Abstract: Highlights•A unified network for image-text matching and classification.•Seamlessly incorporating the matching and classification components.•A multi-stage training algorithm by combining the matching and classification loss.•Comprehensive study on the effectiveness of the proposed approach.•Comparisons on four well-known multimodal benchmarks.
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