Picture for Qi Ming

Qi Ming

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

Add code
Dec 22, 2023
Viaarxiv icon

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

Add code
Oct 13, 2021
Figure 1 for Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery
Figure 2 for Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery
Figure 3 for Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery
Figure 4 for Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery
Viaarxiv icon

AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations

Add code
Jul 04, 2021
Figure 1 for AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations
Figure 2 for AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations
Figure 3 for AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations
Figure 4 for AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations
Viaarxiv icon

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

Add code
Jun 04, 2021
Figure 1 for Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Figure 2 for Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Figure 3 for Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Figure 4 for Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Viaarxiv icon

Optimization for Oriented Object Detection via Representation Invariance Loss

Add code
Mar 22, 2021
Figure 1 for Optimization for Oriented Object Detection via Representation Invariance Loss
Figure 2 for Optimization for Oriented Object Detection via Representation Invariance Loss
Figure 3 for Optimization for Oriented Object Detection via Representation Invariance Loss
Figure 4 for Optimization for Oriented Object Detection via Representation Invariance Loss
Viaarxiv icon

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Add code
Jan 28, 2021
Figure 1 for Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Figure 2 for Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Figure 3 for Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Figure 4 for Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Viaarxiv icon

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

Add code
Jan 18, 2021
Figure 1 for CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images
Figure 2 for CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images
Figure 3 for CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images
Figure 4 for CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images
Viaarxiv icon

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection

Add code
Dec 15, 2020
Figure 1 for Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Figure 2 for Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Figure 3 for Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Figure 4 for Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Viaarxiv icon