Attention to Scale: Scale-Aware Semantic Image Segmentation

@article{Chen2016AttentionTS,
  title={Attention to Scale: Scale-Aware Semantic Image Segmentation},
  author={Liang-Chieh Chen and Yi Yang and Jiang Wang and Wei Xu and Alan L. Yuille},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={3640-3649}
}
Incorporating multi-scale features in fully convolutional neural networks (FCNs) has been a key element to achieving state-of-the-art performance on semantic image segmentation. One common way to extract multi-scale features is to feed multiple resized input images to a shared deep network and then merge the resulting features for pixelwise classification. In this work, we propose an attention mechanism that learns to softly weight the multi-scale features at each pixel location. We adapt a… CONTINUE READING
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