Semantic segmentation in remote sensing is a fundamental task with crucial applications across various domains. Traditional approaches primarily utilize bottom-up discriminative methods, where network ...

More precisely, our dataset has 4,364 image frames with semantic and instance annotations along with 58,689 unlabelled image frames. We validate our new dataset through a large and comprehensive range ...