Question about compression
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Hello and thank you for your excellent job. I'm unsure about the compression ratio in Where2Comm and V2X-VIT.
Is it essential to use a compression ratio if Where2comm reduces communication costs by selecting spatially sparse? Will the channel experience a loss as a result of this compression? (The threshold 0.01 already filter out a large portion of the feature mapIs)
Why is the compression rate in V2X-VIT 0x? I'd like to try to reduce communication costs even further, is it permissible to change the compression ratio straight to 32 during training?
Hi. These convolutional compression will definitely result in an information loss. For other questions you ask, I think they are mostly depend on the experimental results. You are free to tune these settings and see how it goes.