Sep 11, 2023 · This paper investigates the effectiveness of RetNet from a CNN perspective and presents a variant of RetNet tailored to the visual domain.

This paper investigates the effectiveness of RetNet from a CNN perspective and presents a variant of RetNet tailored to the visual domain.

This work introduces a conceptually simple scheme, called refiner, to directly refine the self-attention maps of ViTs, and explores attention expansion that ...

This paper investigates the effectiveness of RetNet from a CNN perspective and presents a variant of RetNet tailored to the visual domain. Similar to RetNet we ...

Jun 5, 2024 · Because of the nature of the transformer model, ViT is computationally expensive and requires longer training time than CNNs, and it has to deal ...

K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition ...

Chaoning Zhang via Scopus - Elsevier. Toward a Deeper Understanding: Retnet Viewed Through Convolution. SSRN. 2023 | Other. DOI: 10.2139/ssrn.4637493. EID: 2-s2 ...

Toward a deeper understanding: RetNet viewed through Convolution · Chenghao LiChaoning Zhang. Computer Science. Pattern Recognit. 2024. 2 Citations · PDF. Add ...

Toward a Deeper Understanding: RetNet Viewed through Convolution ... A straightforward way to locally adapt the self-attention matrix can be realized by an ...

2 Toward a deeper understanding: RetNet viewed through Convolution. Li, Chenghao; Zhang, Chaoning, PATTERN RECOGNITION, v.155, 2024-11. 3 “Unfenced” parks and ...