Search Results for author:
Found 4 papers, 1 papers with code
Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation
To this end, an agent needs to 1) learn a piece of certain knowledge about the relations of object categories in the world during training and 2) look for the target object based on the pre-learned object category relations and its moving trajectory in the current unseen environment.
A Reliable Representation with Bidirectional Transition Model for Visual Reinforcement Learning Generalization
Visual reinforcement learning has proven effective in solving control tasks with high-dimensional observations.
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
During industrial processing, unforeseen defects may arise in products due to uncontrollable factors.
Ranked #5 on
Anomaly Detection
on BTAD
(using extra training data)
