87 citations · 102 across the 4 of their papers we have counts for
4 papers
The Evolution of Multimodal Model Architectures
Shakti N. Wadekar, Abhishek Chaurasia, Aman Chadha +1
This work uniquely identifies and characterizes four prevalent multimodal model architectural patterns in the contemporary multimodal landscape. Systematically categorizing models…
OneCAD: One Classifier for All image Datasets using multimodal learning
Shakti N. Wadekar, Eugenio Culurciello
Vision-Transformers (ViTs) and Convolutional neural networks (CNNs) are widely used Deep Neural Networks (DNNs) for classification task. These model architectures are dependent on…
MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features
Shakti N. Wadekar, Abhishek Chaurasia
MobileViT (MobileViTv1) combines convolutional neural networks (CNNs) and vision transformers (ViTs) to create light-weight models for mobile vision tasks. Though the main MobileVi…
Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction
Shakti N. Wadekar, Benjamin J. Schwartz, Shyam S. Kannan +5
Deep Neural Networks (DNNs) which are trained end-to-end have been successfully applied to solve complex problems that we have not been able to solve in past decades. Autonomous dr…