HIGHLIGHTS
- who: Abdelouahid Ben Tamou et al. from the CNRS , LabSTICC, France have published the paper: Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss, in the Journal: (JOURNAL)
- what: The authors propose using a deep Convolutional Neural Network (CNN) and training this network by using a new strategy based on incremental learning. In the previous work , the authors focused on fish detection in unconstrained underwater videos. The authors propose to build a CNN classifier starting with the difficult species. Initially, the model focuses on . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.