[ ☁️40. 轻量化mobileone主干网络引入](YOLOv5、v7改进之四十:轻量化mobileone主干网络引入_人工智能算法研究院的博客-CSDN博客) [ ☁️41. 引入SPD-Conv处理低分辨率图像和小对象问题](人工智能算法研究:YOLOv5、v7改进之四十一:引入SPD-Conv处理低分辨率图像和小对象问题) [ ☁️42. 引入V7中...
1.SPD-Conv,低分辨率图像和小物体涨点明显 YOLOv7改进:SPD-Conv,低分辨率图像和小物体涨点明显,涨点神器!!!-CSDN博客 2. 小目标遮挡物性能提升(SEAM、MultiSEAM) YOLOv7改进:小目标遮挡物性能提升(SEAM、MultiSEAM),涨点神器!!!_AI小怪兽的博客-CSDN博客 3.Wasserstein Distance Loss,助力小目标涨点 YOLOv7...
1.SPD-Conv,低分辨率图像和小物体涨点明显 YOLOv7改进:SPD-Conv,低分辨率图像和小物体涨点明显,涨点神器!!!-CSDN博客 2. 小目标遮挡物性能提升(SEAM、MultiSEAM) YOLOv7改进:小目标遮挡物性能提升(SEAM、MultiSEAM),涨点神器!!!_AI小怪兽的博客-CSDN博客 3.Wasserstein Distance Loss,助力小目标涨点 YOLOv7...
Next, the CBAM attention mechanism module was introduced into three feature extraction layers of the YOLOv7 backbone network to enhance the model's feature extraction capability; the SPD-Conv module was used to replace the SConv module in the neck network's downsampling module...
At present, the YOLO series algorithms mainly included in YOLOU are: Anchor-base:YOLOv3,YOLOv4,YOLOv5,YOLOv5-Lite,YOLOv7,YOLOv5-TPH,YOLO-Fastest v2,YOLO-LF,YOLO-SA,YOLOR,YOLOv5-SPD Anchor-Free:YOLOv6-v1,YOLOv6-v2,YOLOX,YOLOE,YOLOX-Lite,FastestDet ...
Anchor-base: YOLOv3, YOLOv4, YOLOv5, YOLOv5-Lite, YOLOv7, YOLOv5-TPH, YOLO-Fastest v2, YOLO-LF, YOLO-SA, YOLOR, YOLOv5-SPD Anchor-Free: YOLOv6-v1, YOLOv6-v2, YOLOX, YOLOE, YOLOX-Lite, FastestDet Face-Detection: YOLOv5-Face, YOLOFace-v2 Segmentation: YOLOv5-Segment KeyPoint:...
Proposing novel SPD-Conv blocks to reduce feature loss caused by down-sampling.YOLOv7-tiny is optimized for detecting lotus flowers and seedpods with UAV i... Z Lyu,Y Wang,C Huang,... - 《Computers & Electronics in Agriculture》 被引量: 0发表: 2024年 加载更多来源...
Finally, the multi-head self-attention mechanism MHSA and SPD convolution building blocks are introduced at the output end to improve the detection performance of the output end for small targets of steel surface defects. The ablation and contrast experiments are carried out on the NEU-DET dataset...
[ ☁️41. 引入SPD-Conv处理低分辨率图像和小对象问题](人工智能算法研究:YOLOv5、v7改进之四十一:引入SPD-Conv处理低分辨率图像和小对象问题) [ ☁️42. 引入V7中的ELAN网络](人工智能算法研究:YOLOv5改进之四十二:引入V7中的ELAN网络,降低网络参数) ...
1.SPD-Conv，低分辨率图像和小物体涨点明显 YOLOv7改进：SPD-Conv，低分辨率图像和小物体涨点明显，涨...