Search: feature pyramid network — Academic Articles

LBT-YOLO: A Lightweight Road Targeting Algorithm Based on Task Aligned Dynamic Detection Heads

Pei Tang, Zhenyu Ding, Minnan Jiang, Weikai Xu et al. • IEEE Access (2024)

Autonomous driving technology plays a key role in addressing traffic safety issues and relieving traffic congestion by virtue of its capabilities of enabling accurate environmental perception and real-time response. Aiming at the problem of...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3509694

View Article » Original Source ↗

Small Object Detection Algorithm Based on Improved YOLOv8 for Remote Sensing

Hao Yi, Bo Liu, Bin Zhao, Enhai Liu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

Due to the limitations of small targets in remote sensing images, such as background noise, poor information, and so on, the results of commonly used detection algorithms in small target detection is not satisfactory. To improve the accurac...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2023.3339235

View Article » Original Source ↗

Unconstrained Bilingual Scene Text Reading Using Octave as a Feature Extractor

Direselign Addis Tadesse, Chuan-Ming Liu, Van-Dai Ta • Applied Sciences (2020)

Reading text and unified text detection and recognition from natural images are the most challenging applications in computer vision and document analysis. Previously proposed end-to-end scene text reading methods do not consider the freque...

DOAJ Open Access (DOAJ) DOI: 10.3390/app10134474

View Article » Original Source ↗

Feature Rescaling and Fusion for Tiny Object Detection

Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang et al. • IEEE Access (2021)

Recent years have witnessed rapid developments on computer vision, however, there are still challenges in detecting tiny objects in a large-scale background. The tiny objects knowledge become sparse and weak due to their tiny size, which ma...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3074790

View Article » Original Source ↗

Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm

Jialiang Wang, Jianxu Luo, Bin Liu, Rui Feng et al. • IET Computer Vision (2020)

In this work, we develop a computer‐aided retinal image screening system that can perform automated diabetic retinopathy (DR) grading and DR lesion detection in retinal fundus images. We propose a modified object‐detection method for this t...

DOAJ Open Access (DOAJ) DOI: 10.1049/iet-cvi.2018.5508

View Article » Original Source ↗

Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism

Yu Xiao, Xin Yang, Sijuan Huang, Lihua Guo • International Journal of Biomedical Imaging (2025)

Conclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages....

DOAJ Open Access (DOAJ) DOI: 10.1155/ijbi/7560099

View Article » Original Source ↗

Academic Articles & Research Papers

LBT-YOLO: A Lightweight Road Targeting Algorithm Based on Task Aligned Dynamic Detection Heads

Small Object Detection Algorithm Based on Improved YOLOv8 for Remote Sensing

Unconstrained Bilingual Scene Text Reading Using Octave as a Feature Extractor

Feature Rescaling and Fusion for Tiny Object Detection

Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm

Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism