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Fine-Grained Dynamic Head for Object Detection

Fine-Grained Dynamic Head for Object Detection

7 December 2020
Lin Song
Yanwei Li
Zhengkai Jiang
Zeming Li
Hongbin Sun
Jian Sun
N. Zheng
    ObjD
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Papers citing "Fine-Grained Dynamic Head for Object Detection"

38 / 38 papers shown
Title
Rethinking Learnable Tree Filter for Generic Feature Transform
Rethinking Learnable Tree Filter for Generic Feature Transform
Lin Song
Yanwei Li
Zhengkai Jiang
Zeming Li
Xiangyu Zhang
Hongbin Sun
Jian Sun
N. Zheng
26
17
0
07 Dec 2020
Feature Pyramid Grids
Feature Pyramid Grids
Kai-xiang Chen
Yuhang Cao
Chen Change Loy
Dahua Lin
Christoph Feichtenhofer
40
51
0
07 Apr 2020
Resolution Adaptive Networks for Efficient Inference
Resolution Adaptive Networks for Efficient Inference
Le Yang
Yizeng Han
Xi Chen
Shiji Song
Jifeng Dai
Gao Huang
43
215
0
16 Mar 2020
PointRend: Image Segmentation as Rendering
PointRend: Image Segmentation as Rendering
Alexander Kirillov
Yuxin Wu
Kaiming He
Ross B. Girshick
ISeg
58
890
0
17 Dec 2019
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
140
1,527
0
05 Dec 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
76
4,996
0
20 Nov 2019
Learnable Tree Filter for Structure-preserving Feature Transform
Learnable Tree Filter for Structure-preserving Feature Transform
Lin Song
Yanwei Li
Zeming Li
Gang Yu
Hongbin Sun
Jian Sun
Nanning Zheng
45
48
0
27 Sep 2019
FreeAnchor: Learning to Match Anchors for Visual Object Detection
FreeAnchor: Learning to Match Anchors for Visual Object Detection
Xiaosong Zhang
Fang Wan
Chang-rui Liu
Rongrong Ji
QiXiang Ye
ObjD
32
259
0
05 Sep 2019
TACNet: Transition-Aware Context Network for Spatio-Temporal Action
  Detection
TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection
Lin Song
Shiwei Zhang
Gang Yu
Hongbin Sun
121
82
0
31 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
104
17,950
0
28 May 2019
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
Songyang Zhang
Shipeng Yan
Xuming He
GNN
66
81
0
28 May 2019
Progressive Differentiable Architecture Search: Bridging the Depth Gap
  between Search and Evaluation
Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
AI4TS
MQ
53
660
0
29 Apr 2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao
Jiarui Xu
Stephen Lin
Fangyun Wei
Han Hu
ISeg
65
1,561
0
25 Apr 2019
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object
  Detection
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi
Nayeon Lee
Ruoming Pang
Quoc V. Le
ObjD
57
1,389
0
16 Apr 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
100
4,969
0
02 Apr 2019
DetNAS: Backbone Search for Object Detection
DetNAS: Backbone Search for Object Detection
Yukang Chen
Tong Yang
Xinming Zhang
Gaofeng Meng
Xinyu Xiao
Jian Sun
55
265
0
26 Mar 2019
Panoptic Feature Pyramid Networks
Panoptic Feature Pyramid Networks
Alexander Kirillov
Ross B. Girshick
Kaiming He
Piotr Dollár
ISeg
SSeg
94
1,280
0
08 Jan 2019
Sequential Context Encoding for Duplicate Removal
Sequential Context Encoding for Duplicate Removal
Lu Qi
Shu Liu
Jianping Shi
Jiaya Jia
51
23
0
20 Oct 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
167
4,326
0
24 Jun 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
145
3,626
0
22 Mar 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISeg
SSeg
86
5,696
0
05 Mar 2018
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
59
628
0
26 Nov 2017
Feature Selective Networks for Object Detection
Feature Selective Networks for Object Detection
Y. Zhai
Jingjing Fu
Yan Lu
Houqiang Li
ObjD
48
18
0
24 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
213
8,867
0
21 Nov 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
76
561
0
05 Jul 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
300
27,018
0
20 Mar 2017
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
158
2,614
0
23 Jan 2017
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
418
21,951
0
09 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
848
14,493
0
07 Oct 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
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
44
96
0
24 Nov 2015
Multiscale Combinatorial Grouping for Image Segmentation and Object
  Proposal Generation
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
Jordi Pont-Tuset
Pablo Arbeláez
Jonathan T. Barron
F. Marqués
Jitendra Malik
54
568
0
03 Mar 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
300
43,154
0
11 Feb 2015
Hypercolumns for Object Segmentation and Fine-grained Localization
Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
SSeg
108
1,594
0
21 Nov 2014
Spatially-sparse convolutional neural networks
Spatially-sparse convolutional neural networks
Benjamin Graham
59
231
0
22 Sep 2014
Part-based R-CNNs for Fine-grained Category Detection
Part-based R-CNNs for Fine-grained Category Detection
Ning Zhang
Jeff Donahue
Ross B. Girshick
Trevor Darrell
ObjD
88
1,223
0
15 Jul 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
225
6,267
0
16 Dec 2013
Predicting Parameters in Deep Learning
Predicting Parameters in Deep Learning
Misha Denil
B. Shakibi
Laurent Dinh
MarcÁurelio Ranzato
Nando de Freitas
OOD
136
1,314
0
03 Jun 2013
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