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• Rethinking Atrous Convolution for Semantic Image Segmentation
  2017 · 7460 citations
• DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  2016 · 714 citations
• DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
  2020 · 155 citations
• MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
  2017 · 35 citations
• FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
  2019 · 28 citations
• Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
  2020 · 12 citations
• The Devil is in the Decoder: Classification, Regression and GANs
  2017 · 9 citations
• STEP: Segmenting and Tracking Every Pixel
  2021 · 9 citations
• ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation