| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T262 |
0-128 |
Sentence |
denotes |
The CNNRF is a modular framework consisting of one stage II sub-framework and one regressor block to handle the regression task. |
| T263 |
129-400 |
Sentence |
denotes |
In the regressor block, we used skip connections that consisted of a convolution layer with multiple 1 × 1 convolution kernels for retaining the features extracted by the stage II sub-framework while improving the non-linear representation ability of the regressor block. |
| T264 |
401-600 |
Sentence |
denotes |
We made use of flexible blocks to achieve good performance for the classification and regression tasks, unlike traditional machine learning methods, which are commonly used for either of these tasks. |
