Data-Driven Neuron Allocation for Scale Aggregation Networks

Successful visual recognition networks benefit from aggregating information spanning from a wide range of scales. Previous research has investigated information fusion of connected layers or multiple branches in a block, seeking to strengthen the power of multi-scale representations... (read more)

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Results from the Paper


Ranked #72 on Image Classification on ImageNet (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Image Classification ImageNet ScaleNet-101 Top 1 Accuracy 79.18% # 81
Top 5 Accuracy 94.58% # 54
Image Classification ImageNet ScaleNet-152 Top 1 Accuracy 79.94% # 72
Top 5 Accuracy 94.82% # 48

Methods used in the Paper