Architecture
In RØNDŌN, we adopted an ENCODER-DECODER separated architecture. The ENCODER uses a fixed DINOv3-vits16 model to convert the input image into features, and then the trainable DECODER model converts the features into segmentation results. The ENCODER has a large number of parameters, but since it does not participate in training and is only used for feature extraction, it can run on a personal computer. The DECODER is trainable, but has a small number of parameters and can also run on a personal computer. In this way, we have achieved the goal of local model training, finding a balance between performance, efficiency, and ease of use.
TIP
You can directly download the model from this site, but if the computer installing the software can connect to the internet, it is recommended to download directly within the software for easier operation:
- Open the DECODER module
- Click the model download interface in ENCODERs or DECODERs
- Click the download button of the corresponding item
If you downloaded the model directly from this website, drag the model file directly to the corresponding area of the software to import it. For example, if you downloaded a DECODER file, drag it to the DECODERs area.
TIP
Note that ENCODER and DECODER correspond to each other. You need to install the ENCODER model first before installing its corresponding DECODER model.