Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.
Computer Vision and Pattern Recognition（2024）
关键词
Transfer Learning,Performance Comparison,Computer Vision,Classification Task,Baseline Methods,Natural Language Processing Tasks,Intermediate Representation,Few-shot Classification,Fine-tuned,Convolutional Layers,Feature Maps,Object Detection,Receptive Field,Semantic Segmentation,Residual Block,Fewer Parameters,Channel Dimension,Spatial Size,Inferior Performance,Local Loss,Adaptive Modulation,Series Of Layers,Depthwise Separable Convolution,Dense Prediction,Compression Factor,Vision Transformer,Including Image Classification,Transfer Performance,Trainable Parameters,Domain Shift
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