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---
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license: apache-2.0
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datasets:
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- detection-datasets/coco
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pipeline_tag: object-detection
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---
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# Introduction |
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This repository stores the model for Faster-RCNN (ResNext50), compatible with Kalray's neural network API. </br> |
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Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br> |
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# Contents |
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- ONNX: retinanet-resnext50-fpn-800.onnx |
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# Lecture note reference |
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- Focal Loss for Dense Object Detection, https://arxiv.org/abs/1708.02002 |
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# Repository or links references |
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- [Link to Download](https://zenodo.org/record/6617879/files/resnext50_32x4d_fpn.onnx) |
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```bibtex |
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Kiswani, A., & Gonzalez, P. (2022). |
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Trained Model for retinanet_resnext50_32x4d_fpn ONNX for MLPerf Inference (MLPerf v2.1 inference). |
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Zenodo. https://doi.org/10.5281/zenodo.6617879 |
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``` |
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Authors: |
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+ qmuller@kalrayinc.com |
