mIoU: 80.6%Time (ms): 32.2Frame (fps): 31.1(3090)
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Real-Time Semantic Segmentation
Semantic Segmentation is a computer vision task that involves assigning a semantic label to each pixel in an image. In Real-Time Semantic Segmentation, the goal is to perform this labeling quickly and accurately in real-time, allowing for the segmentation results to be used for tasks such as object recognition, scene understanding, and autonomous navigation.
<span style="color:grey; opacity: 0.6">( Image credit: TorchSeg )</span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
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Dataset기록된 모델 예시MetricPaperCode
데이터셋
8개논문
mIoU: 77.4%Time (ms): 9.8Frame (fps): 101.6(2080Ti)
mIoU: 75.9%Time (ms): 18.8
(1080Ti)Frame (fps): 53
(1080Ti)
mIoU: 75.8%Time (ms): 27.1Frame (fps): 36.9
mIoU: 75.5%Frame (fps): 39.9
mIoU: 77.5%Frame (fps): 102.6(1080Ti)
mIoU: 76.8%Frame (fps): 97.0(1080Ti)
mIoU: 78.3%Time (ms): 33Frame (fps): 30
mIoU: 80.4%Time (ms): 39.2Frame (fps): 25.7(1080Ti)
mIoU: 76.41%
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