一、创新改进思路或解决的问题 利用具有[HCANet]中的CAFM,其具有获取全局和局部信息的注意力机制进行二次改进content-guided attention fusion。 二、基本原理 HCGNet原文:HCANet: A Hierarchical Context Aggregation Network for Semantic Segmentation of High-Resolution Remote Sensing Images | IEEE Journals & Magazi...
YOLOv8最新改进系列:融合最新顶会提出的HCANet网络中卷积和注意力融合模块(CAFM),有效提升小目标检测性能,大幅度拉升目标检测效果!遥遥领先!, 视频播放量 2386、弹幕量 0、点赞数 23、投硬币枚数 2、收藏人数 47、转发人数 2, 视频作者 Ai学术叫叫兽, 作者简介 我是让科
YoloV8改进策略：Neck层改进、注意力改进|HCANet全局与局部的注意力模块CAFM|二次创新|即插即用 YoloV8...
8) args = [[ch[f_] for f_ in f], c2] elif m is IFM: c1 = ch[f] c2 = sum(args[0]) args = [c1, *args] elif m is InjectionMultiSum_Auto_pool: c1 = ch[f[0]] c2 = args[0] args = [c1, *args] elif m is PyramidPoolAgg: c2 = args[0] args = [sum([ch[f_]...
CAFM, AFGCAttention, EUCB, ContrastDrivenFeatureAggregation, FSA}: c2 = ch[f] args = [c2, *args] # print(args) elif m in {SimAM, SpatialGroupEnhance}: c2 = ch[f] elif m is ContextGuidedBlock_Down: c2 = ch[f] * 2 args = [ch[f], c2, *args] elif m is BiFusion: c1 = ...
36【YOLOv8改进】CAFM(Convolution and Attention Fusion Module):卷积和注意力融合模块https://blog.csdn.net/shangyanaf/article/details/139305822混合卷积注意力机制 37【YOLOv8改进】MSFN(Multi-Scale Feed-Forward Network):多尺度前馈网络https://blog.csdn.net/shangyanaf/article/details/139306250其他 ...
(CGDown), and 1.75% (DyHead), respectively; the detection speed increased by 12.85% (RGCSPELAN), 2.60% (WaveletPool) and 20.22% (LSCD) respectively; the best attention mechanism module improved the mAP value by 1.88% (CAFM); the loss function did not improve the ...
12.第十二讲 添加Haar小波下采样Down_wt卷积 https://www.bilibili.com/video/BV1sZyWYtEJR/?vd_source=8a6043a22d94a87da35299c073140577 13.第十三讲 添加卷积和注意力融合模块(CAFM) 提升小目标和遮挡检测 https://www.bilibili.com/video/BV1kcysYsEdJ/?vd_source=8a6043a22d94a87da35299c073140577Abo...
{CGAFusion, CAFMFusion, SDFM, PSFM}: c2 = ch[f[1]] args = [c2, *args] elif m in {ContextGuideFusionModule}: c1 = [ch[x] for x in f] c2 = 2 * c1[1] args = [c1] # elif m in {PSA}: # c2 = ch[f] # args = [c2, *args] elif m in {SBA}: c1 = [ch[x]...
YOLOv11模型改进-注意力-引入卷积和注意力融合模块(CAFM) 提升小目标和遮挡检测-CSDN博客 YOLOv11模型改进-模块-引入多尺度大核注意力Multi-scale Large Kernel Attention-CSDN博客 YOLO11改进-注意力-引入级联组注意力机制(Cascaded Group Attention, CGA)_yolov11注意力机制-CSDN博客 ...