Mar 25, 2020 · Attention mechanism and feature pyramid have been widely used in various fields of deep learning in recent years.
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We propose Attentional Feature Pyramid Network (AFPN), a new feature pyramid network to detect small objects with a few pixels and in dense distribution with ...
May 5, 2023 · By introducing contextual information and attention mechanisms, the HA-FPN significantly improves the accuracy of bounding box detection, ...
May 23, 2020 · We build a novel architecture, called Attention-guided Context Feature Pyramid Network (AC-FPN), that exploits discriminative information from various large ...
Attention-guided Context Feature Pyramid Network for Object Detection. This repository re-implements AC-FPN on the base of Detectron-Cascade-RCNN. Please ...
Nov 18, 2022 · In this work, we improve the performance of the single-stage detector for detecting objects of small sizes. The proposed method makes two major novel ...
Feature Pyramid Network (FPN) plays a critical role and is indispensable for object detection methods. In recent years, attention mechanism has been ...
Learning pyramidal feature representations is crucial for recognizing object instances at different scales. Fea- ture Pyramid Network (FPN) is the classic ...
A multi-scale feature fusion pyramid attention module is proposed to better capture global and local features and improve the performance of object detection.
Aug 20, 2024 · Effective small object detection is crucial in various applications including urban intelligent transportation and pedestrian detection.