Attentional Feature Fusion

[2009.14082] Attentional Feature Fusion - arXiv

Title:Attentional Feature Fusion ... Abstract:Feature fusion, the combination of features from different layers or branches, is an omnipresent ...

Attentional Feature Fusion - CVF Open Access

To better fuse features of inconsistent semantics and scales, we propose a multi- scale channel attention module, which addresses issues that arise when fusing ...

Attentional Feature Fusion - IEEE Xplore

To better fuse features of inconsistent semantics and scales, we propose a multi- scale channel attention module, which addresses issues that arise when fusing ...

Attentional Feature Fusion - IEEE Computer Society

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

[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 ...

code and trained models for "Attentional Feature Fusion" - GitHub

All trained model params and training logs are in ./params. The training commands / shell scripts are in cmd_scripts.txt.

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 ...

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

In this paper, a twofold Siamese network, named SD-Siam, is proposed to extract the features of the object effectively.

A New Baseline for Text-to-Video Retrieval - NASA/ADS

... attention. We propose Lightweight Attentional Feature Fusion (LAFF). LAFF performs feature fusion at both early and late stages and at both video and text ...

[2401.16886] CAFCT: Contextual and Attentional Feature Fusions of ...

... Attentional Feature Fusion (AFF), Atrous Spatial Pyramid Pooling (ASPP) of DeepLabv3, and Attention Gates (AGs) to improve contextual ...

Frequency-Aware Attentional Feature Fusion for Deepfake Detection

We propose a novel framework to aggregate diverse information for deepfake detection from both RGB and frequency.

Iterative cross-attention guided feature fusion for multispectral object ...

Highlights. •. A novel dual cross-attention feature fusion method is proposed for multispectral object detection, which simultaneously aggregates complementary ...

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.

396 - Attentional Feature Fusion - YouTube

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

LAFF is proposed, a new baseline for text-to-video retrieval that performs feature fusion at both early and late stages and at both video and text ends, ...

(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.

【WACV 2021 Oral】Attentional Feature Fusion - GrokCV Group

We present a multi-scale dynamic feature fusion approach for modern network architectures. Our work in a nutshell is like a Russian doll.

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

LAFF performs feature fusion at both early and late stages and at both video and text ends, making it a powerful method for exploiting diverse (off-the-shelf) ...

Feature Fusion by Attention Networks for Robust DOA Estimation

Deep neural networks-based DOA systems have recently demonstrated better performances than conventional ones. However, most of the existing networks use only ...

Multi-Task Learning-Based Attentional Feature ... - IOS Press Ebooks

In this paper, we propose a multi-task learning-based Attentional Feature Fusion Network (MAFF-Net) to reconstruct visually high-quality images from low- ...