23 citations · 71 across the 12 of their papers we have counts for
4 papers · 1 filter
GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS
Baohua Sun, Weixiong Lin, Hao Sha +1
Semantic segmentation is the task to cluster pixels on an image belonging to the same class. It is widely used in the real-world applications including autonomous driving, medical…
SuperOCR: A Conversion from Optical Character Recognition to Image Captioning
Baohua Sun, Michael Lin, Hao Sha +1
Optical Character Recognition (OCR) has many real world applications. The existing methods normally detect where the characters are, and then recognize the character for each detec…
SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data
Baohua Sun, Lin Yang, Wenhan Zhang +4
Tabular data is the most commonly used form of data in industry. Gradient Boosting Trees, Support Vector Machine, Random Forest, and Logistic Regression are typically used for clas…
Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications
Baohua Sun, Lin Yang, Patrick Dong +3
Computer vision performances have been significantly improved in recent years by Convolutional Neural Networks(CNN). Currently, applications using CNN algorithms are deployed mainl…