Deep learning feature extraction for image-based beef carcass yield estimation

Author:

Wakholi CollinsORCID,Kim JuntaeORCID,Nabwire ShonaORCID,Kwon Kyung-Do,Mo Changyeun,Cho Suhyun,Cho Byoung-KwanORCID

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference45 articles.

1. SegNet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

2. Online evaluation of a commercial video image analysis system (Computer Vision System) to predict beef carcass red meat yield and for augmenting the assignment of USDA yield grades;Cannell;Journal of Animal Science,2002

3. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs;Chen;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

4. Rethinking atrous convolution for semantic image segmentation;Chen;ArXiv Preprint ArXiv:1706.05587,2017

5. Encoder-decoder with atrous separable convolution for semantic image segmentation;Chen,2018

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