STP / config.json
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{
"architectures": [
"STP"
],
"model_type": "stp",
"image_size": 224,
"patch_size": 16,
"encoder": {
"embed_dim": 768,
"depth": 12,
"num_heads": 12,
"pos_embed": "fixed sincos"
},
"spatial_decoder": {
"embed_dim": 512,
"depth": 8,
"num_heads": 16
},
"temporal_decoder": {
"embed_dim": 512,
"depth": 8,
"num_heads": 16,
"type": "self-attn + cross-attn(context=Z_c) + FFN"
},
"mask_ratio_current": 0.75,
"mask_ratio_future": 0.95,
"frame_interval": 16,
"num_parameters": 146336000,
"source_epoch": 49,
"pretraining": {
"optimizer": "AdamW",
"blr": 0.00015,
"weight_decay": 0.05,
"betas": [
0.9,
0.95
],
"epochs": 50,
"warmup_epochs": 5,
"effective_batch_size": 4096,
"augmentation": "RandomResizedCrop(0.8, 1.0)",
"dataset": "EgoClip (Ego4D)",
"normalize_mean": [
0.485,
0.456,
0.406
],
"normalize_std": [
0.229,
0.224,
0.225
]
},
"usage": "freeze the encoder, take the [CLS] token via forward_features()",
"paper": "International Journal of Computer Vision (2026), doi:10.1007/s11263-026-02948-3"
}