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.
Faster diffusion action segmentation
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
B-ACT improves label efficiency in temporal action segmentation by selecting only boundary frames for annotation via a two-stage uncertainty-driven process that fuses neighborhood uncertainty, class ambiguity, and temporal dynamics.
citing papers explorer
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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.
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Boundary-Centric Active Learning for Temporal Action Segmentation
B-ACT improves label efficiency in temporal action segmentation by selecting only boundary frames for annotation via a two-stage uncertainty-driven process that fuses neighborhood uncertainty, class ambiguity, and temporal dynamics.