Collaboration of Pre-trained Models Makes Better Few-shot Learner

no code implementations • 25 Sep 2022 • Renrui Zhang, Hanqiu Deng, Bohao Li, Wei zhang, Hao Dong, Hongsheng Li, Peng Gao, Yu Qiao

In this paper, we propose CoMo, a Collaboration of pre-trained Models that incorporates diverse prior knowledge from various pre-training paradigms for better few-shot learning.

Few-Shot Learning Representation Learning

Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection

2 code implementations • CVPR 2021 • Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye

Few-shot object detection has made substantial progressby representing novel class objects using the feature representation learned upon a set of base class objects.

Few-Shot Object Detection object-detection

Prototype Mixture Models for Few-shot Semantic Segmentation

1 code implementation • ECCV 2020 • Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye

Few-shot segmentation is challenging because objects within the support and query images could significantly differ in appearance and pose.

Few-Shot Semantic Segmentation Semantic Segmentation

Method of diagnosing heart disease based on deep learning ECG signal

no code implementations • 25 Jun 2019 • Jie Zhang, Bohao Li, Kexin Xiang, Xuegang Shi

Some have tried to combine expertise and signal processing to classify ECG signal by heart disease type.