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Snowflake: A Model Agnostic Accelerator for Deep Convolutional Neural Networks
Vinayak Gokhale, Aliasger Zaidy, Andre Xian Ming Chang +1
Deep convolutional neural networks (CNNs) are the deep learning model of choice for performing object detection, classification, semantic segmentation and natural language processi…
Compiling Deep Learning Models for Custom Hardware Accelerators
Andre Xian Ming Chang, Aliasger Zaidy, Vinayak Gokhale +1
Convolutional neural networks (CNNs) are the core of most state-of-the-art deep learning algorithms specialized for object detection and classification. CNNs are both computational…
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia, Eugenio Culurciello
Pixel-wise semantic segmentation for visual scene understanding not only needs to be accurate, but also efficient in order to find any use in real-time application. Existing algori…
CortexNet: a Generic Network Family for Robust Visual Temporal Representations
Alfredo Canziani, Eugenio Culurciello
In the past five years we have observed the rise of incredibly well performing feed-forward neural networks trained supervisedly for vision related tasks. These models have achieve…