Attention in Transformer-based Object Detection Ii-B1 Self-attention 目标Query 被输入到自注意力机制中,并与彼此相互作用以消除重复预测[10]。大多数基于 Transformer 的检测器采用 DETR[10]中的普通自注意力。 在普通自注意力中,只使用内容 Query ,而位置 Query 提供的几何关系被丢失。因此,普通自注意力没有...
To overcome these challenges, we present ASL-OOD (Angle-based SIOU Loss for Oriented Object Detection), a novel, efficient, and robust one-stage framework tailored for oriented object detection. The ASL-OOD framework comprises three core components: the Transformer-based Backbone (TB), the ...
AO2-DETR: Arbitrary-Oriented Object Detection Transformer (https://arxiv.org/abs/2205.12785). In this paper, we propose an end-to-end transformer-based detector AO2-DETR for arbitrary-oriented object detection. The proposed AO2-DETR comprises dedicated components to address AOOD challenges, including...
Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet mosaicmixuporiented-object-detectionmmdetectionrotation-equivariancerotated-objectswin-transformer UpdatedDec 25, 2021 Python A curated list of awesome resources for generic object detection in aerial images. ...
论文解读:DETR 《End-to-end object detection with transformers》,ECCV 2020 0. 论文基本信息 1. 论文解决的问题 2. 论文贡献 3. 方法框架 主干网络 transformer: 4. 目标检测转化为集合预测问题 5. 配对方式 - bipartie matching loss 损失函数 6. Transformer 7. 实例分割... ...
RoI Transformer检测模型目前在DOTA数据集排名第二。 RoI 干货| 一文总结旋转目标检测全面综述:论文方法与代码 阈值为0.5的NMS,消除一部分框,然后再计算倾斜框的IOU的基础上做一次阈值为0.2的NMS。 7. Learning roi transformer for oriented object detection in aerial images(cvpr2019 武大夏桂松 两阶段) 时间 1...
Faster R-CNN: Towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137-1149, 2016.[3] Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yin...
In the multi-scale training and testing scenario, our OII model achieves a competitive value of 80.82 mAP, demonstrating parity with the other state-of-the-art methods. These outcomes indicate the efficacy of our proposed approach for oriented object detection in remote sensing images. The visual...
Figure 1. Structures of current oriented object detection methods, including (a) AlignConv in S22ANet and (b) RoI transformer. In addition, objects with arbitrary orientation make it difficult to represent the boundaries with a horizontal bounding box (HBB). The aerial object detection task con...
Due to the high density of objects and their varying sizes, detecting them accurately and without repetition in such scenarios is more challenging than traditional object detection methods. In this paper, we propose a YOLOv5-based object detection approach equipped with a Transformer-based Head and...