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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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1 result for “CIDEr-D”

B-SCST: Bayesian Self-Critical Sequence Training for Image Captioningcs.LG

Bayesian approach improves image captioning quality metrics.

problem Improving image captioning quality metrics.

method Bayesian Self-Critical Sequence Training (B-SCST) with Monte Carlo dropout approximate variational inference.

result B-SCST improves CIDEr-D scores on various image captioning datasets.

image captioning Bayesian deep learning Monte Carlo dropout CIDEr-D reinforcement learning

2020-04-06abs ↗pdf ↗