docs: explain trained localization model versions

README.md

@@ -16,6 +16,7 @@ Select a version below to read its recipe, data, measured metrics and usage inst
 | Version / README | Dataset | Seed | Scope | Measured test scores | Artifacts |
 |---|---|---:|---|---|---|
 | [soccernet_netrvlad_resnet_pca512](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/tree/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](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/a3fd0919c8ebd2ae4f68e378bcdd77312fe92914/model.pth) · [config](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/a3fd0919c8ebd2ae4f68e378bcdd77312fe92914/config.yaml) |
+| [soccernet_netvlad_baidu](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/tree/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](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/43014f1ab1a458aa6a002af54802089609d20392/model.pth) · [config](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/43014f1ab1a458aa6a002af54802089609d20392/config.yaml) |
 | [soccernet_netvlad_resnet_pca512](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/tree/soccernet_netvlad_resnet_pca512) | SoccerNet-v2 | 1 | released-code PCA ablation | loose average-mAP: 48.3548%; tight average-mAP: 7.3769% | [weights](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/2fc2f7db8e08ca05515987107144f80fae487725/model.pth) · [config](https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/2fc2f7db8e08ca05515987107144f80fae487725/config.yaml) |
 
 Per-seed measurements do not establish exact paper reproduction. Read each version's protocol and aggregation notes.

model-versions.json

@@ -10,6 +10,17 @@
     "scores": "loose average-mAP: 46.8216%; tight average-mAP: 7.2654%",
     "seed": 1
   },
+  "soccernet_netvlad_baidu": {
+    "card_url": "https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/tree/soccernet_netvlad_baidu",
+    "config_url": "https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/43014f1ab1a458aa6a002af54802089609d20392/config.yaml",
+    "dataset": "SoccerNet-v2",
+    "experiment": "soccernet_netvlad_baidu",
+    "model_url": "https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/43014f1ab1a458aa6a002af54802089609d20392/model.pth",
+    "revision": "soccernet_netvlad_baidu",
+    "scope": "controlled feature/pooling extension; no matched paper target",
+    "scores": "loose average-mAP: 70.8112%; tight average-mAP: 6.6621%",
+    "seed": 1
+  },
   "soccernet_netvlad_resnet_pca512": {
     "card_url": "https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/tree/soccernet_netvlad_resnet_pca512",
     "config_url": "https://huggingface.co/OpenSportsLab/OSL-loc-NetVLAD/resolve/2fc2f7db8e08ca05515987107144f80fae487725/config.yaml",