mlsanityData to 14 Oct 2026

Classifying States of Cooking Objects Using Convolutional Neural Network

arXiv 2105.14196 ↗First posted 30 Apr 2021cs.CV cs.LG cs.ROcited by 0

Not on the map. Why?

Abstract (arXiv)

Automated cooking machine is a goal for the future. The main aim is to make the cooking process easier, safer, and create human welfare. To allow robots to accurately perform the cooking activities, it is important for them to understand the cooking environment and recognize the objects, especially correctly identifying the state of the cooking objects. This will significantly improve the correctness of the following cooking recipes. In this project, several parts of the experiment were conducted to design a robust deep convolutional neural network for classifying the state of the cooking objects from scratch. The model is evaluated by using various techniques, such as adjusting architecture layers, tuning key hyperparameters, and using different optimization techniques to maximize the accuracy of state classification.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 15 references that are in the map. First posted on arXiv 30 Apr 2021.

Builds on

14 of 15 references.

References · 14

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  2. 2013Network In Networkcited by 605
  3. 2015Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inferencecited by 159
  4. 2019Functional Object-Oriented Network for Manipulation Learningcited by 27
  5. 2015Towards Dropout Training for Convolutional Neural Networkscited by 17
  6. 2018Identifying Object States in Cooking-Related Imagescited by 7
  7. 2018Classifying cooking object's state using a tuned VGG convolutional neural networkcited by 5
  8. 2019Manipulation Motion Taxonomy and Coding for Robotscited by 5
  9. 2017Learning to Pourcited by 4
  10. 2018Cooking State Recognition from Images Using Inception Architecturecited by 3
  11. 2019VGG Fine-tuning for Cooking State Recognitioncited by 2
  12. 2018State Classification with CNNcited by 1
2 more
  1. 2019State Classification of Cooking Objects Using a VGG CNNcited by 1
  2. 2019Accurate Robotic Pouring for Serving Drinkscited by 1

Built on by

Not cited yet.