Code corresponding to 4.9. Feature Selection ?

[tcourat]

Hi

Do you plan to share the code corresponding to part 4.9. Feature Selection including :

• Dense and sparse feature aggregation
• DPT head for RADIO

Thanks

[mranzinger]

Hello, for sparse/dense feature selection and aggregation, we have the following API: https://github.com/NVlabs/RADIO/blob/main/radio/radio_model.py#L234-L244

@gheinrich do you know where the DPT code lives?

[gheinrich]

Hello,

For Probe3D the code is available on: https://github.com/mbanani/probe3d/blob/main/evals/models/probes.py#L169
For MMSeg, the code is available on: https://github.com/open-mmlab/mmsegmentation/blob/b040e147adfa027bbc071b624bedf0ae84dfc922/mmseg/models/decode_heads/dpt_head.py#L216