A public benchmark and unified test conditions for compressing intermediate features of large models, with two image-codec baselines evaluated.
When federated learning meets privacy- preserving computation
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Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark
A public benchmark and unified test conditions for compressing intermediate features of large models, with two image-codec baselines evaluated.