Detecting Shadows
2 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Direction-aware Spatial Context Features for Shadow Detection
To achieve this, we first formulate the direction-aware attention mechanism in a spatial recurrent neural network (RNN) by introducing attention weights when aggregating spatial context features in the RNN.
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
lmhieu612/adnet_demo
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ECCV 2018
The A-Net modifies the original training images constrained by a simplified physical shadow model and is focused on fooling the D-Net's shadow predictions.
