Search Results for author: Qi Ming

Found 9 papers, 7 papers with code

OsmLocator: locating overlapping scatter marks with a non-training generative perspective

1 code implementation18 Dec 2023 Yuming Qiu, Aleksandra Pizurica, Qi Ming, Nicolas Nadisic

In addition, we especially built a dataset named SML2023 containing hundreds of scatter images with different markers and various levels of overlapping severity, and tested the proposed method and compared it to existing methods.

Clustering Combinatorial Optimization +2

Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery

no code implementations13 Oct 2021 Qi Ming, Junjie Song, Zhiqiang Zhou

In this technical report, we analyzed the key issues of fine-grained object recognition, and use an oriented feature alignment network (OFA-Net) to achieve high-performance fine-grained oriented object recognition in optical remote sensing images.

Object object-detection +4

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

2 code implementations NeurIPS 2021 Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan

Taking the perspective that horizontal detection is a special case for rotated object detection, in this paper, we are motivated to change the design of rotation regression loss from induction paradigm to deduction methodology, in terms of the relation between rotation and horizontal detection.

Ranked #14 on Object Detection In Aerial Images on DOTA (using extra training data)

object-detection Object Detection In Aerial Images +1

Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss

1 code implementation22 Mar 2021 Qi Ming, Lingjuan Miao, Zhiqiang Zhou, Xue Yang, Yunpeng Dong

In this paper, we propose a Representation Invariance Loss (RIL) to optimize the bounding box regression for the rotating objects.

Ranked #27 on Object Detection In Aerial Images on DOTA (using extra training data)

Object object-detection +3

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

2 code implementations28 Jan 2021 Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian

Boundary discontinuity and its inconsistency to the final detection metric have been the bottleneck for rotating detection regression loss design.

Ranked #16 on Object Detection In Aerial Images on DOTA (using extra training data)

object-detection Object Detection In Aerial Images +2

CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

1 code implementation18 Jan 2021 Qi Ming, Lingjuan Miao, Zhiqiang Zhou, Yunpeng Dong

The proposed framework creates more powerful semantic representations for objects in remote sensing images and achieves high-performance real-time object detection.

Ranked #44 on Object Detection In Aerial Images on DOTA (using extra training data)

Object object-detection +4

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection

2 code implementations8 Dec 2020 Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, Linhao Li

With the newly introduced DAL, we achieve superior detection performance for arbitrary-oriented objects with only a few horizontal preset anchors.

 Ranked #1 on Multi-Oriented Scene Text Detection on ICDAR2015 (using extra training data)

Multi-Oriented Scene Text Detection Object +4

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