Model compression paper is accepted by ICCV 2023!

👏 Paper title: Lossy and Lossless (L2) Post-training Model Size Compression. We propose a unified post-training model size compression method combining lossy and lossless techniques with parametric weight transformation and a differentiable counter. It achieves a stable 10× compression ratio without accuracy loss and 20× with minimal degradation, with controllable global compression and layer-wise adaptation. [related project]