FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
We present a descriptor, called fully convolutional self-similarity (FCSS), for dense semantic correspondence. To robustly match points among different instances within the same object class, we formulate FCSS using local self-similarity (LSS) within a fully convolutional network. In contrast to existing CNN-based descriptors, FCSS is inherently insensitive to intra-class appearance …