Adapting Pre-Trained Vision Models for Novel Instance Detection and
Segmentation
Adapting Pre-Trained Vision Models for Novel Instance Detection and
Segmentation
Novel Instance Detection and Segmentation (NIDS) aims at detecting and segmenting novel object instances given a few examples of each instance. We propose a unified framework (NIDS-Net) comprising object proposal generation, embedding creation for both instance templates and proposal regions, and embedding matching for instance label assignment. Leveraging recent advancements …