Comments (2)
Yuliang-Zou
commented on August 20, 2024
Hi @PkuRainBow , thanks for your interest! We have an ablation study in Figure 5(e) of the paper.
We mainly adjust the strengths of brightness, contrast, and saturation. Using the same strength as in SimCLR leads to slightly worse performance. But a "strong enough" operation is necessary, otherwise, the model will overfit to the training set in the low-data regime. Overall, we find that 0.5 is a reasonable value.
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PkuRainBow
commented on August 20, 2024
@Yuliang-Zou Thanks for your explanation!
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Related Issues (14)
- About the device HOT 3
- About the results showed in talbe 1 HOT 6
- If I want to use your method on custom datasets including image level labels, how can I generate the tfrecord file with image level labels? HOT 1
- Concrete results on COCO HOT 3
- Security Policy violation Binary Artifacts HOT 127
- More data splits information - Cityscape
- Concern on the details of the comparison results in Table-2 HOT 4
- More data splits information HOT 3
- Question about Tab.5 which compares different pseudo labeling strategies HOT 6
- tfrecord file? HOT 1
- Segmentation fault HOT 17
- data split name 2_clean not recognized
- class problem of the addational data training HOT 1
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