1.Release Practical Ultra Light-weight image Classification solutions. PULC models inference within 3ms on CPU devices, with accuracy on par with SwinTransformer. 2.Release 9 PULC models including person attribute, traffic sign recognition, text image orientation classification, etc. 3.Release PP-HGNet classification network, which is suitable for gpu devices 4.Release PP-LCNet v2 classification network, which is suitable for cpu devices. 5.Add CSwinTransformer, PVTv2, MobileViT and VAN. 6.Add BoT ReID models.