Understanding Vision Transformers (ViTs): Hidden properties, insights, and robustness of their representations
AI Summer
·
·
68 views
We study the learned visual representations of CNNs and ViTs, such as texture bias, how to learn good representations, the robustness of pretrained models, and finally properties that emerge from trained ViTs.
We study the learned visual representations of CNNs and ViTs, such as texture bias, how to learn good representations, the robustness of pretrained models, and finally properties that emerge from trained ViTs.
View original source →
Weed World Magazine 
TheBlueRidgeGal 
War and Peace Studies 
Techwrix 
The Right Scoop 
Mashable 
