合集-目标检测论文
迈向大规模小目标检测:综述与数据集 -- Towards Large-Scale Small Object Detection: Survey and Benchmarks
摘要:文献阅读笔记:
迈向大规模小目标检测:综述与数据集 -- Towards Large-Scale Small Object Detection: Survey and Benchmarks
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CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases 阅读笔记
摘要:CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases CoType: 基于知识库的类型化实体和关系联合抽取 Author(s): Xiang Ren† Zeqiu Wu† Wenqi He† Men
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Using the Improved Mask R-cnn and Softer-nms for Target Segmentation of Remote Sensing Image
摘要:Using the Improved Mask R-cnn and Softer-nms for Target Segmentation of Remote Sensing Image
利用改进的mask R-cnn和soft -nms进行遥感图像目标分割
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文献泛读
摘要:1. Aerial Target Detection Based on the Improved YOLOv3 Algorithm
2. Aircraft Rotated Boxes Detection Method Based on YOLOv5
3. Bottleneck transformers for visual recognition
4. Learning RoI transformer for oriented object detection in aerial images
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目标检测相关文献
摘要:Ouyang L, Wang H. Aerial target detection based on the improved YOLOv3 algorithm[C]//2019 6th International Conference on Systems and Informatics (ICS
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DETR 系列
摘要:目录DETR1. 先理解背景:传统目标检测的“麻烦事”2. DETR 的核心思路:两大“神器”(1)用“ bipartite matching 损失”解决“匹配问题”(2)用“Transformer encoder-decoder”做“全局推理”3. DETR的效果:和经典模型比怎么样?4. 拓展:
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