AMiner推荐论文：A Normalized Gaussian Wasserstein Distance for Tiny Object Detection - 代码天地

AMiner推荐论文：A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

其他 2021-12-13 17:16:41 阅读次数: 0

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转载自blog.csdn.net/AI_Conf/article/details/121356554

AMiner推荐论文：A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

【SPRS J P & RS 2022】小目标检测模块：A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

提升小目标检测新的包围框相似度度量：Normalized Gaussian Wasserstein Distance

提升小目标检测的一种新的包围框相似度度量：Normalized Gaussian Wasserstein Distance

优化改进YOLOv5算法之改进用于微小目标检测的Normalized Gaussian Wasserstein Distance模块(超详细)

RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection

Quantization Mimic: Towards Very Tiny CNN for Object Detection 论文笔记

《Quantization Mimic: Towards Very Tiny CNN for Object Detection》的阅读总结

【ICPR 2021】遥感图中的密集小目标检测：Tiny Object Detection in Aerial Images

normalized

各种对象检测论文总结(Object Detection )

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Scale-Transferrable Object Detection论文解析

论文阅读 | CenterNet：Object Detection with Keypoint Triplets

论文翻译 | CenterNet: Keypoint Triplets for Object Detection

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论文解读之《Augmentation for small object detection》

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Object Detection

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