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CondConv: Conditionally Parameterized Convolutions for Efficient
  Inference

CondConv: Conditionally Parameterized Convolutions for Efficient Inference

10 April 2019
Brandon Yang
Gabriel Bender
Quoc V. Le
Jiquan Ngiam
    MedIm
    3DV
ArXivPDFHTML

Papers citing "CondConv: Conditionally Parameterized Convolutions for Efficient Inference"

32 / 82 papers shown
Title
Event-Aware Multimodal Mobility Nowcasting
Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang
Renhe Jiang
Hao Xue
Flora D. Salim
Xuan Song
Ryosuke Shibasaki
30
35
0
14 Dec 2021
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
Yuan Shen
Niviru Wijayaratne
Pranav Sriram
Aamir Hasan
Peter Du
Katherine Driggs-Campbell
6
11
0
19 Nov 2021
Relational Self-Attention: What's Missing in Attention for Video
  Understanding
Relational Self-Attention: What's Missing in Attention for Video Understanding
Manjin Kim
Heeseung Kwon
Chunyu Wang
Suha Kwak
Minsu Cho
ViT
25
28
0
02 Nov 2021
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways
Dong-Hee Paek
Seung-Hyung Kong
Kevin Tirta Wijaya
3DV
17
21
0
21 Oct 2021
TAda! Temporally-Adaptive Convolutions for Video Understanding
TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang
Shiwei Zhang
Liang Pan
Zhiwu Qing
Mingqian Tang
Ziwei Liu
M. Ang
35
49
0
12 Oct 2021
Beyond Distillation: Task-level Mixture-of-Experts for Efficient
  Inference
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
Sneha Kudugunta
Yanping Huang
Ankur Bapna
M. Krikun
Dmitry Lepikhin
Minh-Thang Luong
Orhan Firat
MoE
119
106
0
24 Sep 2021
CondNet: Conditional Classifier for Scene Segmentation
CondNet: Conditional Classifier for Scene Segmentation
Changqian Yu
Yuanjie Shao
Changxin Gao
Nong Sang
27
12
0
21 Sep 2021
Dynamic Fusion Network for RGBT Tracking
Dynamic Fusion Network for RGBT Tracking
Jingchao Peng
Haitao Zhao
Zhengwei Hu
32
27
0
16 Sep 2021
Image Synthesis via Semantic Composition
Image Synthesis via Semantic Composition
Yi Wang
Lu Qi
Ying-Cong Chen
X. Zhang
Jiaya Jia
174
61
0
15 Sep 2021
Mobile-Former: Bridging MobileNet and Transformer
Mobile-Former: Bridging MobileNet and Transformer
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Xiaoyi Dong
Lu Yuan
Zicheng Liu
ViT
172
476
0
12 Aug 2021
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based
  Action Recognition
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
Yuxin Chen
Ziqi Zhang
Chunfen Yuan
Bing Li
Ying Deng
Weiming Hu
45
563
0
26 Jul 2021
EAN: Event Adaptive Network for Enhanced Action Recognition
EAN: Event Adaptive Network for Enhanced Action Recognition
Yuan Tian
Yichao Yan
Guangtao Zhai
G. Guo
Zhiyong Gao
27
41
0
22 Jul 2021
Real-time Instance Segmentation with Discriminative Orientation Maps
Real-time Instance Segmentation with Discriminative Orientation Maps
Wentao Du
Z. Xiang
Shuya Chen
Chengyu Qiao
Yiman Chen
Tingming Bai
ISeg
22
19
0
23 Jun 2021
Scaling Vision with Sparse Mixture of Experts
Scaling Vision with Sparse Mixture of Experts
C. Riquelme
J. Puigcerver
Basil Mustafa
Maxim Neumann
Rodolphe Jenatton
André Susano Pinto
Daniel Keysers
N. Houlsby
MoE
12
575
0
10 Jun 2021
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic
  Instance-Aware Convolutions
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
Wei Mao
Zhi Tian
Xinlong Wang
Chunhua Shen
3DH
19
57
0
29 May 2021
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model
  Configurations
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
Taojiannan Yang
Sijie Zhu
Matías Mendieta
Pu Wang
Ravikumar Balakrishnan
Minwoo Lee
T. Han
M. Shah
C. L. P. Chen
3DH
OOD
24
22
0
14 May 2021
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional
  Convolution
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
Lizhe Liu
Xiaohao Chen
Siyu Zhu
Ping Tan
13
238
0
11 May 2021
BasisNet: Two-stage Model Synthesis for Efficient Inference
BasisNet: Two-stage Model Synthesis for Efficient Inference
Mingda Zhang
Chun-Te Chu
A. Zhmoginov
Andrew G. Howard
Brendan Jou
Yukun Zhu
Li Zhang
R. Hwa
Adriana Kovashka
3DH
20
7
0
07 May 2021
Revisiting Dynamic Convolution via Matrix Decomposition
Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Ye Yu
Lu Yuan
Zicheng Liu
Mei Chen
Nuno Vasconcelos
27
67
0
15 Mar 2021
Involution: Inverting the Inherence of Convolution for Visual
  Recognition
Involution: Inverting the Inherence of Convolution for Visual Recognition
Duo Li
Jie Hu
Changhu Wang
Xiangtai Li
Qi She
Lei Zhu
Tong Zhang
Qifeng Chen
BDL
15
304
0
10 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
48
980
0
03 Mar 2021
Learning Affinity-Aware Upsampling for Deep Image Matting
Learning Affinity-Aware Upsampling for Deep Image Matting
Yutong Dai
Hao Lu
Chunhua Shen
19
55
0
29 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
42
116
0
25 Nov 2020
MicroNet: Towards Image Recognition with Extremely Low FLOPs
MicroNet: Towards Image Recognition with Extremely Low FLOPs
Yunsheng Li
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Lu Yuan
Zicheng Liu
Lei Zhang
Nuno Vasconcelos
25
25
0
24 Nov 2020
High-Capacity Expert Binary Networks
High-Capacity Expert Binary Networks
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
11
57
0
07 Oct 2020
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
Kun Yuan
Quanquan Li
Dapeng Chen
Aojun Zhou
Junjie Yan
GNN
15
1
0
02 Oct 2020
WeightNet: Revisiting the Design Space of Weight Networks
WeightNet: Revisiting the Design Space of Weight Networks
Ningning Ma
X. Zhang
Jiawei Huang
Jian-jun Sun
11
106
0
23 Jul 2020
GShard: Scaling Giant Models with Conditional Computation and Automatic
  Sharding
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Dmitry Lepikhin
HyoukJoong Lee
Yuanzhong Xu
Dehao Chen
Orhan Firat
Yanping Huang
M. Krikun
Noam M. Shazeer
Z. Chen
MoE
18
1,106
0
30 Jun 2020
Learning A Single Network for Scale-Arbitrary Super-Resolution
Learning A Single Network for Scale-Arbitrary Super-Resolution
Longguang Wang
Yingqian Wang
Zaiping Lin
Jungang Yang
W. An
Yulan Guo
SupR
31
111
0
08 Apr 2020
Dynamic Region-Aware Convolution
Dynamic Region-Aware Convolution
Jin Chen
Xijun Wang
Zichao Guo
X. Zhang
Jian-jun Sun
8
116
0
27 Mar 2020
Conditional Convolutions for Instance Segmentation
Conditional Convolutions for Instance Segmentation
Zhi Tian
Chunhua Shen
Hao Chen
ISeg
171
597
0
12 Mar 2020
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
216
7,924
0
17 Aug 2015
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