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Simultaneous Detection and Segmentation

Simultaneous Detection and Segmentation

7 July 2014
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
    ObjD
    ISeg
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Papers citing "Simultaneous Detection and Segmentation"

50 / 479 papers shown
Title
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic
  Segmentation
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
Jiacheng Chen
Bin-Bin Gao
Zongqing Lu
Jing-Hao Xue
Chengjie Wang
Q. Liao
VLM
22
32
0
24 Nov 2021
Learning to Detect Instance-level Salient Objects Using Complementary
  Image Labels
Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
Xin Tian
Ke Xu
Xin Yang
Baocai Yin
Rynson W. H. Lau
WSOD
34
28
0
19 Nov 2021
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and
  Beyond
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
Đ.Khuê Lê-Huu
Alahari Karteek
36
12
0
27 Oct 2021
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic
  Segmentation
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
Yunxin Li
Ahmet Sencan
Yunxin Ding
Nazli Ikizler-Cinbis
Hao Fei
VLM
SSL
32
10
0
23 Oct 2021
Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
Yiwen Li
G. P. Data
Yunguan Fu
Yipeng Hu
V. Prisacariu
VLM
22
13
0
22 Oct 2021
Localizing Infinity-shaped fishes: Sketch-guided object localization in
  the wild
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild
Pau Riba
S. Dey
Ali Furkan Biten
Josep Llados
32
3
0
24 Sep 2021
DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection
DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection
Steven Lang
Fabrizio G. Ventola
Kristian Kersting
34
14
0
13 Sep 2021
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
Ngan Le
V. Rathour
Kashu Yamazaki
Khoa Luu
Marios Savvides
VLM
AI4TS
16
156
0
25 Aug 2021
Lightweight Monocular Depth with a Novel Neural Architecture Search
  Method
Lightweight Monocular Depth with a Novel Neural Architecture Search Method
Lam Huynh
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
29
10
0
25 Aug 2021
Few-shot Segmentation with Optimal Transport Matching and Message Flow
Few-shot Segmentation with Optimal Transport Matching and Message Flow
Weide Liu
Chi Zhang
Henghui Ding
Tzu-Yi Hung
Guosheng Lin
32
49
0
19 Aug 2021
A Self-Distillation Embedded Supervised Affinity Attention Model for
  Few-Shot Segmentation
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation
Qi Zhao
Binghao Liu
Shuchang Lyu
Yifan Yang
VLM
34
16
0
14 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu
Sen He
Xiatian Zhu
Li Zhang
Yi-Zhe Song
Tao Xiang
ViT
171
173
0
06 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu
Xiangxi Shi
Guosheng lin
Jianfei Cai
VLM
75
108
0
06 Aug 2021
Boosting Few-shot Semantic Segmentation with Transformers
Boosting Few-shot Semantic Segmentation with Transformers
Guolei Sun
Yun-Hai Liu
Christos Sakaridis
Luc Van Gool
ViT
32
9
0
04 Aug 2021
Improving Video Instance Segmentation via Temporal Pyramid Routing
Improving Video Instance Segmentation via Temporal Pyramid Routing
Xiangtai Li
Hao He
Yibo Yang
Henghui Ding
Kuiyuan Yang
Guangliang Cheng
Yunhai Tong
Jianping Shi
VOS
24
10
0
28 Jul 2021
Amodal segmentation just like doing a jigsaw
Amodal segmentation just like doing a jigsaw
Xunli Zeng
Jianqin Yin
VLM
36
9
0
15 Jul 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng
Alex Schwing
Alexander Kirillov
VLM
ViT
61
1,504
0
13 Jul 2021
SOLO: A Simple Framework for Instance Segmentation
SOLO: A Simple Framework for Instance Segmentation
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
ISeg
SSeg
27
85
0
30 Jun 2021
Content-Aware Convolutional Neural Networks
Content-Aware Convolutional Neural Networks
Yong Guo
Yaofo Chen
Mingkui Tan
Kui Jia
Jian Chen
Jingdong Wang
36
8
0
30 Jun 2021
Inverting and Understanding Object Detectors
Inverting and Understanding Object Detectors
Ang Cao
Justin Johnson
ObjD
33
3
0
26 Jun 2021
DeepLab2: A TensorFlow Library for Deep Labeling
DeepLab2: A TensorFlow Library for Deep Labeling
Mark Weber
Huiyu Wang
Siyuan Qiao
Jun Xie
Maxwell D. Collins
...
Laura Leal-Taixe
Alan Yuille
Florian Schroff
Hartwig Adam
Liang-Chieh Chen
VLM
29
47
0
17 Jun 2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic
  Segmentation
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Bingfeng Zhang
Jimin Xiao
Jianbo Jiao
Yunchao Wei
Yao-Min Zhao
33
95
0
08 Jun 2021
Few-Shot Segmentation via Cycle-Consistent Transformer
Few-Shot Segmentation via Cycle-Consistent Transformer
Gengwei Zhang
Guoliang Kang
Yi Yang
Yunchao Wei
ViT
19
179
0
04 Jun 2021
BoundarySqueeze: Image Segmentation as Boundary Squeezing
BoundarySqueeze: Image Segmentation as Boundary Squeezing
Hao He
Xiangtai Li
Kuiyuan Yang
Guangliang Cheng
Yunhai Tong
Lubin Weng
Zhengjun Zha
Jianping Shi
ISeg
30
10
0
25 May 2021
DiscoBox: Weakly Supervised Instance Segmentation and Semantic
  Correspondence from Box Supervision
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
Shiyi Lan
Zhiding Yu
Chris Choy
Subhashree Radhakrishnan
Guilin Liu
Yuke Zhu
Larry S. Davis
