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"model_name": "SkySense",
"model_type": "skysense",
"architectures": [
"SkySense"
],
"framework": "PyTorch",
"domain": "earth-observation",
"task": "remote-sensing-semantic-segmentation",
"implementation": {
"entry_point": "model/skysense.py",
"scope": "compact multimodal spatial-temporal encoder with modality fusion and regional geo-context prototypes"
},
"architecture": {
"family": "factorized multimodal spatial-temporal encoder with geo-context prototypes",
"modalities": [
"high-resolution RGB",
"Sentinel-2",
"Sentinel-1"
],
"hr_shape": [
1,
3,
224,
224
],
"sentinel_2_shape": [
20,
10,
64,
64
],
"sentinel_1_shape": [
10,
2,
64,
64
],
"embed_dim": 24,
"hr_patch_size": 16,
"sentinel_2_patch_size": 8,
"sentinel_1_patch_size": 8,
"temporal_depth": 1,
"temporal_heads": 4,
"num_regions": 16,
"prototypes_per_region": 4,
"num_classes": 6
},
"data": {
"datasets": [
"High-resolution RGB imagery",
"Sentinel-1",
"Sentinel-2"
],
"protocol": "skysense_multires_multitemporal_v2",
"input_format": "multimodal_npz",
"train_samples": 2,
"test_samples": 1
},
"configuration_sources": [
"configuration.json",
"conf/config.yaml",
"model/skysense.py"
]
}
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