Paper

Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection

A critical challenge problem of scene change detection is that noisy changes generated by varying illumination, shadows and camera viewpoint make variances of a scene difficult to define and measure since the noisy changes and semantic ones are entangled. Following the intuitive idea of detecting changes by directly comparing dissimilarities between a pair of features, we propose a novel fully Convolutional siamese metric Network(CosimNet) to measure changes by customizing implicit metrics... (read more)

Results in Papers With Code
(↓ scroll down to see all results)