Layout-based causal inference for object navigation
Previous works for ObjectNav task attempt to learn the association (eg relation graph)
between the visual inputs and the goal during training. Such association contains the prior …
between the visual inputs and the goal during training. Such association contains the prior …
Learning Attribute Attention and Retrospect Location for Instance Object Navigation
Visual object navigation, a classical problem in embodied intelligence tasks, requires agents
to find a specified target using only the first-person view of visual information. A number of …
to find a specified target using only the first-person view of visual information. A number of …
DGMem: learning visual navigation policy without any labels by dynamic graph memory
In recent years, learning-based approaches have demonstrated significant promise in
addressing intricate navigation tasks. Traditional methods for training deep neural network …
addressing intricate navigation tasks. Traditional methods for training deep neural network …
IG-Net: Image-Goal Network for Offline Visual Navigation on A Large-Scale Game Map
Navigating vast and visually intricate gaming environments poses unique challenges,
especially when agents are deprived of absolute positions and orientations during testing …
especially when agents are deprived of absolute positions and orientations during testing …
[PDF][PDF] IG-Net: Image-Goal Network for Offline Visual Navigation on A Large-Scale Game Map
Navigating vast and visually intricate gaming environments poses unique challenges,
especially when agents are deprived of absolute positions and orientations during testing …
especially when agents are deprived of absolute positions and orientations during testing …