Comments (5)
KaiyangZhou
commented on August 15, 2024
not aware of any tricks
maybe an improved architecture is required
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Dou-Yiming
commented on August 15, 2024
Okay, thanks!
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JiuqingDong
commented on August 15, 2024
Hi, How about the time-consuming for CoCoOp? Did you train it?
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KaiyangZhou
commented on August 15, 2024
@JiuqingDong The conditional design of CoCoOp is very expensive. I'd suggest you take a look at our recent work https://arxiv.org/pdf/2210.07225.pdf which removes the conditional design and exploits multimodal prompt learning, a much more efficient while equally effective solution.
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JiuqingDong
commented on August 15, 2024
Thank you for your reply. I will read it. So, How about the time-consuming for CoCoOp? I just want to know.
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Related Issues (20)
- cifar100 dataset
- Question regarding the number of runs
- How to visualize classification results? HOT 1
- CoOp on cifar-100
- Question for the code x = x[torch.arange(x.shape[0]), tokenized_prompts.argmax(dim=-1)] @ self.text_projection
- error when running coop.
- `lock.acquire()` and cannot exit training
- CSC (class-specific context) CoOp/CoCoOp in "base-new" and "cross-dataset".
- Base-to-novel generalization
- I would like to ask how long is the experimental period for coop training on imagenet?
- Running zero shot for new classes
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- 论文中他、
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- At the end of the CoOp train main.sh an additional progress bar indicates the accuracy of the output, whether the test was executed in train? HOT 1
- Question about initializing the prompt vectors?
- What does it mean if I change the shot to 0？
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