14 results on '"Matthias Körschens"'
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2. Unified Automatic Plant Cover and Phenology Prediction.
3. Determining the community composition of herbaceous species from images using convolutional neural networks.
4. Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization.
5. Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout.
6. Weakly Supervised Segmentation Pretraining for Plant Cover Prediction.
7. Automatic Plant Cover Estimation with Convolutional Neural Networks.
8. Towards Confirmable Automated Plant Cover Determination.
9. ELPephants: A Fine-Grained Dataset for Elephant Re-Identification.
10. Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity.
11. Towards Automatic Identification of Elephants in the Wild.
12. Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes
13. Weakly Supervised Segmentation Pretraining for Plant Cover Prediction
14. ELPephants: A Fine-Grained Dataset for Elephant Re-Identification
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