which is designed for the semantic segmentation of urban scenes. We have brought out several challenges for the new dataset: the large scale variation between objects in different distances or of different categories, the moving object (separation of moving ...
3. LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation Page:https://github.com/Junjue-Wang/LoveDA Download:https://zenodo.org/records/5706578 Paper:https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/file/4e732ced3463d06de0ca9a15b6153677-Paper-round...
DatasetSemantic segmentation has been one of the leading research interests in computer vision recently. It serves as a perception foundation for many fields, such as robotics and autonomous driving. The fast development of semantic segmentation attributes enormously to the large scale datasets, ...
代码、数据和经过训练的模型可以在https://github.com/mseg-dataset上获得。
Semantic Segmentation Dataset 1.Overview To address the semantic segmentation problem, you can try context aggregation strategy. The label of a pixel is the category of the object that the pixel belongs to. There is one simple yet effective approach, object-contextual representations, characterizing ...
Semantic segmentation RescueNet24is a dataset collected from the areas affected by Hurricane Michael, utilizing UAVs. The dataset comprises multiple classes, including water, building-no-damage, building-minor-damage, building-major-damage, building-total-destruction, vehicle, road-clear, road-blocked,...
Search before asking I have searched the YOLOv8 issues and discussions and found no similar questions. Question I'm currently trying to create a 1:1 conversion of Yolov8-Segmentation model "large" to TensorFlow for the semantic segmentat...
our UAVid dataset, a new high-resolution UAV semantic segmentation dataset as a complement, which brings new challenges, including large scale variation, moving object recognition and temporal consistency preservation. Our UAV dataset consists of 30 video sequences capturing high-resolution images in ...
Cross-Dataset Collaborative Learning for Semantic Segmentationarxiv.org/abs/2103.11351 一、摘要 本文着重于解决如何用不同的数据集去训练一个统一的模型,而且保证模型的泛化性能和对特征的判别性能。为解决上述问题,文章提出了两个结构:Dataset-Aware Blocks(DAB)和Dataset Alternation Training(DAT)。用PSPNet作为...
Semantic Segmentation on MIT ADE20K dataset in PyTorch This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing dataset (http://sceneparsing.csail.mit.edu/). ADE20K is the largest open source dataset for semantic segmentation and scene parsing, released by MIT...