Research map / Label-efficient and robust learning / Recognition and long-tail
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Cross-Entropy instead of Focal loss (ablation) | BIOSCAN image-classification baseline · BIOSCAN-Order and BIOSCAN-Diptera validation | micro top-1 accuracy: 99.58$\pm$0.21 -> 99.62$\pm$0.06 | Helped |
| Use ViT-B/16 instead of ResNet-50 (ablation) | BIOSCAN image-classification baseline · BIOSCAN-Order and BIOSCAN-Diptera validation | macro top-1 accuracy: 86.26$\pm$0.30 -> 87.36$\pm$1.20 | Mixed |
| Crop images before classification (ablation) | ResNet-50 preliminary experiments · BIOSCAN insect images | classification performance | Helped |
| Use more training data, moving from Small to Large | ViT-B/16 + Cross-Entropy baseline · BIOSCAN-Order test | micro top-1 accuracy: 97.86 -> 99.69 | Helped |
Closest papers by meaning
- BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity (NeurIPS 2024 · similarity 0.96)
- Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring (NeurIPS 2025 · similarity 0.91)
- Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding (CVPR 2024 · similarity 0.89)
- CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale (ICLR 2025 · similarity 0.88)
- BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity (NeurIPS 2024 · similarity 0.87)
- BioCLIP: A Vision Foundation Model for the Tree of Life (CVPR 2024 · similarity 0.84)
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