HyMOR combines MLLM for coarse open-ended recognition with CLIP for fine-grained domain objects, achieving near-CLIP fine performance and 2.5% better general recognition plus 23.2% overall SBert gain on a new TBO textbook dataset.
Exploiting spatial relation for fine-grained image classification.Pattern Recognition, 91:47–55, 2019
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Bridging Coarse and Fine Recognition: A Hybrid Approach for Open-Ended Multi-Granularity Object Recognition in Interactive Educational Games
HyMOR combines MLLM for coarse open-ended recognition with CLIP for fine-grained domain objects, achieving near-CLIP fine performance and 2.5% better general recognition plus 23.2% overall SBert gain on a new TBO textbook dataset.