Dataset Groups Activity Stream GSVNET: GUIDED SPATIALLY-VARYING CONVOLUTION FOR FAST SEMANTIC SEGMENTATION ON VIDEO This paper addresses fast semantic segmentation on video. The dataset used is Cityscapes and CamVid. BibTex: @dataset{Shih-Po_Lee_and_Si-Cun_Chen_and_Wen-Hsiao_Peng_2024, abstract = {This paper addresses fast semantic segmentation on video. The dataset used is Cityscapes and CamVid.}, author = {Shih-Po Lee and Si-Cun Chen and Wen-Hsiao Peng}, doi = {10.57702/tosxp09m}, institution = {No Organization}, keyword = {'CamVid', 'Cityscapes', 'semantic segmentation', 'video'}, month = {dec}, publisher = {TIB}, title = {GSVNET: GUIDED SPATIALLY-VARYING CONVOLUTION FOR FAST SEMANTIC SEGMENTATION ON VIDEO}, url = {https://service.tib.eu/ldmservice/dataset/gsvnet--guided-spatially-varying-convolution-for-fast-semantic-segmentation-on-video}, year = {2024} }
