JD Tech
May 20, 2025 · Artificial Intelligence
How Re‑parameterization and Adaptive Learning Boost Visual Deep Learning Efficiency
The award‑winning project from Tsinghua University and JD Retail introduces re‑parameterization model design, cross‑scene adaptive learning, and platform‑aware compression to overcome accuracy‑efficiency trade‑offs in visual deep learning, achieving over 20% accuracy gains and more than 50% inference speedup in real‑world e‑commerce deployments.
AI researchadaptive modelscomputer vision
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