Study
Computer Vision · Transfer learning
Reusing an ImageNet-pretrained ResNet-18: frozen features plus a new linear head versus training from scratch, on the 8×8 digits upsampled.
- Early CNN layers learn general features (edges, textures) that transfer to new tasks.
- Transfer helps most when the new images look like the pretraining images; tiny upsampled digits are far from ImageNet photos.