A mixed-precision activation quantization framework that processes unimportant windows of Swin transformers at lower bit width, improving the accuracy-efficiency trade-off versus uniform quantization and activation pruning.
Pymoo: Multi-objective optimization in python
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MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective
A mixed-precision activation quantization framework that processes unimportant windows of Swin transformers at lower bit width, improving the accuracy-efficiency trade-off versus uniform quantization and activation pruning.