Search Results for author:
Found 5 papers, 0 papers with code
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
In the first branch, a Domain Temporal Encoder is employed to capture temporal features for both the source and target domains.
Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-$\mathrm{M^2}$DF)
In each view, we fuse the prompt embedding as consistent information with visual and the global or local temporal context to overcome the overlapping distribution of classes and outliers.
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CP$\mathbf{M^2}$C)
Although some multi-modal works use labels as supplementary to construct prototypes of support videos, they can not use this information for query videos.
The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 2023
This paper introduces our system designed for Track 2, which focuses on locating manipulated regions, in the second Audio Deepfake Detection Challenge (ADD 2023).
The DKU-OPPO System for the 2022 Spoofing-Aware Speaker Verification Challenge
For CM systems, we propose two methods on top of the challenge baseline to further improve the performance, namely Embedding Random Sampling Augmentation (ERSA) and One-Class Confusion Loss(OCCL).
