4 citations · 4 across the 2 of their papers we have counts for
4 papers
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs
Berkin Akin, Suyog Gupta, Yun Long +6
On-device ML accelerators are becoming a standard in modern mobile system-on-chips (SoC). Neural architecture search (NAS) comes to the rescue for efficiently utilizing the high co…
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection
Wenbo Zhang, Ge-Peng Ji, Zhuo Wang +2
RGB-D salient object detection (SOD) recently has attracted increasing research interest by benefiting conventional RGB SOD with extra depth information. However, existing RGB-D SO…
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Jungwook Choi, Pierce I-Jen Chuang, Zhuo Wang +3
Deep learning algorithms achieve high classification accuracy at the expense of significant computation cost. In order to reduce this cost, several quantization schemes have gained…
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi, Zhuo Wang, Swagath Venkataramani +3
Deep learning algorithms achieve high classification accuracy at the expense of significant computation cost. To address this cost, a number of quantization schemes have been propo…