For the convenience of description, we use Ft1l, Ft2l∈RCl×Wl×Hl to represent the features respectively for images t1 and t2 extracted by ACLA block at the l-th FEN stage. As HR images have low interclass var
A test–retest showed that the Yo-Yo intermittent endurance Level 2 (IE2) test with dribbling (intraclass correlation coefficient = 0.92; coefficient of variation = 12.6%; d = 0.24) and without dribbling (intraclass correlation coefficient = 0.83; coefficient of variation = 15.0%; d = 0.37) ...
Through adjusting the eigenvalues of intraclass and interclass covariance matrices according to the discriminant information of training samples, Liong et al. [26] proposed a new discriminant regularization metric learning method to minimize the estimated distance metric deviation. For the feature selection...
AID is a challenging dataset due to the higher intraclass variations and smaller interclass dissimilarity. The pixel resolution in AID changes from about 8 m to about half a meter, and the size of each image in AID is fixed to be 600×600600×600. Figure 4. Images samples from NWPU-RESIS...
The high interclass similarity and low intraclass similarity further exacerbate difficulties in distinguishing objects with similar color and geographic location. To address this concern, we introduce a self-cascading multiscale network (ScasMNet) based on a fully convolutional network, aimed at enhancing...
Furthermore, with the addition of detailed information, the model has better resistance to the interclass similarity and intraclass diversity of objects. Impact of the DHead: To verify the effect of decoupling the two tasks of classification and localization, we conduct comparison experiments of ...