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Found 4 papers, 2 papers with code
ReconBoost: Boosting Can Achieve Modality Reconcilement
This paper explores a novel multi-modal alternating learning paradigm pursuing a reconciliation between the exploitation of uni-modal features and the exploration of cross-modal interactions.
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection
However, there is still room for improvement in video HOI detection performance.
Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition
With the effective spatio-temporal relationship modeling, it is possible not only to uncover contextual information in each frame but also to directly capture inter-time dependencies.
A Systematic Collection of Medical Image Datasets for Deep Learning
Thus, as comprehensive as possible, this paper provides a collection of medical image datasets with their associated challenges for deep learning research.
