most citedUIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 2 cited

UIFormer: A Unified Transformer-based Framework for Incremental Few-Shot Object Detection and Instance Segmentation

Chengyuan Zhang, Yilin Zhang, Lei Zhu +6

This paper introduces a novel framework for unified incremental few-shot object detection (iFSOD) and instance segmentation (iFSIS) using the Transformer architecture. Our goal is…