IaMSB applies a Schrödinger Bridge in two stages to estimate cross-modal consistency and localize deepfake intervals, reporting 3-10% gains in AP@0.95 especially on single-sided forgeries.
Decoupled weight de- cay regularization
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Nano-EmoX is a compact 2.2B multimodal model that unifies six core affective tasks across perception, understanding, and interaction levels via a curriculum framework, achieving competitive benchmark performance.
BED-SAM2 enhances the SAM2 vision model by integrating monocular geometric priors to improve boundary delineation in object segmentation tasks.
citing papers explorer
-
Inconsistency-aware Multimodal Schr\"odinger Bridge for Deepfake Localization
IaMSB applies a Schrödinger Bridge in two stages to estimate cross-modal consistency and localize deepfake intervals, reporting 3-10% gains in AP@0.95 especially on single-sided forgeries.
-
Nano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy
Nano-EmoX is a compact 2.2B multimodal model that unifies six core affective tasks across perception, understanding, and interaction levels via a curriculum framework, achieving competitive benchmark performance.
-
BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors
BED-SAM2 enhances the SAM2 vision model by integrating monocular geometric priors to improve boundary delineation in object segmentation tasks.