[PDF] Attentional Feature Fusion

Attentional Feature Fusion - CVF Open Access

Feature fusion, the combination of features from differ- ent layers or branches, is an omnipresent part of modern network architectures.

[2009.14082] Attentional Feature Fusion - arXiv

View a PDF of the paper titled Attentional Feature Fusion, by Yimian Dai and Fabian Gieseke and Stefan Oehmcke and Yiquan Wu and Kobus Barnard.

(PDF) Attentional Feature Fusion - ResearchGate

Abstract and Figures · Input. image · to the object localization and small object recognition. attentional feature fusion, we compare the AFF and iAFF.

[PDF] Attentional Feature Fusion - Semantic Scholar

This work proposes a multiscale channel attention module, which addresses issues that arise when fusing features given at different scales, and demonstrates ...

Lightweight Attentional Feature Fusion: A New Baseline for Text-to ...

For video- end feature fusion, earlier works often simply use vector concatenation to merge multiple features in advance to cross-modal representation learning ...

Lightweight Attentional Feature Fusion: A New Baseline for Text-to ...

View a PDF of the paper titled Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval, by Fan Hu and Aozhu Chen ...

Attentional Feature Fusion | Request PDF - ResearchGate

Attentional Feature Fusion (AFF) [36] incorporates a multiscale channel attention module, integrating local channel contexts and global channel-wise statistics.

Attentional Feature Fusion for End-to-End Blind Image Quality ...

Index Terms—Hierarchical feature extraction, attentional fea- ture fusion, end-to-end, blind image quality assessment. I. INTRODUCTION. IMAGE ...

Accurate Visual Tracking with Attention Feature Fusion

The proposed tracker adopts a nonlinear method for feature fusion in backbone network, and introduces an iterative multi-scale attention module to learn.

Hierarchical Attentional Feature Fusion for Surgical Instrument ...

Abstract—Instrument segmentation is a crucial and chal- lenging task for robot-assisted surgery operations. Recent commonly-used models extract feature maps ...

Lightweight Attentional Feature Fusion: A New Baseline for Text-to ...

... making it a powerful method for exploiting diverse (off-the-shelf) features. Expand. View PDF on arXiv. Save to LibrarySave. Create AlertAlert. Cite. Share.

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing ... Downloads. PDF. Published. 2020-04-03. How to Cite. Qin, X., Wang, Z., Bai, Y ...

Frequency-Aware Attentional Feature Fusion for Deepfake Detection

Then we design a spatial-frequency feature fusion module to fuse the RGB- frequency information comprehensively. Moreover, a variant attention module is further ...

Attentional feature fusion - University of Arizona

Abstract. Feature fusion, the combination of features from different layers or branches, is an omnipresent part of modern network architectures. It is often ...

Multi-Level Context Attentional Feature Fusion for COVID-19 lesion ...

MLCA2F: Multi-Level Context Attentional Feature Fusion for COVID-19 lesion segmentation from CT scans ... Download PDF · Signal, Image and Video ...

Twofold Siamese Network with Attentional Feature Fusion for Object ...

More and more researchers pay attention to applying deep learning to obtain the powerful feature for robust tracking. Nowadays, feature fusion ...

Gastric polyp detection module based on improved attentional ...

In this paper, to improve the detection performance metrics of endoscopic gastric polyps, we propose an improved attentional feature fusion module.

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

3) An Attention- based different levels Feature Fusion (FFA) structure, the fea- ture weights are adaptively learned from the Feature Atten- tion (FA) module, ...

Attentional Feature Fusion: supplemental document

We also investigate the fusion strategy for the local and global contexts inside the attention module. We explored four strategies as shown in Fig. S2, in which ...

Multistage feature fusion knowledge distillation | Scientific Reports

Download PDF. Article; Open access ... This approach leverages a multistage feature fusion framework, cross-stage feature fusion attention ...