Learning Non-target Knowledge for Few-shot Semantic Segmentation. (arXiv:2205.04903v1 [cs.CV])

Existing studies in few-shot semantic segmentation only focus on mining the
target object information, however, often are hard to tell ambiguous regions,
especially in non-target regions, which include background (BG) and Distracting
Objects (DOs). To alleviate this problem, we propose a novel framework, namely
Non-Target Region Eliminating (NTRE) network, to explicitly mine and eliminate
BG and DO regions in the query. First, a BG Mining Module (BGMM) is proposed to
extract the BG region via learning a general BG prototype. …

arxiv cv knowledge learning segmentation semantic