DeepAI AI Chat
Log In Sign Up

EOLO: Embedded Object Segmentation only Look Once

by   Longfei Zeng, et al.
Lakehead University

In this paper, we introduce an anchor-free and single-shot instance segmentation method, which is conceptually simple with 3 independent branches, fully convolutional and can be used by easily embedding it into mobile and embedded devices. Our method, refer as EOLO, reformulates the instance segmentation problem as predicting semantic segmentation and distinguishing overlapping objects problem, through instance center classification and 4D distance regression on each pixel. Moreover, we propose one effective loss function to deal with sampling a high-quality center of gravity examples and optimization for 4D distance regression, which can significantly improve the mAP performance. Without any bells and whistles, EOLO achieves 27.7% in mask mAP under IoU50 and reaches 30 FPS on 1080Ti GPU, with a single-model and single-scale training/testing on the challenging COCO2017 dataset. For the first time, we show the different comprehension of instance segmentation in recent methods, in terms of both up-bottom, down-up, and direct-predict paradigms. Then we illustrate our model and present related experiments and results. We hope that the proposed EOLO framework can serve as a fundamental baseline for a single-shot instance segmentation task in Real-time Industrial Scenarios.


page 1

page 3

page 4

page 5

page 6


PolarMask: Single Shot Instance Segmentation with Polar Representation

In this paper, we introduce an anchor-box free and single shot instance ...

DeeperLab: Single-Shot Image Parser

We present a single-shot, bottom-up approach for whole image parsing. Wh...

PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond

Reducing the complexity of the pipeline of instance segmentation is cruc...

Fast Single-shot Ship Instance Segmentation Based on Polar Template Mask in Remote Sensing Images

Object detection and instance segmentation in remote sensing images is a...

Single-shot Path Integrated Panoptic Segmentation

Panoptic segmentation, which is a novel task of unifying instance segmen...

YOLACT: Real-time Instance Segmentation

We present a simple, fully-convolutional model for real-time instance se...

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast ...