708fbc70ce
- Introduced `bridge_attention_ceiling_check.py` for variance decomposition analysis on bridge attention configurations. - Added `bridge_attention_readout.py` to perform per-tower gate and contribution readouts, including AUC sanity checks. - Created multiple JSON configuration files for backbone replication experiments, including anonymous CV variants and basic backbones. - Implemented sensitivity experiments to evaluate the impact of axial length inclusion and EfficientNetV2-M performance at higher resolutions. - Added a memory probe script to assess GPU memory usage during training with EfficientNetV2-M.
47 lines
1.6 KiB
JSON
47 lines
1.6 KiB
JSON
[
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{
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"_note": "F2 block 1 — basic backbones, ImageNet pretrained, image-only, single-eye, patient-grouped 5-fold CV. VGG16. Replicates v3 phase 1 imageonly_vgg16 in the v4 pipeline.",
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"run_name": "experiments/backbone_replication/basic_vgg16",
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"reps": 10,
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"tower_overrides": {
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"img": { "args": { "backbone": "vgg16", "freeze_ratio": 0.0 } }
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}
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},
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{
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"_note": "F2 block 1 — MobileNetV2 (ImageNet, img-only, single-eye).",
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"run_name": "experiments/backbone_replication/basic_mobilenet_v2",
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"reps": 10,
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"tower_overrides": {
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"img": { "args": { "backbone": "mobilenet_v2", "freeze_ratio": 0.0 } }
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}
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},
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{
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"_note": "F2 block 1 — DenseNet121 (ImageNet, img-only, single-eye).",
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"run_name": "experiments/backbone_replication/basic_densenet121",
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"reps": 10,
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"tower_overrides": {
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"img": { "args": { "backbone": "densenet121", "freeze_ratio": 0.0 } }
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}
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},
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{
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"_note": "F2 block 1 — InceptionV3 (ImageNet, img-only, single-eye). NB: Inception expects 299x299 input — backbone_transform_config auto-overrides crop_size to 299 for inception_v3.",
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"run_name": "experiments/backbone_replication/basic_inception_v3",
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"reps": 10,
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"tower_overrides": {
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"img": { "args": { "backbone": "inception_v3", "freeze_ratio": 0.0 } }
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}
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},
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{
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"_note": "F2 block 1 — ResNet50 ImageNet-pretrained (the unfrozen ImageNet R50, not refugelike). Anchor for the basic-backbone comparison.",
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"run_name": "experiments/backbone_replication/basic_resnet50",
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"reps": 10,
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"tower_overrides": {
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"img": { "args": { "backbone": "resnet50", "freeze_ratio": 0.0 } }
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}
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}
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]
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