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Joint Representation of Temporal Image Sequences and Object Motion for
  Video Object Detection

Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection

20 November 2020
Junho Koh
Jaekyum Kim
Younji Shin
Byeongwon Lee
Seungji Yang
J. Choi
ArXivPDFHTML

Papers citing "Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection"

26 / 26 papers shown
Title
Memory Enhanced Global-Local Aggregation for Video Object Detection
Memory Enhanced Global-Local Aggregation for Video Object Detection
Yihong Chen
Yue Cao
Han Hu
Liwei Wang
146
262
0
26 Mar 2020
Relation Distillation Networks for Video Object Detection
Relation Distillation Networks for Video Object Detection
Jiajun Deng
Yingwei Pan
Ting Yao
Wen-gang Zhou
Houqiang Li
Tao Mei
ObjD
134
191
0
26 Aug 2019
Sequence Level Semantics Aggregation for Video Object Detection
Sequence Level Semantics Aggregation for Video Object Detection
Haiping Wu
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
73
204
0
15 Jul 2019
Progressive Sparse Local Attention for Video object detection
Progressive Sparse Local Attention for Video object detection
Chaoxu Guo
Bin Fan
Jie Gu
Qian Zhang
Shiming Xiang
V. Prinet
Chunhong Pan
43
85
0
21 Mar 2019
Object Detection in Video with Spatiotemporal Sampling Networks
Object Detection in Video with Spatiotemporal Sampling Networks
Gedas Bertasius
Lorenzo Torresani
Jianbo Shi
ViT
45
220
0
15 Mar 2018
Video Object Detection with an Aligned Spatial-Temporal Memory
Video Object Detection with an Aligned Spatial-Temporal Memory
Fanyi Xiao
Yong Jae Lee
67
189
0
18 Dec 2017
Detect to Track and Track to Detect
Detect to Track and Track to Detect
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
VOT
69
562
0
11 Oct 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
341
26,241
0
05 Sep 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,747
0
17 Apr 2017
Flow-Guided Feature Aggregation for Video Object Detection
Flow-Guided Feature Aggregation for Video Object Detection
Xizhou Zhu
Yujie Wang
Jifeng Dai
Lu Yuan
Yichen Wei
75
620
0
29 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
305
27,018
0
20 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
188
5,291
0
17 Mar 2017
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
115
5,627
0
20 May 2016
Seq-NMS for Video Object Detection
Seq-NMS for Video Object Detection
Wei Han
Pooya Khorrami
T. Paine
Prajit Ramachandran
Mohammad Babaeizadeh
Humphrey Shi
Jianan Li
Shuicheng Yan
Thomas S. Huang
40
301
0
26 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
146
29,646
0
08 Dec 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
L. Yao
C. Pal
Aaron Courville
MDE
68
699
0
19 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
568
36,643
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
412
61,900
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
277
24,976
0
30 Apr 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
254
4,159
0
26 Apr 2015
Finding Action Tubes
Finding Action Tubes
Georgia Gkioxari
Jitendra Malik
39
598
0
21 Nov 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
954
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
647
23,235
0
03 Jun 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
224
26,122
0
11 Nov 2013
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