Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...

Abstract: Video semantic segmentation aims to assign a semantic label to each pixel in a video by jointly exploiting spatial context and temporal coherence, and it is essential for applications such ...

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet ...

The Semantic Hacking Project ran from 2001 to 2003. It focused on how information systems (and the human decisions shaped by them) could be exploited through attacks not on code or infrastructure, but ...

This repo is the official pytorch implementation of the paper: CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation ...