87 citations · 91 across the 2 of their papers we have counts for
3 papers
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…
Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array
Andre Xian Ming Chang, Parth Khopkar, Bashar Romanous +6
The Streaming Engine (SE) is a Coarse-Grained Reconfigurable Array which provides programming flexibility and high-performance with energy efficiency. An application program to be…
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke, Abhishek Chaurasia, Sangpil Kim +1
The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications. Recent deep neural networks aimed at this task have the disa…