Gmair: unsupervised object detection based on spatial attention and gaussian mixture model

HIGHLIGHTS

  • who: GMAIR Unsupervised Object Detection and collaborators from the Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China have published the paper: GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture Model, in the Journal: Computational Intelligence and Neuroscience 100 90 80 70 60 (%) 50 40 30 20 10 0 of 18/07/2022
  • what: The authors evaluate the model MultiMNIST and Fruit2D datasets. The authors show that achieves competitive results localization and clustering compared with state-of-the-art methods. The authors evaluate the models on two datasets: (i) MultiMNIST: A . . .

     

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