A new Fisher-information-based reconstruction loss, DPLR-FIM, improves low-bit post-training quantization accuracy for Vision Transformers without specialized quantizers.
Cascade R-CNN: delv- ing into high quality object detection
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FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
A new Fisher-information-based reconstruction loss, DPLR-FIM, improves low-bit post-training quantization accuracy for Vision Transformers without specialized quantizers.