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Stand-Alone-Self-Attention-in-Vision-Models-

  • Reproduced and confirmed the results from above NIPS 2019 research paper for course project.
  • Implemented ResNet50 convolution network with self-attention layers as per the guidelines in the paper.
  • Analyzed effect of spatial extent, positional embedding, and attention type on ResNet50 attention model.
  • Implemented SSD object detection model by replacing set of convolution layers with self-attention layers.
  • Evaluated above SSD model for performance change in terms of Accuracy (4.4% less), number of model parameters (5.6% less), and Flops count (very less).

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