Bounding box prediction using other backbones about cellsam

[carlosuc3m]

Also after reading the paper and training used I wonder why did you need to train the ViT encoder for the CellFinder model. Weren't the SAM ViT feature maps good enough to feed them to the decoder?
Have you tried with SAM-h?

Maybe the need to retrain it is because SAM-b feature maps are not good enough. This is where EfficientSAM or EfficientViTSAM are interesting, because their performance is quite good compared even to SAM-h, so maybe their ViT encoder can be frozen during the CellFinder step.

Sorry if any of these questions are stupid.