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Describe the ensembling strategy used with the ResNet-101 Faster R-CNN system, and state the benchmark performance results and placement achieved by this ensemble on MS COCO test-dev.
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Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Ch.4 Residual Network Experiments and Applications - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Object Detection and Localization using Residual Networks - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
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Describe the ensembling strategy used with the ResNet-101 Faster R-CNN system, and state the benchmark performance results and placement achieved by this ensemble on MS COCO test-dev.