activity
20182021
most citedMultiple Attentional Pyramid Networks for Chinese Herbal Recognition

3 citations · 6 across the 4 of their papers we have counts for

collaborators

8 papers

cs.LG20213 cited

What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data

Yang Hu, Adriane Chapman, Guihua Wen +1

Supervised machine learning has several drawbacks that make it difficult to use in many situations. Drawbacks include: heavy reliance on massive training data, limited generalizabi…

cs.CV20203 cited

Multiple Attentional Pyramid Networks for Chinese Herbal Recognition

Yingxue Xu, Guihua Wen, Yang Hu +4

Chinese herbs play a critical role in Traditional Chinese Medicine. Due to different recognition granularity, they can be recognized accurately only by professionals with much expe…

cs.CV2019

Stochastic Region Pooling: Make Attention More Expressive

Mingnan Luo, Guihua Wen, Yang Hu +2

Global Average Pooling (GAP) is used by default on the channel-wise attention mechanism to extract channel descriptors. However, the simple global aggregation method of GAP is easy…

cs.CV2018

Convolutional herbal prescription building method from multi-scale facial features

Huiqiang Liao, Guihua Wen, Yang Hu +1

In Traditional Chinese Medicine (TCM), facial features are important basis for diagnosis and treatment. A doctor of TCM can prescribe according to a patient's physical indicators s…

cs.CV2018

Competitive Inner-Imaging Squeeze and Excitation for Residual Network

Yang Hu, Guihua Wen, Mingnan Luo +3

Residual networks, which use a residual unit to supplement the identity mappings, enable very deep convolutional architecture to operate well, however, the residual architecture ha…

cs.CV2018

Tongue image constitution recognition based on Complexity Perception method

Jiajiong Ma, Guihua Wen, Yang Hu +4

Background and Object: In China, body constitution is highly related to physiological and pathological functions of human body and determines the tendency of the disease, which is…