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Found 5 papers, 3 papers with code
Action Segmentation with Mixed Temporal Domain Adaptation
The main progress for action segmentation comes from densely-annotated data for fully-supervised learning.
Ranked #18 on
Action Segmentation
on Breakfast
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation
Despite the recent progress of fully-supervised action segmentation techniques, the performance is still not fully satisfactory.
Ranked #13 on
Action Segmentation
on GTEA
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
In order to overcome these challenges, we propose to use cross-modality attention with semantic graph embedding for multi label classification.
Ranked #8 on
Multi-Label Classification
on NUS-WIDE
Recognizing Part Attributes with Insufficient Data
Although great progress has been made to apply object-level recognition, recognizing the attributes of parts remains less applicable since the training data for part attributes recognition is usually scarce especially for internet-scale applications.
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM
However, jointly using visual and inertial measurements to optimize SLAM objective functions is a problem of high computational complexity.
