Small-Object-Detection Popular repositoriesLoading SAHISAHIPublic Forked fromobss/sahi Framework agnostic sliced/tiled inference + interactive ui + error analysis plots Python QueryDetQueryDetPublic Forked fromChenhongyiYang/QueryDet-PyTorch [CVPR 2022 Oral] QueryDet: Cascaded Sparse Query for Accelerating ...
This project provides the implementation for Stitcher: Feedback-driven Data Provider for Object Detection. In this paper, we present Stitcher, a feedback-driven data provider, which aims to train object detectors in a balanced way. In Stitcher, images are resized into smaller components and then...
论文地址: Ensemble Fusion for Small Object Detectiongithub地址: https://github.com/Howardkhh/MVATeam1本文介绍了一种通过ensemble融合方法提高小对象检测性能的研究。该研究针对小物体检测(SOD)任务中的…
from torch.nnimportfunctionalasFclassChannelAttention(nn.Module):# Channel-attention module https://github.com/open-mmlab/mmdetection/tree/v3.0.0rc1/configs/rtmdet def__init__(self,channels:int)->None:super().__init__()self.pool=nn.AdaptiveAvgPool2d(1)self.fc=nn.Conv2d(channels,channels,1...
The code and dataset are publicly available at https://github.com/dhuvisionlab/YOLO-SOD .Sayed JobaerXue-song TangYihong ZhangEngineering Applications of Artificial Intelligence
代码: https://github.com/zzl-pointcloud/Data_Augmentation_Zoo_for_Object_Detection论文: https://arxiv.org/pdf/1902.07296v1.pdf已经测试了的数据集KITTI,VOC2007+2012。 VOC数据集下载地址: https://ai…
Code is available at https:// github.com/shaunyuan22/CFINet. 1. Introduction Small object detection (SOD) 1 aims to classify and lo- calize the instances with limited regions, which plays an im- portant role in a wide range of scenarios, suc...
Small object detection for unmanned aerial vehicle (UAV) image scenarios is a challenging task in the computer vision field. Some problems should be further studied, such as the dense small objects and background noise in high-altitude aerial photography images. To address these issues, an enhance...
Object detection constitutes a foundational task within the realm of computer vision, comprising two key steps: (1) identification of potential object locations, and (2) categorization of identified objects into distinct classes. Prior to the emergence of deep learning techniques, object detection relie...
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection(QueryDet:用于加速高分辨率小目标检测的级联稀疏查询) 论文地址:https://arxiv.org/pdf/2103.09136.pdf代码地址:https://github.com/ ChenhongyiYang/QueryDet-PyTorch