Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

07/18/2020
by   Jiaxi Wu, et al.
0

Few-shot object detection (FSOD) helps detectors adapt to unseen classes with few training instances, and is useful when manual annotation is time-consuming or data acquisition is limited. Unlike previous attempts that exploit few-shot classification techniques to facilitate FSOD, this work highlights the necessity of handling the problem of scale variations, which is challenging due to the unique sample distribution. To this end, we propose a Multi-scale Positive Sample Refinement (MPSR) approach to enrich object scales in FSOD. It generates multi-scale positive samples as object pyramids and refines the prediction at various scales. We demonstrate its advantage by integrating it as an auxiliary branch to the popular architecture of Faster R-CNN with FPN, delivering a strong FSOD solution. Several experiments are conducted on PASCAL VOC and MS COCO, and the proposed approach achieves state of the art results and significantly outperforms other counterparts, which shows its effectiveness. Code is available at https://github.com/jiaxi-wu/MPSR.

READ FULL TEXT

page 6

page 7

page 9

research
04/02/2018

Multi-scale Location-aware Kernel Representation for Object Detection

Although Faster R-CNN and its variants have shown promising performance ...
research
12/28/2016

FastMask: Segment Multi-scale Object Candidates in One Shot

Objects appear to scale differently in natural images. This fact require...
research
08/10/2023

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection

We aim at providing the object detection community with an efficient and...
research
10/22/2020

Restoring Negative Information in Few-Shot Object Detection

Few-shot learning has recently emerged as a new challenge in the deep le...
research
03/23/2022

Efficient Few-Shot Object Detection via Knowledge Inheritance

Few-shot object detection (FSOD), which aims at learning a generic detec...
research
12/08/2017

Weaving Multi-scale Context for Single Shot Detector

Aggregating context information from multiple scales has been proved to ...
research
03/17/2021

You Only Look One-level Feature

This paper revisits feature pyramids networks (FPN) for one-stage detect...

Please sign up or login with your details

Forgot password? Click here to reset