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Found 6 papers, 1 papers with code
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
The first pathway of the relation module, the actor-centric path, initially captures the temporal dynamics of individual actors and then constructs inter-actor relationships.
Modality Mixer Exploiting Complementary Information for Multi-modal Action Recognition
CFEM incorporates sepearte learnable query embeddings for each modality, which guide CFEM to extract complementary information and global action content from the other modalities.
Audio-Visual Glance Network for Efficient Video Recognition
To address this issue, we propose Audio-Visual Glance Network (AVGN), which leverages the commonly available audio and visual modalities to efficiently process the spatio-temporally important parts of a video.
Towards Good Practices for Missing Modality Robust Action Recognition
We ask: how can we train a model that is robust to missing modalities?
Modality Mixer for Multi-modal Action Recognition
In multi-modal action recognition, it is important to consider not only the complementary nature of different modalities but also global action content.
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning
We explore a different direction where we propose to improve real image denoising performance through a better learning strategy that can enable test-time adaptation on the multi-task network.
