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
RoI Transformer is with lightweight and can be easily embedded into detectors for oriented object detection. Simply apply the RoI Transformer to light head RCNN has achieved state-of-the-art performances on two common and challenging aerial datasets, i.e., DOTA and HRSC2016, with a neglectable...
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... ...
In this work, we use two industry-related application cases as a benchmark of the object detection strategy. In the first case, we deal with the detection of one of the most common defects that can affect steel surfaces, i.e. coating breakdown and/or corrosion (CBC) in any of its many...
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...
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...
In the Synthetic Aperture Radar (SAR) ship target detection task, the targets have a large aspect ratio and dense distribution, and they are arranged in arbitrary directions. The oriented bounding box-based detection methods can output accurate detection
To be more specific, the acceleration of simulation for DFT and MDS, surface engineering of desired properties and object-oriented molecular generation can be further correlated with the state-of-the-art AI models, including BO, CNN, GNN, VAE, GAN, DDPM, Transformer and LLM. We try to draw...