ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.06148
  4. Cited By
PointINS: Point-based Instance Segmentation

PointINS: Point-based Instance Segmentation

13 March 2020
Lu Qi
Xinming Zhang
Yukang Chen
Ying-Cong Chen
Xiangyu Zhang
Jian Sun
Jiaya Jia
    ISeg
    3DPC
ArXivPDFHTML

Papers citing "PointINS: Point-based Instance Segmentation"

28 / 28 papers shown
Title
High Quality Segmentation for Ultra High-resolution Images
High Quality Segmentation for Ultra High-resolution Images
Tiancheng Shen
Yuechen Zhang
Lu Qi
Jason Kuen
Xingyu Xie
Jianlong Wu
Zhe Lin
Jiaya Jia
111
42
0
29 Nov 2021
Mask Encoding for Single Shot Instance Segmentation
Mask Encoding for Single Shot Instance Segmentation
Rufeng Zhang
Zhi Tian
Chunhua Shen
Mingyu You
Youliang Yan
ISeg
31
100
0
26 Mar 2020
CenterMask : Real-Time Anchor-Free Instance Segmentation
CenterMask : Real-Time Anchor-Free Instance Segmentation
Youngwan Lee
Jongyoul Park
3DPC
ISeg
45
543
0
15 Nov 2019
PolarMask: Single Shot Instance Segmentation with Polar Representation
PolarMask: Single Shot Instance Segmentation with Polar Representation
Enze Xie
Pei Sun
Xiaoge Song
Wenhai Wang
Ding Liang
Chunhua Shen
Ping Luo
ISeg
39
539
0
29 Sep 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
86
4,969
0
02 Apr 2019
TensorMask: A Foundation for Dense Object Segmentation
TensorMask: A Foundation for Dense Object Segmentation
Xinlei Chen
Ross B. Girshick
Kaiming He
Piotr Dollár
ISeg
42
320
0
28 Mar 2019
Hybrid Task Cascade for Instance Segmentation
Hybrid Task Cascade for Instance Segmentation
Kai-xiang Chen
Jiangmiao Pang
Jiaqi Wang
Yu Xiong
Xiaoxiao Li
...
Ziwei Liu
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
ISeg
98
1,295
0
22 Jan 2019
UPSNet: A Unified Panoptic Segmentation Network
UPSNet: A Unified Panoptic Segmentation Network
Yuwen Xiong
Renjie Liao
Hengshuang Zhao
Rui Hu
Min Bai
Ersin Yumer
R. Urtasun
SSeg
47
429
0
12 Jan 2019
RetinaMask: Learning to predict masks improves state-of-the-art
  single-shot detection for free
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
Cheng-Yang Fu
Mykhailo Shvets
Alexander C. Berg
ObjD
51
137
0
10 Jan 2019
Panoptic Feature Pyramid Networks
Panoptic Feature Pyramid Networks
Alexander Kirillov
Ross B. Girshick
Kaiming He
Piotr Dollár
ISeg
SSeg
80
1,278
0
08 Jan 2019
Scale-Aware Trident Networks for Object Detection
Scale-Aware Trident Networks for Object Detection
Yanghao Li
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
ObjD
68
880
0
07 Jan 2019
Attention-guided Unified Network for Panoptic Segmentation
Attention-guided Unified Network for Panoptic Segmentation
Yanwei Li
Xinze Chen
Zheng Zhu
Lingxi Xie
Guan Huang
Dalong Du
Xingang Wang
36
279
0
10 Dec 2018
AutoFocus: Efficient Multi-Scale Inference
AutoFocus: Efficient Multi-Scale Inference
Mahyar Najibi
Bharat Singh
L. Davis
ObjD
41
127
0
04 Dec 2018
Deformable ConvNets v2: More Deformable, Better Results
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
ObjD
75
1,998
0
27 Nov 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection
Bounding Box Regression with Uncertainty for Accurate Object Detection
Yihui He
Chenchen Zhu
Jianren Wang
Marios Savvides
Xinming Zhang
ObjD
65
466
0
23 Sep 2018
MetaAnchor: Learning to Detect Objects with Customized Anchors
MetaAnchor: Learning to Detect Objects with Customized Anchors
Tong Yang
Xiangyu Zhang
Zeming Li
Wenqiang Zhang
Jian Sun
ObjD
47
136
0
03 Jul 2018
An Analysis of Scale Invariance in Object Detection - SNIP
An Analysis of Scale Invariance in Object Detection - SNIP
Bharat Singh
L. Davis
ObjD
69
738
0
22 Nov 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
254
11,941
0
04 Dec 2016
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform for Instance Segmentation
Min Bai
R. Urtasun
ISeg
SSeg
95
520
0
24 Nov 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISeg
SSeg
63
1,004
0
23 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
405
10,281
0
16 Nov 2016
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object
  Detection
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Zhaowei Cai
Quanfu Fan
Rogerio Feris
Nuno Vasconcelos
ObjD
52
1,491
0
25 Jul 2016
Learning to learn by gradient descent by gradient descent
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
65
2,000
0
14 Jun 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
71
5,627
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
510
11,540
0
06 Apr 2016
G-CNN: an Iterative Grid Based Object Detector
G-CNN: an Iterative Grid Based Object Detector
Mahyar Najibi
Mohammad Rastegari
L. Davis
ObjD
29
191
0
24 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
52
1,206
0
14 Dec 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
97
1,165
0
24 Nov 2015
1