Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector

no code implementations • 5 Feb 2024 • Yuqian Fu, Yu Wang, Yixuan Pan, Lian Huai, Xingyu Qiu, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc van Gool, Xingqun Jiang

This paper studies the challenging cross-domain few-shot object detection (CD-FSOD), aiming to develop an accurate object detector for novel domains with minimal labeled examples.

Cross-Domain Few-Shot Few-Shot Object Detection +3

Decoupled DETR For Few-shot Object Detection

no code implementations • 20 Nov 2023 • Zeyu Shangguan, Lian Huai, Tong Liu, Xingqun Jiang

We also explore various types of skip connection between the encoder and decoder for DETR.

Few-Shot Object Detection Meta-Learning +2

Few-shot Object Detection with Refined Contrastive Learning

no code implementations • 24 Nov 2022 • Zeyu Shangguan, Lian Huai, Tong Liu, Xingqun Jiang

A pre-determination component is introduced to find out the Resemblance Group from novel classes which contains confusable classes.

Contrastive Learning Few-Shot Object Detection +2