Few-Shot Object Detection: Research Advances and Challenges

no code implementations • 7 Apr 2024 • Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao, Weiping Ding, Xinge You

This paper presents a comprehensive survey to review the significant advancements in the field of FSOD in recent years and summarize the existing challenges and solutions.

Few-Shot Learning Few-Shot Object Detection +2

ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection

no code implementations • 15 Sep 2023 • Zhimeng Xin, Tianxu Wu, Shiming Chen, Yixiong Zou, Ling Shao, Xinge You

Extensive experiments on the PASCAL VOC and COCO datasets show that our ECEA module can assist the few-shot detector to completely predict the object despite some regions failing to appear in the training samples and achieve the new state of the art compared with existing FSOD methods.

Few-Shot Object Detection Object +1

Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions

no code implementations • 15 Sep 2023 • Tianxu Wu, Shuo Ye, Shuhuang Chen, Qinmu Peng, Xinge You

To address this issue, we propose a novel approach termed the detail reinforcement diffusion model~(DRDM), which leverages the rich knowledge of large models for fine-grained data augmentation and comprises two key components including discriminative semantic recombination (DSR) and spatial knowledge reference~(SKR).

Data Augmentation Fine-Grained Visual Categorization +1