DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs [pdf]

Liang-Chieh Chen*, George Papandreou*, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille. (*equal contribution)

arXiv 2016

Attention to Scale: Scale-aware Semantic Image Segmentation [pdf]

Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu and Alan L Yuille

CVPR 2016

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform [pdf]

Liang-Chieh Chen, Jonathan T Barron, George Papandreou, and Alan L. Yuille

CVPR 2016

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation [pdf]

George Papandreou*, Liang-Chieh Chen*, Kevin Murphy, and Alan L. Yuille. (*equal contribution)

ICCV 2015

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs [pdf]

Liang-Chieh Chen*, George Papandreou*, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille. (*equal contribution)

ICLR 2015

Trained models and corresponding prototxt files:

1. Training DeepLab with strong supervision (i.e., pixel-level annotations) in our ICLR'15:

2. Training DeepLab with weakly- or semi-supervised learning in our ICCV;15:

3. Training DeepLab with (1) Multi-scale inputs, (2) extra supervision, and (3) attention model in our CVPR'16 (attention to scale):

4. Training DeepLab with a discriminatively trained domain transform in our CVPR'16 (domain transform):

5. DeepLabv2 models reported in our latest arXiv: