Introduces the INTSD nighttime traffic sign dataset from India and LENS-Net baseline that performs adaptive illumination-aware detection plus multimodal classification.
Traffic-sign detection and classifica- tion in the wild
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2representative citing papers
SignReasoner decomposes traffic signs into functional structure units and uses a two-stage VLM post-training pipeline to achieve state-of-the-art compositional reasoning on a new benchmark.
citing papers explorer
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Learning Under Low Illumination: A Dataset and Algorithm for Traffic Sign Recognition
Introduces the INTSD nighttime traffic sign dataset from India and LENS-Net baseline that performs adaptive illumination-aware detection plus multimodal classification.
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SignReasoner: Compositional Reasoning for Complex Traffic Sign Understanding via Functional Structure Units
SignReasoner decomposes traffic signs into functional structure units and uses a two-stage VLM post-training pipeline to achieve state-of-the-art compositional reasoning on a new benchmark.