SeMask: Semantically Masked Transformers for Semantic Segmentation.
Jitesh JainAnukriti SinghNikita OrlovZilong HuangJiachen LiSteven WaltonHumphrey ShiPublished in: ICCV (Workshops) (2023)
Keyphrases
- semantic segmentation
- street scenes
- conditional random fields
- superpixels
- label transfer
- weakly supervised
- scene classification
- pascal voc
- object categories
- object class
- natural language
- image understanding
- object detection
- semantic information
- object recognition
- multiscale
- object classes
- input image
- object segmentation
- co occurrence
- multi class