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cs.CV2023
Gramian Attention Heads are Strong yet Efficient Vision Learners
Jongbin Ryu, Dongyoon Han, Jongwoo Lim
We introduce a novel architecture design that enhances expressiveness by incorporating multiple head classifiers (\ie, classification heads) instead of relying on channel expansion…
cs.CV2023
Spatial Bias for Attention-free Non-local Neural Networks
Junhyung Go, Jongbin Ryu
In this paper, we introduce the spatial bias to learn global knowledge without self-attention in convolutional neural networks. Owing to the limited receptive field, conventional c…