Visualization of features having filter from first to final layer |
[27] |
Visualize activations in first convolutional layer |
[25] |
Saliency map visualization |
[55] |
Classification and localization of diseases by bounding boxes |
[68] |
Heat maps were used to identify the spots of the disease |
[70] |
Feature map for the diseased rice plant |
[78] |
Symptoms visualization method |
[72] |
Feature and spatial core maps |
[73] |
Color space into HSV and K-means clustering |
[74] |
Feature map for spotting the diseases |
[77] |
Image segmentation method |
[66] |
Reconstruction of images on discriminant regions, segmentation of images by binary threshold theorem, and heat map construction |
[67] |
Saliency map visualization |
[84] |
Saliency map, 2D and 3D contour, mesh graph image |
[82] |
Activation visualization |
[85] |
Segmentation map and edge map |
[65] |