3.8 Proceedings Paper

Oriented RepPoints for Aerial Object Detection

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

Jian Ding et al.

Summary: This paper presents a large-scale DOTA dataset for object detection in aerial images, along with comprehensive baselines and a code library. The dataset and evaluations provided can facilitate the design of robust algorithms and reproducible research in the field of object detection in aerial images.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)

Proceedings Paper Computer Science, Artificial Intelligence

IQDet: Instance-wise Quality Distribution Sampling for Object Detection

Yuchen Ma et al.

Summary: The researchers proposed a dense object detector IQDet with an instancewise sampling strategy, which automatically selects high-quality training samples based on quality distribution modeling. The method achieved significant performance improvement on the MS COCO dataset.

2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)

Proceedings Paper Computer Science, Artificial Intelligence

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

Xue Yang et al.

Summary: This paper introduces a classification-based approach for rotation detection, which significantly improves detection accuracy by utilizing new encoding mechanism and loss re-weighting techniques. The method has been proven effective across various datasets including aerial images and scene text.

2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)

Article Computer Science, Artificial Intelligence

Focal Loss for Dense Object Detection

Tsung-Yi Lin et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)

Article Computer Science, Artificial Intelligence

Feature agglomeration networks for single stage face detection

Jialiang Zhang et al.

NEUROCOMPUTING (2020)

Article Geography, Physical

Object detection in optical remote sensing images: A survey and a new benchmark

Ke Li et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

Article Geography, Physical

Oriented objects as pairs of middle lines

Haoran Wei et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery

Gongjie Zhang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Clustered Object Detection in Aerial Images

Fan Yang et al.

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)

Proceedings Paper Imaging Science & Photographic Technology

FEATURE-ATTENTIONED OBJECT DETECTION IN REMOTE SENSING IMAGERY

Chengzheng Li et al.

2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2019)

Proceedings Paper Energy & Fuels

Space Charge Analysis of Polyethylene with Chemical Defects Based on Density Function Theory

Tao Lin et al.

2018 IEEE INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION (ICHVE) (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Rotation-sensitive Regression for Oriented Scene Text Detection

Minghui Liao et al.

2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)

Article Computer Science, Artificial Intelligence

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Proceedings Paper Computer Science, Artificial Intelligence

A Point Set Generation Network for 3D Object Reconstruction from a Single Image

Haoqiang Fan et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)