%0 Journal Article %1 journals/tip/YiHGPZ22 %A Yi, Rumeng %A Huang, Yaping %A Guan, Qingji %A Pu, Mengyang %A Zhang, Runsheng %D 2022 %J IEEE Trans. Image Process. %K dblp %P 623-635 %T Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation. %U http://dblp.uni-trier.de/db/journals/tip/tip31.html#YiHGPZ22 %V 31

@article{journals/tip/YiHGPZ22, added-at = {2022-01-08T00:00:00.000+0100}, author = {Yi, Rumeng and Huang, Yaping and Guan, Qingji and Pu, Mengyang and Zhang, Runsheng}, biburl = {https://www.bibsonomy.org/bibtex/2a52ca0dd39e33444bc8de41e5a98caef/dblp}, ee = {https://doi.org/10.1109/TIP.2021.3134142}, interhash = {d8c15d3e190442b4445170bee4d94dab}, intrahash = {a52ca0dd39e33444bc8de41e5a98caef}, journal = {IEEE Trans. Image Process.}, keywords = {dblp}, pages = {623-635}, timestamp = {2024-04-09T07:18:13.000+0200}, title = {Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation.}, url = {http://dblp.uni-trier.de/db/journals/tip/tip31.html#YiHGPZ22}, volume = 31, year = 2022 }