【ML&DL】【skimming】ACNet: Strengthening the Kernel Skeletons for Powerful CNN
略讀2019 ICCV的ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks[1]，文章將普通的方形核卷積分解成了豎條紋卷積核橫條紋卷積，與方形核卷積相結合，能夠做到不帶來任何負擔的提點，並且可以嵌入到任何一個現成的CNN框架中。 痛點 許多對於CNN的改進多半集中在
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相關文章
- 1. ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
- 2. ubunt ,the kernel headers for the target kernel...
- 3. ACNet
- 4. 卷積漲點論文 | Asymmetric Convolution ACNet | ICCV | 2019
- 5. 【ML&DL】【skimming】On the saddle point problem for non-convex optimization
- 6. KGDB is a source level debugger for the linux kernel
- 7. ACNet——漲點且不增加耗時的技巧
- 8. The Big Kernel Lock
- 9. 【ML&DL】【skimming】The Loss Surfaces of Multilayer Networks
- 10. Searching for a valid kernel header path... The path "" is not a valid path to the ***** kernel head