We fine-tune 7 models including ViTs, DINO, CLIP, ConvNeXt, ResNet, on
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We fine-tune 7 models including ViTs, DINO, CLIP, ConvNeXt, ResNet, on
VideoMAC: Video Masked Autoencoders Meet ConvNets
ResNet
PDF) How to Fine-Tune Vision Models with SGD
2205.08534] Vision Transformer Adapter for Dense Predictions
A Broad Study of Pre-training for Domain Generalization and Adaptation
Recent Developments and Views on Computer Vision x Transformer, by Akihiro FUJII
The freeze out distribution, f f ree (x, p), in the Rest Frame of the
We fine-tune 7 models including ViTs, DINO, CLIP, ConvNeXt, ResNet, on
Review — ConvNeXt: A ConvNet for the 2020s, by Sik-Ho Tsang
13.2. Fine-Tuning — Dive into Deep Learning 0.17.6 documentation