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20202025
most citedCFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

248 citations · 493 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

Faster and Better: Reinforced Collaborative Distillation and Self-Learning for Infrared-Visible Image Fusion

Yuhao Wang, Lingjuan Miao, Zhiqiang Zhou +2

Infrared and visible image fusion plays a critical role in enhancing scene perception by combining complementary information from different modalities. Despite recent advances, ach…

cs.CV2025

CoCAViT: Compact Vision Transformer with Robust Global Coordination

Xuyang Wang, Lingjuan Miao, Zhiqiang Zhou

In recent years, large-scale visual backbones have demonstrated remarkable capabilities in learning general-purpose features from images via extensive pre-training. Concurrently, m…

cs.CV2024

Semantic Object-level Modeling for Robust Visual Camera Relocalization

Yifan Zhu, Lingjuan Miao, Haitao Wu +3

Visual relocalization is crucial for autonomous visual localization and navigation of mobile robotics. Due to the improvement of CNN-based object detection algorithm, the robustnes…

cs.CV2024★ 5 cited

Infrared and Visible Image Fusion with Language-Driven Loss in CLIP Embedding Space

Yuhao Wang, Lingjuan Miao, Zhiqiang Zhou +2

Infrared-visible image fusion (IVIF) has attracted much attention owing to the highly-complementary properties of the two image modalities. Due to the lack of ground-truth fused im…

cs.CV2021★ 124 cited

Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss

Qi Ming, Lingjuan Miao, Zhiqiang Zhou +2

Arbitrary-oriented objects exist widely in natural scenes, and thus the oriented object detection has received extensive attention in recent years. The mainstream rotation detector…

cs.CV2021★ 248 cited

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

Qi Ming, Lingjuan Miao, Zhiqiang Zhou +1

Object detection in optical remote sensing images is an important and challenging task. In recent years, the methods based on convolutional neural networks have made good progress.…

cs.CV2020★ 24 cited

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection

Qi Ming, Zhiqiang Zhou, Lingjuan Miao +2

Arbitrary-oriented objects widely appear in natural scenes, aerial photographs, remote sensing images, etc., thus arbitrary-oriented object detection has received considerable atte…

cs.CV2020★ 92 cited

A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box

Linhao Li, Zhiqiang Zhou, Bo Wang +2

Currently, reliable and accurate ship detection in optical remote sensing images is still challenging. Even the state-of-the-art convolutional neural network (CNN) based methods ca…