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The article introduces a new deep learning architecture called ViT-FRCNN that combines the strengths of Vision Transformers and Faster R-CNN for object detection. The proposed model achieves state-of-the-art performance on several benchmark datasets, demonstrating the potential of hybrid approaches for advancing computer vision tasks.