Rotated Object Detection with Circular Gaussian Distribution

Article Computer Science, Artificial Intelligence

SCRDet plus plus : Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

Xue Yang et al.

Summary: In this paper, we introduce the idea of denoising to object detection, enhancing the ability to detect small and cluttered objects. We also address the boundary problem caused by rotation variation by adding an IoU constant factor to the smooth L1 loss. Combining these features, our proposed detector, SCRDet++, shows effectiveness in extensive experiments on various datasets.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2023)

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Proceedings Paper Computer Science, Artificial Intelligence

PANDORA: A Panoramic Detection Dataset for Object with Orientation

Hang Xu et al.

Summary: Panoramic images have gained popularity with advancements in omnidirectional panoramic technology. Object detection is commonly used to understand the content of panoramic images, but the existing bounding box representation is inadequate, limiting detection performance. This paper introduces a new bounding box representation and designs an anchor-free object detector specifically for panoramic images.

COMPUTER VISION, ECCV 2022, PT VIII (2022)

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Article Computer Science, Artificial Intelligence

Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection

Yongchao Xu et al.

Summary: A framework for detecting multi-oriented objects is proposed in this paper, which accurately describes multi-oriented objects by sliding bounding box vertices and introducing additional target variables, achieving superior performances on multiple object detection benchmarks.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

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Article Geochemistry & Geophysics