STDC-MA方法在小物体上更平滑、更准确。在第一行中,STDC-MA获得了比STDC-Seg网络更准确的路灯Mask。在第二排和第三排,STDC-Seg错误地预测了栏杆。在第4行和第5行,STDC-MA在预测行人方面表现出更平滑的结果,很接近于GT,并且优于STDC-Seg网络。 4参考 [1].STDC-MA NETWORK FOR SEMANTIC SEGMENTATION 5
Fast semantic segmentation for remote sensing images with an improved Short-Term Dense-Connection (STDC) networkMengjia LiuPeng LiuLingjun ZhaoYan MaLajiao ChenMengzhen Xu
CGNet: A Light-weight Context Guided Network for Semantic Segmentation[codes] Abstract: The demand of applying semantic segmentation model on mobile devices has been increasing rapidly. Current state-of-the-art networks have enormous amount of parameters hence unsuitable for mobile devices, while other...
Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation" - MichaelFan01/STDC-Seg
A total of 600 UAV aerial images were densely annotated with 12 semantic categories. Given the complex backgrounds, diverse categories, and small UAV aerial image targets, we propose the STDC-CT real-time semantic segmentation network for UAV recognition of emergency landing zones. The STDC-CT ...
However, most algorithms based on DCNN have high computational complexity, making them unsuitable for real‐time segmentation. To solve this problem, this paper proposes a real‐time semantic segmentation algorithm based on the STDC network. The algorithm adopts an "encoder–decoder" emb...
CGNet: A Light-weight Context Guided Network for Semantic Segmentation[codes] Abstract: The demand of applying semantic segmentation model on mobile devices has been increasing rapidly. Current state-of-the-art networks have enormous amount of parameters hence unsuitable for mobile devices, while other...