A Two-pass deep learning system for monitoring visual attributes of food in real-time during fluidized bed drying
Sign Up to like & getrecommendations! Published in 2024 at "Drying Technology"
DOI: 10.1080/07373937.2024.2445769
Abstract: Abstract Consumers rely on visual attributes when purchasing dried foods. If the product is unattractive, they walk away, leading to increase in global food waste. Attempts have been made to develop computer vision (CV) systems… read more here.
Keywords: food; xception; attributes food; fluidized bed ... See more keywords
The Bangkok Urbanscapes Dataset for Semantic Urban Scene Understanding Using Enhanced Encoder-Decoder With Atrous Depthwise Separable A1 Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3176712
Abstract: Semantic segmentation is one of the computer vision tasks which is widely researched at present. It plays an essential role to adapt and apply for real-world use-cases, including the application with autonomous driving systems. To… read more here.
Keywords: xception; deeplab xception; proposed dataset; urbanscapes dataset ... See more keywords