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Found 5 papers, 2 papers with code
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs
As a result, Detect2Interact achieves consistent qualitative results on object key field detection across extensive test cases and outperforms the existing VQA system with object detection by providing a more reasonable and finer visual representation.
Overview of Human Activity Recognition Using Sensor Data
Human activity recognition (HAR) is an essential research field that has been used in different applications including home and workplace automation, security and surveillance as well as healthcare.
Error Controlled Actor-Critic
On error of value function inevitably causes an overestimation phenomenon and has a negative impact on the convergence of the algorithms.
Error Controlled Actor-Critic Method to Reinforcement Learning
In the reinforcement learning (RL) algorithms which incorporate function approximation methods, the approximation error of value function inevitably cause overestimation phenomenon and have a negative impact on the convergence of the algorithms.
Decoder Choice Network for Meta-Learning
This work proposes a method that controls the gradient descent process of the model parameters of a neural network by limiting the model parameters in a low-dimensional latent space.
