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An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition
Devesh Walawalkar, Yihui He, Rohit Pillai
In this project, we worked on speech recognition, specifically predicting individual words based on both the video frames and audio. Empowered by convolutional neural networks, the…
Shift-based Primitives for Efficient Convolutional Neural Networks
Huasong Zhong, Xianggen Liu, Yihui He +1
We propose a collection of three shift-based primitives for building efficient compact CNN-based networks. These three primitives (channel shift, address shift, shortcut shift) can…
Bounding Box Regression with Uncertainty for Accurate Object Detection
Yihui He, Chenchen Zhu, Jianren Wang +2
Large-scale object detection datasets (e.g., MS-COCO) try to define the ground truth bounding boxes as clear as possible. However, we observe that ambiguities are still introduced…
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He, Ji Lin, Zhijian Liu +3
Model compression is a critical technique to efficiently deploy neural network models on mobile devices which have limited computation resources and tight power budgets. Convention…