Comments (3)
Linsanity1
commented on August 23, 2024
Hi, how can I reproduce the experimental results shown in Fig.1? I tried modifying the epoch parameter in the configs directly, but the results were significantly different. Can you assist me with this issue?
Hi, can you reproduce the 58.4 mAP? The result on my machine is 58.0 mAP. Do I need to modify hyperparameters to achieve such high mAP?
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wdczz
commented on August 23, 2024
Hi, how can I reproduce the experimental results shown in Fig.1? I tried modifying the epoch parameter in the configs directly, but the results were significantly different. Can you assist me with this issue?
Hi, can you reproduce the 58.4 mAP? The result on my machine is 58.0 mAP. Do I need to modify hyperparameters to achieve such high mAP?
I also get 58.0 mAP TUT, It's diffcult to achieve 58.4 mAP by modifying hyperparameters. Just I think!
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Wang-pengfei
commented on August 23, 2024
Hi, how can I reproduce the experimental results shown in Fig.1? I tried modifying the epoch parameter in the configs directly, but the results were significantly different. Can you assist me with this issue?
Hi, can you reproduce the 58.4 mAP? The result on my machine is 58.0 mAP. Do I need to modify hyperparameters to achieve such high mAP?
I can only get 57.8 mAP....
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Related Issues (11)
- Questions about the training loss and backbone configuration HOT 1
- How to generate superpoints for S3DIS
- What is the license for the code?
- A question about environment configuration HOT 1
- The normal information in training HOT 6
- Great job! May I ask if you could provide the code for your work on the ScanNet200 and S3DIS datasets? HOT 1
- Question about mask in cross attention component HOT 1
- What is CUDA and Torch version? HOT 1
- Cannot import name 'colors_cityscapes' from 'maft.utils.visualize'
- Question about the pretrained weights in training
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