Update README.md

README.md

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 CSATv2
 
 CSATv2 is a lightweight high-resolution vision backbone designed to maximize throughput at 512×512 resolution.
-By applying frequency-domain projection at the input stage, the model suppresses redundant spatial information and achieves extremely fast inference.
+By applying frequency-domain compression at the input stage, the model suppresses redundant spatial information and achieves extremely fast inference.
 
 ## Highlights
 
 - 🚀 **2,800 images/s at 512×512 resolution (A6000 1×GPU)**
-- ⚡ **Frequency-Domain Projection** for removing redundant spatial information
+- ⚡ **Frequency-domain compression** for lightweight and efficient modeling
 - 🎯 **80.02%** ImageNet-1K Top-1 Accuracy
 - 🪶 Only **11M parameters**
 - 🧩 Suitable for **image classification** or as a **high-throughput detection backbone**