Table 1: confusion matrix
TP: Positive samples predicted as positive by the model.
FP: Negative samples predicted as positive by the model.
FN: Positive samples predicted as negative by the model.
TN: Negative samples predicted as negative by the model.
Table 2: The accuracy of this algorithm and other algorithms on the MIT Indoor67 and SUN397 datasets
Table 3: Comparison of the combined effect of attention and Context Gating
Figure 1: Attention mechanism
Figure 2: Network Structure
Figure 3: Feature Conversion
Figure 4: Examples of some scenarios in the MIT Indoor67 dataset
Tables at a glance
Figures at a glance