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Extracted Features #18
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Hi @Strike1999 Unfortunately, SAM features are too large to upload (TB level for ImageNet-1k) :( |
@elicassion Can you provide the memory usage of SAM features? For example, 7TB or others. Because I'm not sure whether I have enough space to save features . Thank you very much. |
The features saved by Depth-Anything require 328GB, and the size of SAM features is 8 times that of Depth-Anything features, so I estimate the memory usage of SAM to be about 2.6TB. |
What a great work!
Could you provide the teachers' extracted features (e.g., SAM) for ImageNet? The extraction process is quite time-consuming for me due to limited computing resources.
Thanks.
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