IP属地：黑龙江
16、EMSA模块 论文《ResT: An Efficient Transformer for Visual Recognition》 1、作用...
15、SCSE模块 论文《Concurrent Spatial and Channel `Squeeze & Excitation' in Fu...
14、SKAttention模块 论文《Selective Kernel Networks》 1、作用 SK卷积可以根据输入特征的不同部分自适应...
13、EMA模块 论文《Efficient Multi-Scale Attention Module with Cross-Spatial Le...
12、MSCA模块 论文《SegNeXt: Rethinking Convolutional Attention Design for Sema...
11、ASFF模块 论文《Learning Spatial Fusion for Single-Shot Object Detection》 1...
10、S2Attention模块 论文《S2-MLPV2: IMPROVED SPATIAL-SHIFT MLP ARCHITECTURE FO...
9、TripletAttention模块 论文《Rotate to Attend: Convolutional Triplet Attentio...
8、CoTAttention模块 论文《Contextual Transformer Networks for Visual Recogniti...