Anima Anandkumar
WSOD
ISeg
14
77
0
13 May 2021
ISTR: End-to-End Instance Segmentation with Transformers
ISTR: End-to-End Instance Segmentation with Transformers
Jie Hu
Liujuan Cao
Yao Lu
Shengchuan Zhang
Yan Wang
Ke Li
Feiyue Huang
Ling Shao
Rongrong Ji
ISeg
31
93
0
03 May 2021
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive
  Background Prototypes
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Jiacheng Chen
Bin-Bin Gao
Zongqing Lu
Jing-Hao Xue
Chengjie Wang
Q. Liao
VLM
23
10
0
19 Apr 2021
Weakly Supervised Object Localization and Detection: A Survey
Weakly Supervised Object Localization and Detection: A Survey
Dingwen Zhang
Junwei Han
Gong Cheng
Ming-Hsuan Yang
WSOD
30
270
0
16 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
34
288
0
04 Apr 2021
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using
  Hierarchical Self-Supervision
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
Zhenzhen Weng
Mehmet Giray Ogut
Shai Limonchik
Serena Yeung
22
43
0
02 Apr 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Bingfeng Zhang
Jimin Xiao
Terry Qin
19
163
0
30 Mar 2021
A Novel Upsampling and Context Convolution for Image Semantic
  Segmentation
A Novel Upsampling and Context Convolution for Image Semantic Segmentation
Khwaja Monib Sediqi
H. Lee
SSeg
30
14
0
20 Mar 2021
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised
  Semantic Segmentation
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation
Chaohao Xie
Dongwei Ren
Lei Wang
W. Zuo
20
3
0
09 Mar 2021
Differentiable Multi-Granularity Human Representation Learning for
  Instance-Aware Human Semantic Parsing
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing
Tianfei Zhou
Wenguan Wang
Si Liu
Yi Yang
Luc Van Gool
3DH
27
64
0
08 Mar 2021
STEP: Segmenting and Tracking Every Pixel
STEP: Segmenting and Tracking Every Pixel
Mark Weber
Jun Xie
Maxwell D. Collins
Yukun Zhu
P. Voigtlaender
...
Bastian Leibe
Daniel Cremers
Aljosa Osep
Laura Leal-Taixé
Liang-Chieh Chen
VOS
27
75
0
23 Feb 2021
Where is my hand? Deep hand segmentation for visual self-recognition in
  humanoid robots
Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots
Alexandre P. R. P. Almeida
Pedro Vicente
Alexandre Bernardino
23
5
0
09 Feb 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Nayeon Lee
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
290
981
0
27 Jan 2021
Nondiscriminatory Treatment: a straightforward framework for multi-human
  parsing
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing
Min Yan
Guoshan Zhang
Tong Zhang
Yueming Zhang
28
3
0
26 Jan 2021
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in
  Videos
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos
Bin Zhao
Goutam Bhat
Martin Danelljan
Luc Van Gool
Radu Timofte
VOS
42
16
0
06 Jan 2021
Instance Segmentation of Industrial Point Cloud Data
Instance Segmentation of Industrial Point Cloud Data
E. Agapaki
I. Brilakis
3DV
38
14
0
24 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
971
0
13 Dec 2020
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic
  Segmentation
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
Siyuan Qiao
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
MDE
21
143
0
09 Dec 2020
CompFeat: Comprehensive Feature Aggregation for Video Instance
  Segmentation
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
Yang Fu
Linjie Yang
Ding Liu
Thomas S. Huang
Humphrey Shi
VOS
32
71
0
07 Dec 2020
The Devil is in the Boundary: Exploiting Boundary Representation for
  Basis-based Instance Segmentation
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation
Myungchul Kim
Sanghyun Woo
Dahun Kim
In So Kweon
ISeg
19
20
0
26 Nov 2020
Scaling Wide Residual Networks for Panoptic Segmentation
Scaling Wide Residual Networks for Panoptic Segmentation
Liang-Chieh Chen
Huiyu Wang
Siyuan Qiao
SSeg
27
47
0
23 Nov 2020
Foreground-Aware Relation Network for Geospatial Object Segmentation in
  High Spatial Resolution Remote Sensing Imagery
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
Zhuo Zheng
Yanfei Zhong
Junjue Wang
A. Ma
38
234
0
19 Nov 2020
SeekNet: Improved Human Instance Segmentation and Tracking via
  Reinforcement Learning Based Optimized Robot Relocation
SeekNet: Improved Human Instance Segmentation and Tracking via Reinforcement Learning Based Optimized Robot Relocation
V. Narayanan
Bala Murali Manoghar
Rama Prashanth RV
Phu-Cuong Pham
Aniket Bera
21
1
0
17 Nov 2020
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags
  Summarization Problem
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem
H. Phung
A. Vu
Tung D. Nguyen
Lam Thanh Do
Giang Nam Ngo
Trung Thanh Tran
Hà Nội
ViT
25
0
0
09 Nov 2020
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of
  Transmission Towers and Power Lines
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines
R. Abdelfattah
Xiang Wang
Song Wang
ViT
70
66
0
20 Oct 2020
Weakly-supervised Salient Instance Detection
Weakly-supervised Salient Instance Detection
Xin Tian
Ke Xu
Xin Yang
Baocai Yin
Rynson W. H. Lau
WSOD
33
22
0
29 Sep 2020
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