Comments (1)
AndyYuan96
commented on August 26, 2024
Hi,
I have a question about training details.
I trained SE-SSD several times, but the performance is different from your paper.In AP_40 with (0.7, 0.7, 0.7), 3d detection AP for easy, moderate, and hard sets are respectively about 93.XX, 84.XX, and 81.XX. with the CIA-SSD model provided in https://github.com/Vegeta2020/CIA-SSD, your default configuration (examples/second/configs/config.py), and the provided codes.
This AP seems similar to the performance of only consistency loss mode in table 3.Cons loss ODIoU SA-DA Easy Moderate Hard
- 92.58 83.22 80.15
- X 93.02 83.70 80.68
- X - 93.07 83.85 80.78
X - - 93.13 84.15 81.17
X X - 93.17 85.81 83.01
X X X 93.19 86.12 83.31Please let me know if there are any missing details.
same result with you, no improvement.
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