One-stage Anchor-free Oriented Object Detection
11 papers with code • 2 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in One-stage Anchor-free Oriented Object Detection
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Libraries
Use these libraries to find One-stage Anchor-free Oriented Object Detection models and implementations
HRSC2016
SKU110K-R
Most implemented papers
YOLOv3: An Incremental Improvement
At 320x320 YOLOv3 runs in 22 ms at 28. 2 mAP, as accurate as SSD but three times faster.
Objects as Points
We model an object as a single point --- the center point of its bounding box.
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
In this paper, we aim to design an efficient real-time object detector that exceeds the YOLO series and is easily extensible for many object recognition tasks such as instance segmentation and rotated object detection.
Oriented RepPoints for Aerial Object Detection
LiWentomng/OrientedRepPoints
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CVPR 2022
In contrast to the generic object, aerial targets are often non-axis aligned with arbitrary orientations having the cluttered surroundings.
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector
With multi-scale training and testing, PP-YOLOE-R-l and PP-YOLOE-R-x further improve the detection precision to 80. 02 and 80. 73 mAP.
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Anymake/DRN_CVPR2020
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CVPR 2020
However, the detection of oriented and densely packed objects remains challenging because of following inherent reasons: (1) receptive fields of neurons are all axis-aligned and of the same shape, whereas objects are usually of diverse shapes and align along various directions; (2) detection models are typically trained with generic knowledge and may not generalize well to handle specific objects at test time; (3) the limited dataset hinders the development on this task.
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments
The experimental results show that PIoU loss can dramatically improve the performance of OBB detectors, particularly on objects with high aspect ratios and complex backgrounds.
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
yijingru/BBAVectors-Oriented-Object-Detection
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To address this issue, in this work we extend the horizontal keypoint-based object detector to the oriented object detection task.
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection
We present a novel approach for oriented object detection, named TricubeNet, which localizes oriented objects using visual cues ($i. e.,$ heatmap) instead of oriented box offsets regression.
DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection
We present DAFNe, a Dense one-stage Anchor-Free deep Network for oriented object detection.
