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Unified Perceptual Parsing for Scene Understanding

Unified Perceptual Parsing for Scene Understanding

26 July 2018
Tete Xiao
Yingcheng Liu
Bolei Zhou
Yuning Jiang
Jian Sun
    OCL
    VOS
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Papers citing "Unified Perceptual Parsing for Scene Understanding"

38 / 88 papers shown
Title
SCHEME: Scalable Channel Mixer for Vision Transformers
SCHEME: Scalable Channel Mixer for Vision Transformers
Deepak Sridhar
Yunsheng Li
Nuno Vasconcelos
81
0
0
01 Dec 2023
Low-Resolution Self-Attention for Semantic Segmentation
Low-Resolution Self-Attention for Semantic Segmentation
Yu-Huan Wu
Shi-Chen Zhang
Yun-Hai Liu
Le Zhang
Xin Zhan
Daquan Zhou
Jiashi Feng
Ming-Ming Cheng
Liangli Zhen
ViT
164
3
0
08 Oct 2023
Lightweight Vision Transformer with Bidirectional Interaction
Lightweight Vision Transformer with Bidirectional Interaction
Qihang Fan
Huaibo Huang
Xiaoqiang Zhou
Ran He
ViT
103
29
0
01 Jun 2023
VDD: Varied Drone Dataset for Semantic Segmentation
VDD: Varied Drone Dataset for Semantic Segmentation
Wenxiao Cai
Ke Jin
Jinyan Hou
Cong Guo
Letian Wu
Wankou Yang
72
11
0
23 May 2023
InceptionNeXt: When Inception Meets ConvNeXt
InceptionNeXt: When Inception Meets ConvNeXt
Weihao Yu
Pan Zhou
Shuicheng Yan
Xinchao Wang
122
132
0
29 Mar 2023
FCN+: Global Receptive Convolution Makes FCN Great Again
FCN+: Global Receptive Convolution Makes FCN Great Again
Zhongying Deng
Xiaoyu Ren
Jin Ye
Junjun He
Dongxu Yang
154
1
0
08 Mar 2023
Semantic Image Synthesis via Diffusion Models
Semantic Image Synthesis via Diffusion Models
Weilun Wang
Weilun Wang
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
315
177
0
30 Jun 2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Jun Chen
Ming Hu
Boyang Albert Li
Mohamed Elhoseiny
107
36
0
01 Jun 2022
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Bichen Wu
Chaojian Li
Hang Zhang
Xiaoliang Dai
Peizhao Zhang
Matthew Yu
Jialiang Wang
Yingyan Lin
Peter Vajda
ViT
97
24
0
19 Nov 2021
Learning to Segment Every Thing
Learning to Segment Every Thing
Ronghang Hu
Piotr Dollár
Kaiming He
Trevor Darrell
Ross B. Girshick
ISeg
VLM
69
296
0
28 Nov 2017
MegDet: A Large Mini-Batch Object Detector
MegDet: A Large Mini-Batch Object Detector
Chao Peng
Tete Xiao
Zeming Li
Yuning Jiang
Xiangyu Zhang
Kai Jia
Gang Yu
Jian Sun
ObjD
177
318
0
20 Nov 2017
Interpreting Deep Visual Representations via Network Dissection
Interpreting Deep Visual Representations via Network Dissection
Bolei Zhou
David Bau
A. Oliva
Antonio Torralba
FAtt
MILM
58
324
0
15 Nov 2017
Network Dissection: Quantifying Interpretability of Deep Visual
  Representations
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILM
FAtt
146
1,513
1
19 Apr 2017
Batch Renormalization: Towards Reducing Minibatch Dependence in
  Batch-Normalized Models
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
BDL
61
540
0
10 Feb 2017
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
Marvin Teichmann
Michael Weber
Johann Marius Zöllner
R. Cipolla
R. Urtasun
SSeg
68
698
0
22 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
451
22,095
0
09 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
655
12,003
0
04 Dec 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
253
2,848
0
20 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
506
10,318
0
16 Nov 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
125
673
0
07 Sep 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
239
18,224
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
733
37,843
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
1.1K
11,606
0
06 Apr 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
247
9,308
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,441
0
23 Nov 2015
Convolutional Models for Joint Object Categorization and Pose Estimation
Convolutional Models for Joint Object Categorization and Pose Estimation
Mohamed Elhoseiny
Tarek El-Gaaly
A. Bakry
Ahmed Elgammal
38
12
0
16 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,795
0
02 Nov 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
229
4,173
0
17 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
450
43,277
0
11 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
173
4,892
0
22 Dec 2014
Object Detectors Emerge in Deep Scene CNNs
Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
ObjD
135
1,283
0
22 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
205
2,679
0
18 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
442
43,635
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
Detect What You Can: Detecting and Representing Objects using Holistic
  Models and Body Parts
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
Xianjie Chen
Roozbeh Mottaghi
Xiaobai Liu
Sanja Fidler
R. Urtasun
Alan Yuille
96
640
0
08 Jun 2014
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
116
2,669
0
14 Nov 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
587
15,874
0
12 Nov 2013
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