CSCL uses cascaded contextual and semantic consistency decoders with mask-supervised consistency matrices to achieve state-of-the-art detection and grounding on DGM4.
An empirical study of training end-to-end vision-and-language transformers
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation
CSCL uses cascaded contextual and semantic consistency decoders with mask-supervised consistency matrices to achieve state-of-the-art detection and grounding on DGM4.