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We fine-tune 7 models including ViTs, DINO, CLIP, ConvNeXt, ResNet, on

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The Computer Vision's Battleground: Choose Your Champion, by Salvatore Raieli

Suriya Gunasekar's research works Microsoft, Washington and other places

D] Why Vision Tranformers? : r/MachineLearning

pytorch-image-models/README.md at main · huggingface/pytorch-image-models · GitHub

13.2. Fine-Tuning — Dive into Deep Learning 0.17.6 documentation

The freeze-out distribution, f f ree (x, p), in the rest frame of the

Emerging Properties in Self-Supervised Vision Transformers

We fine-tune 7 models including ViTs, DINO, CLIP, ConvNeXt, ResNet, on

ResNet

A Broad Study of Pre-training for Domain Generalization and Adaptation

In-distribution (ID) accuracies presented in the same format as the OOD

ViTMatte: Boosting image matting with pre-trained plain vision