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Achieving fully integer-only inference for lightweight detection transformers could revolutionize their deployment in resource-constrained environments.
Quantization errors in speech enhancement models can be largely mitigated by robust spatial filtering, enabling efficient deployment on low-resource devices.
Forget attention scores – SVD reveals the true VIP tokens for efficient vision-language processing, even at extreme pruning ratios.