Replacement Learning: Training Vision Tasks with Fewer Learnable Parameters

Yuming Zhang, Peizhe Wang, Shouxin Zhang +3

Traditional end-to-end deep learning models often enhance feature representation and overall performance by increasing the depth and complexity of the network during training. Howe…