Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment | Paper Citation Record

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: Bird collisions at wind turbines in a mountainous area related to bird movement intensities measured by radar,Biol

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment T., Batalha, H., Rodrigues, S

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: Mitigating wind-turbine induced avian mortality: Sensory, aerodynamic and cognitive constraints and options,Renew

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment Unresolved cited work

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment Distilling the Knowledge in a Neural Network

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: DINOv2: Learning robust visual features without supervision,Trans

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This paper cites and Takada, R.: Differences in flight behavior between White-tailed Eagles and Steller’s Sea Eagles,Bird Research, Vol.

Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment and Takada, R.: Differences in flight behavior between White-tailed Eagles and Steller’s Sea Eagles,Bird Research, Vol

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment DINOv3

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment Unresolved cited work

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: Training data-efficient image transformers & distil- lation through attention,Proc

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment and Belongie, S.: The Caltech-UCSD Birds-200- 2011 dataset, Technical Report CNS-TR-2011-001, California Institute of Technology (2011)

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: The iNaturalist species classification and detection dataset,Proc

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: MobileNetV4 – Universal models for the mobile ecosystem,Proc

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: An image is worth 16x16 words: Transformers for image recognition at scale,Proc

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment and Le, Q.: EfficientNet: Rethinking model scaling for convolutional neural networks, Proc

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment Unresolved cited work

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: Quantization and training of neural networks for efficient integer-arithmetic-only inference,Proc

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment A Survey of Quantization Methods for Efficient Neural Network Inference

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment and Sun, G.: Squeeze-and-Excitation networks,Proc

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment Unresolved cited work

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment and Naemura, T.: Construction of a bird image dataset for ecological investigations,Proc

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment and Naemura, T.: Bird detection and species clas- sification with time-lapse images around a wind farm: Dataset construction and evaluation, Wind Energy, Vol

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment gbif.org/(accessed 2026-05-04)

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: PyTorch distributed: experiences on accelerating data parallel training,Proc

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment et al.: ONNX: Open Neural Network Exchange (online), available athttps://github.com/onnx/onnx(accessed 2026-05-05)

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment nvidia.com/en-us/data-center/h200/(accessed 2026-07-10)

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment Unresolved cited work

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Lightweight Image Classification of Raptor Species for Edge Devices: Rare-Species Dataset Expansion via Video Frame Extraction, Knowledge Distillation, and TensorRT Deployment Unresolved cited work

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