VITA-Group / FasterSeg

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
MIT License
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Looking for weight file for 73.1% cs val accuracy with Student model #28

Closed soyebn closed 4 years ago

soyebn commented 4 years ago

One of the best works for semantic seg with NAS. Thank You for sharing train as well as search code.

I downloaded student's weights from the location mentioned in the readme https://drive.google.com/file/d/1O56HnA0ug2M3K4SR3_AUzIs0wegy9BX6/view?usp=sharing and ran train.py to check the validation accuracy but I got 70.5%. Is this model supposed to generate 70.5% or 73.1% val accuracy? If there is some other weights for getting 73.1% can you pls share it?

Thanks.