Research map / Label-efficient and robust learning / Recognition and long-tail
Towards Robust Uncertainty Calibration for Composed Image Retrieval
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Studies uncertainty calibration for composed image retrieval so that matching between a reference image plus modification text and target images is more reliable.
Problem
Prior composed image retrieval methods, despite contrastive learning over bi-modal queries, often fail to ensure reliable matching between the query and target images.
Approach
Frames composed image retrieval matching reliability as an uncertainty calibration problem; the abstract is truncated so the specific mechanism is not stated.
Limitations
- Abstract is truncated; full method and results are not available
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