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Found 5 papers, 1 papers with code
UniRGB-IR: A Unified Framework for Visible-Infrared Downstream Tasks via Adapter Tuning
Semantic analysis on visible (RGB) and infrared (IR) images has gained attention for its ability to be more accurate and robust under low-illumination and complex weather conditions.
Progressive Relation Learning for Group Activity Recognition
Another relation-gating (RG) agent in continuous action space adjusts the high-level semantic graph to pay more attention to group-relevant relations.
Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network
The specific formulation of the Shapley Value we implement respects incrementality by allocating the overall incremental improvement in conversion to the exposed ads, while handling the sequence-dependence of exposures on the observed outcomes.
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention
Benefiting from its succinctness and robustness, skeleton-based action recognition has recently attracted much attention.
Continual Learning of Context-dependent Processing in Neural Networks
Deep neural networks (DNNs) are powerful tools in learning sophisticated but fixed mapping rules between inputs and outputs, thereby limiting their application in more complex and dynamic situations in which the mapping rules are not kept the same but changing according to different contexts.
Ranked #5 on
Continual Learning
on ASC (19 tasks)
