccernet_netvlad_resnet_pca512 SoccerNet-v2 1 released-code PCA ablation loose average-mAP: 48.3548%; tight average-mAP: 7.3769% weights 路 config

Per-seed measurements do not establish exact paper reproduction. Read each version's protocol and aggregation notes.

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