Luodian / MADAN

Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"
https://arxiv.org/abs/1910.12181
MIT License
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About DeepLabV2 model in the table 8,9 #7

Open Genie-Kim opened 3 years ago

Genie-Kim commented 3 years ago

Thanks for sharing your great research and code. I am a student studying deep learning.

MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation, 2021, IJCV (https://link.springer.com/content/pdf/10.1007/s11263-021-01479-3.pdf) In the above paper, there was a part where you experimented with DeepLabV2. If possible, can you provide the code or detailed description of the DeepLabV2 you used? (kimjin928@naver.com) Did you simply use resnet101 backbone + aspp module + upsampling? I'm not sure about the difference between DeepLabV3 and DeepLabV2. Please give me some advice. Thanks for reading.