rpotter6298
280060db82
- Introduced multiple regression experiment configurations targeting vf_md, including: - cd_solo_reg_set.json: CD tower only regression setup. - img_solo_reg_set.json: Image tower only regression setup. - reg_head_epoch_sweep.json: Baseline regression sweeps at different epochs (50, 75, 100). - reg_head_set.json: Various regression setups including baseline and OrthoBridge configurations. - single_eye_reg.json: Single-eye regression setup for worst-eye aggregation analysis. - Added ensemble configurations for OrthoBridge with different inner bridges: - ortho_alts_ensemble.json: Ensemble tests with ConcatBridge, PairwiseAdditiveBridge, and GatedAdditiveBridge. - ortho_alts_tritower.json: Tritower tests with the same inner bridges. - Created V2-M specific configurations: - baseline_reg_nt50.json: Regression baseline with V2-M backbone. - geom_vec_gt.json and geom_vec_unet.json: Geometry vector injection experiments with V2-M. - single_l1_bridges.json: Single-eye ensemble experiments with various bridge types. - tritower_geom_gt.json: Tritower setup with GT contour-rasterized masks. - Promoted existing experiments to higher repetitions for robustness.
38 lines
1.2 KiB
JSON
38 lines
1.2 KiB
JSON
[
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{
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"_note": "PAPILA paper backbone replication — VGG16, single-eye img-only, ImageNet-pretrained (no fundus pretraining). For Figure 2 anchor row.",
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"run_name": "experiments/phase2_v4/papila_backbones/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": "DenseNet121 ImageNet-pretrained, no fundus.",
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"run_name": "experiments/phase2_v4/papila_backbones/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": "MobileNetV2 ImageNet-pretrained, no fundus.",
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"run_name": "experiments/phase2_v4/papila_backbones/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": "InceptionV3 ImageNet-pretrained, no fundus. (Note: 299x299 native; pipeline uses 224 — note in figure caption.)",
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"run_name": "experiments/phase2_v4/papila_backbones/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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