MolRecBench-Wild reveals that 18 existing OCSR models suffer severe performance drops on complex real-world academic molecular images compared with prior patent benchmarks.
Ocsu: Optical chemical structure understanding for molecule-centric scientific discovery
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COMO applies minimum risk training in a closed-loop setup to optimize optical chemical structure recognition models directly on molecule-level objectives like validity and similarity, outperforming prior methods on ten benchmarks.
citing papers explorer
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MolRecBench-Wild: A Real-World Benchmark for Optical Chemical Structure Recognition
MolRecBench-Wild reveals that 18 existing OCSR models suffer severe performance drops on complex real-world academic molecular images compared with prior patent benchmarks.
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COMO: Closed-Loop Optical Molecule Recognition with Minimum Risk Training
COMO applies minimum risk training in a closed-loop setup to optimize optical chemical structure recognition models directly on molecule-level objectives like validity and similarity, outperforming prior methods on ten benchmarks.