3.2. Global-Local Cross-Attention 首先我们遵循[1]中展示的计算方法去给第i个注意力块计算累加注意力分数。……,然后我们使用聚合注意力图去挖掘高反应区域。……,最后我们计算被选中的局部序列和全局键值对之间的交叉注意力。 我们观察到GLCA可以帮助强化空间方向的具有区分度的细节去提升细粒度类别识别效果。……...
Official Pytorch implementation of Dual Cross-Attention for Medical Image Segmentation - gorkemcanates/Dual-Cross-Attention
In this paper, we propose a dual cross-attention multi-stage embedding network (DCMENet) for fast and accurate enhancement of low-light images into high-quality images with high visibility. The problem that enhanced images tend to have more noise in them, which affects the image quality, is ...
# Dual Cross Attention # Copyright (c) 2023 Gorkem Can Ates # Licensed under The MIT License [see LICENSE for details] # Written by Gorkem Can Ates (gca45@miami.edu) # --- import os import torch 0 comments on commit c4349e9 Please sign in to comment. Footer © 2024 GitHub,...
Dual-Branch Cross-Attention Network for Micro-Expression Recognition with Transformer Variants 来自 EBSCO 喜欢 0 阅读量: 1 作者:Z Xie,C Zhao 摘要: A micro-expression (ME), as a spontaneous facial expression, usually occurs instantaneously and is difficult to disguise after an emotion-evoking ...
(a) The pipeline of DCAT; (b) Dual cross-attention mixer; (c) Cross-attention mechanism. DCAT is divided into two main components: an encoder and a decoder. The encoder is the dual cross-attention mixer, which extracts hierarchical features using a combination of CNN and transformer. The ...
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention Shengheng Deng1,*, Zhihao Liang1,3,*, Lin Sun2 and Kui Jia1,4,† 1South China University of Technology, 2Magic Leap, Sunnyvale, CA 3DexForce Technology Co., Ltd., 4Peng Cheng ...
Therefore, a dual-branch network model based on the attention mechanism, Cross-UNet, is proposed in this paper for infrared and visible image fusion. First, the encoder part adopts an asymmetric convolution kernel, which can simultaneously obtain local detail information and global structural ...
Upon that, we embed a dynamic mask module in front of the cross-attention-based dual-stream network to further improve the reconstruction quality of the system. Specifically, the dynamic mask module utilizes RGB images to pre-learn the spatial feature distribution of the scene. Then the dynamic...
This repository is the PyTorch implementation of "Most Important Person-guided Dual-branch Cross-Patch Attention for Group Affect Recognition." Please feel free to reach out for any questions or discussions. If you use the codes and models from this repo, please cite our work. Thanks! @inprocee...