WebJun 26, 2016 · In remote sensing, class imbalance represents often a problem for tasks like land cover mapping, as small objects get less prioritised in an effort to achieve the best overall accuracy. We propose a novel approach to achieve high overall accuracy, while still achieving good accuracy for small objects. WebJun 14, 2024 · We propose a novel data augmentation method named 'FenceMask' that exhibits outstanding performance in various computer vision tasks. It is based on the 'simulation of object occlusion' strategy, which aim to achieve the balance between object occlusion and information retention of the input data.
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WebMar 18, 2024 · Specifically, we propose a real-time segmentation model coined Narrow Deep Network (NDNet) and build a synthetic dataset by inserting additional small objects into the training images. The proposed method achieves 65.7% mean intersection over union (mIoU) on the Cityscapes test set with only 8.4G floating-point operations (FLOPs) on inputs. WebMar 18, 2024 · On the other hand, existing real-time methods cannot yet produce satisfactory results on small objects such as traffic lights, which are imperative to safe autonomous driving. In this paper, we improve the performance of real-time semantic segmentation from two perspectives, methodology and data. philips european penfield ny
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WebApr 12, 2024 · 1.Introduction. Agriculture is vital for human survival and remains a major driver of several economies around the world. Increasing demand for food and cash crops, due to a growing global population, the challenges posed by climate change, and pandemics impacted communities and farmers worldwide. WebSmall Object Augmentation of Urban Scenes for Real-Time Semantic Segmentation IEEE Trans Image Process. 2024 Mar 18. doi: 10.1109/TIP.2024.2976856. Online ahead of print. Authors Zhengeng Yang , Hongshan Yu , Mingtao Feng , Wei Sun , Xuefei Lin , Mingui Sun , Zhi-Hong Mao , Ajmal Mian PMID: 32191886 DOI: 10.1109/TIP.2024.2976856 WebJun 14, 2024 · We propose a novel data augmentation method named 'FenceMask' that exhibits outstanding performance in various computer vision tasks. It is based on the 'simulation of object occlusion' strategy, … philip seven