Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence

A semantic matching framework that jointly learns both feature extraction and cost aggregation modules by employing a confidence-aware contrastive loss.

November 23, 2022 · 1 min read

This paper was presented at the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing.

Paper

Framework Overview

joint