Ideas to improve the training accuracy

I am trying to fine-tune the model with UCF-101 dataset.
with the SGD optimizer and lr decay, I can get almost 91.79% accuracy after 6000 steps with BS: 32.
```
global_step = tf.Variable(0, trainable=False)
learning_rate = tf.compat.v1.train.exponential_decay(3, global_step, 100, 0.96)
optimizer = tf.compat.v1.train.GradientDescentOptimizer(learning_rate).minimize(loss, global_step=global_step)
```
From the paper, I see the accuracy could be 94.x%, any ideas to improve my accuracy?