Dataset Groups Activity Stream Pixel-Level Bijective Matching for Video Object Segmentation Semi-supervised video object segmentation (VOS) aims to track the designated objects present in the initial frame of a video at the pixel level. BibTex: @dataset{Suhwan_Cho_and_Heansung_Lee_and_Minjung_Kim_and_Sungjun_Jang_and_Sangyoun_Lee_2024, abstract = {Semi-supervised video object segmentation (VOS) aims to track the designated objects present in the initial frame of a video at the pixel level.}, author = {Suhwan Cho and Heansung Lee and Minjung Kim and Sungjun Jang and Sangyoun Lee}, doi = {10.57702/zb7nb1jj}, institution = {No Organization}, keyword = {'Bijective Matching', 'Mask Embedding', 'Semi-supervised VOS', 'Video Object Segmentation'}, month = {dec}, publisher = {TIB}, title = {Pixel-Level Bijective Matching for Video Object Segmentation}, url = {https://service.tib.eu/ldmservice/dataset/pixel-level-bijective-matching-for-video-object-segmentation}, year = {2024} }
