SemLT3D introduces semantic-guided expert distillation with a language MoE module and CLIP projection to enrich features for long-tailed classes in camera-only 3D detection.
Class-balanced loss based on effective number of samples
2 Pith papers cite this work. Polarity classification is still indexing.
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TaxoNet uses a dual-margin objective to reshape decision boundaries in long-tailed fine-grained plant taxonomy, improving rare-class geometry under open-world conditions.
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SemLT3D: Semantic-Guided Expert Distillation for Camera-only Long-Tailed 3D Object Detection
SemLT3D introduces semantic-guided expert distillation with a language MoE module and CLIP projection to enrich features for long-tailed classes in camera-only 3D detection.
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Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy
TaxoNet uses a dual-margin objective to reshape decision boundaries in long-tailed fine-grained plant taxonomy, improving rare-class geometry under open-world conditions.