  Real-time image captioning, along with adequate precision, is the main
challenge of this research field. The present work, Multiple Transformers for
Self-Attention Mechanism (MTSM), utilizes multiple transformers to address
these problems. The proposed algorithm, MTSM, acquires region proposals using a
transformer detector (DETR). Consequently, MTSM achieves the self-attention
mechanism by transferring these region proposals and their visual and
geometrical features through another transformer and learns the objects' local
and global interconnections. The qualitative and quantitative results of the
proposed algorithm, MTSM, are shown on the MSCOCO dataset.
