Research Article

SAL-Net: Self-Supervised Attribute Learning for Object Recognition and Segmentation

Table 2

Comparison with state-of-the-art fine-grained recognition methods on CUB-2011. Extra annotations are provided during the training phase, including attribute (Att), bounding box (BBox), and part location (Part).

MethodsAnnotationsAcc (%)
AttBBoxPart

ResNet50 [14]82.0
Bilinear-CNN [53]84.1
AutoBD [54]81.6
SAL-Net (ours)84.6
Liu et al. [51]82.5
VTRL [52]86.3
CAP-Net [55]82.5
A3M [4]86.2
PBC [56]83.7
BBPL [57]87.6
Liu et al. [51]85.5