Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification

2 code implementations • CVPR 2023 • Youngwook Kim, Jae Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee

Based on these findings, we propose to boost the attribution scores of the model trained with partial labels to make its explanation resemble that of the model trained with full labels.

Classification Multi-Label Classification