BUS-COT upstream encoder checkpoints
Five upstream vision-language encoders trained or evaluated under the fixed BUS-COT segmentation protocol (seed 12). These are encoder checkpoints only; this repository contains no ultrasound images, masks, captions, or LLM/VQA artifacts.
| Directory | Checkpoint | Method |
|---|---|---|
baseline/ |
open_clip_pytorch_model.bin |
Untouched BiomedCLIP base checkpoint |
clip/ |
epoch_3.pt |
CLIP contrastive post-training |
cliprefine/ |
epoch_3.pt |
CLIPRefine post-training |
global_ind_gmpo/ |
epoch_3.pt |
Global-IND 4-way GMPO |
sample_ind_gmpo/ |
epoch_3.pt |
Sample-IND 4-way GMPO |
All models use the embedded OpenCLIP backend and
hf-hub:microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 backbone.
Training used 4,197 paired examples, resolution 224, batch size 32, three
epochs, and seed 12. GMPO runs use beta_dpo=10.0; their automatic IND
diagnostics are in diagnostics/ and run-specific settings are in each
directory's protocol.json.
The checkpoints are intended for the fixed BUS-COT upstream saliency → k-means/filter → box-prompted SAM ViT-H evaluation pipeline. They do not include a SAM checkpoint.
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