SpectralGPT / config.json
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{
"model_name": "SpectralGPT",
"model_type": "spectralgpt",
"architectures": [
"SpectralGPT"
],
"framework": "PyTorch",
"domain": "earth-observation",
"task": "remote-sensing-masked-image-modeling",
"implementation": {
"entry_point": "model/spectralgpt.py",
"scope": "compact spatial-spectral masked autoencoder with progressive two-stage pretraining"
},
"architecture": {
"family": "3D spatial-spectral masked autoencoder",
"input_channels": 12,
"stage_image_shapes": [
[
96,
96
],
[
128,
128
]
],
"patch_size": 8,
"spectral_patch_size": 3,
"embed_dim": 32,
"encoder_depth": 1,
"encoder_heads": 4,
"decoder_dim": 32,
"decoder_depth": 1,
"decoder_heads": 4,
"mask_ratio": 0.9,
"spectral_angle_weight": 0.1,
"spectral_gradient_weight": 0.1
},
"data": {
"datasets": [
"fMoW-Sentinel",
"BigEarthNet"
],
"protocol": "spectralgpt_progressive_s2_v2",
"input_format": "NCHW_NPZ",
"stages": [
{
"name": "stage1",
"dataset": "fMoW-Sentinel",
"image_size": 96,
"train_samples": 2
},
{
"name": "stage2",
"dataset": "BigEarthNet",
"image_size": 128,
"train_samples": 2
}
],
"test_samples": 1
},
"configuration_sources": [
"configuration.json",
"conf/config.yaml",
"model/spectralgpt.py"
]
}