Nov 28, 2019 · Featurized image pyramid has used extensively not only on object detection but also on human pose estimation and other computer vision tasks.

Nov 28, 2019 · We present a network named Weighted Feature Pyramid Network (WFPN) to address these problems. Our experimental results on PASCAL VOC and MS COCO ...

The proposed method, is called a Weighted Feature Pyramid Network (WFPN), and shows significant improvement over the traditional feature pyramids in several ...

Aug 7, 2024 · This paper proposes weighted parallel decoupled FPN (WPDFPN). Specifically, selective fusion and elimination (SFE) focusing on internal construction of pyramid ...

We incorporate the proposed AFPN into both two-stage and one-stage object detection frameworks and evaluate with the MS-COCO 2017 validation and test datasets.

In this paper, we exploit the inherent multi-scale, pyramidal hierarchy of deep convolutional networks to con- struct feature pyramids with marginal extra cost.

A weighted Bi-Directional Feature Pyramid Network (BiFPN), was developed by Tan et al. [10] in 2019 and is utilised in the modified EfficientNet model referred ...

May 3, 2023 · In this paper, we present a novel multi-scale semantic enhancement feature pyramid network (MSE-FPN) which consists of three effective modules.

Mar 26, 2018 · FPN is a feature extractor designed for such pyramid concept with accuracy and speed in mind. It replaces the feature extractor of detectors like Faster R-CNN.

Jan 17, 2019 · A clean and simple framework for building feature pyramids inside the convolutional neural network (CNN), significant improvements are shown over several ...