Weakly supervised semantic segmentation (WSSS) aims at learning a semantic segmentation model with only image-level tags. Despite intensive research on deep learning approaches over a decade, there is ...

Semantic segmentation is a fundamental but challenging problem of pixel-level Remote Sensing ... Wei P. J., Shao Z. H., Wang J., Huang J. (2022). “DMF-CL: dense multi-scale feature contrastive ...

Semantic segmentation in large-scale aerial images is an extremely challenging task. On one hand, the limited ground truth, as compared to the vast area the images cover, greatly hinders the ...

With autonomous industries on the rise, domain adaptation of the visual perception stack is an important research direction due to the cost savings promise. Much prior art was dedicated to ...