DeepAI AI Chat
Log In Sign Up

Path Aggregation Network for Instance Segmentation

03/05/2018
by   Shu Liu, et al.
SenseTime Corporation
The Chinese University of Hong Kong
0

The way that information propagates in neural networks is of great importance. In this paper, we propose Path Aggregation Network (PANet) aiming at boosting information flow in proposal-based instance segmentation framework. Specifically, we enhance the entire feature hierarchy with accurate localization signals in lower layers by bottom-up path augmentation, which shortens the information path between lower layers and topmost feature. We present adaptive feature pooling, which links feature grid and all feature levels to make useful information in each feature level propagate directly to following proposal subnetworks. A complementary branch capturing different views for each proposal is created to further improve mask prediction. These improvements are simple to implement, with subtle extra computational overhead. Our PANet reaches the 1st place in the COCO 2017 Challenge Instance Segmentation task and the 2nd place in Object Detection task without large-batch training. It is also state-of-the-art on MVD and Cityscapes.

READ FULL TEXT
03/30/2020

3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation

We present 3D-MPA, a method for instance segmentation on 3D point clouds...
10/06/2020

Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track

In this report, we present our object detection/instance segmentation sy...
06/07/2021

supervised adptive threshold network for instance segmentation

Currently, instance segmentation is attracting more and more attention i...
08/02/2020

Mask Point R-CNN

The attributes of object contours has great significance for instance se...
10/21/2020

2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020

Compared with MS-COCO, the dataset for the competition has a larger prop...
12/03/2020

Single-shot Path Integrated Panoptic Segmentation

Panoptic segmentation, which is a novel task of unifying instance segmen...
12/07/2020

CARAFE++: Unified Content-Aware ReAssembly of FEatures

Feature reassembly, i.e. feature downsampling and upsampling, is a key o...