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Aggregated Residual Transformations for Deep Neural Networks
v1v2 (latest)

Aggregated Residual Transformations for Deep Neural Networks

16 November 2016
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
ArXiv (abs)PDFHTML

Papers citing "Aggregated Residual Transformations for Deep Neural Networks"

50 / 3,722 papers shown
Title
A Non-monotonic Smooth Activation Function
A Non-monotonic Smooth Activation Function
Koushik Biswas
Meghana Karri
Ulacs Baugci
60
2
0
16 Oct 2023
Orthogonal Uncertainty Representation of Data Manifold for Robust
  Long-Tailed Learning
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning
Yanbiao Ma
Licheng Jiao
Fang Liu
Shuyuan Yang
Xu Liu
Lingling Li
OOD
90
7
0
16 Oct 2023
Automated Detection of Cat Facial Landmarks
Automated Detection of Cat Facial Landmarks
G.A. Martvel
I. Shimshoni
Anna Zamansky
CVBM
74
15
0
15 Oct 2023
G10: Enabling An Efficient Unified GPU Memory and Storage Architecture
  with Smart Tensor Migrations
G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations
Haoyang Zhang
Yirui Eric Zhou
Yu Xue
Yiqi Liu
Jian Huang
46
18
0
13 Oct 2023
AutoVP: An Automated Visual Prompting Framework and Benchmark
AutoVP: An Automated Visual Prompting Framework and Benchmark
Hsi-Ai Tsao
Lei Hsiung
Pin-Yu Chen
Sijia Liu
Tsung-Yi Ho
VLM
92
22
0
12 Oct 2023
Does resistance to style-transfer equal Global Shape Bias? Measuring
  network sensitivity to global shape configuration
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
Ziqi Wen
Tianqin Li
Zhi Jing
Tai Sing Lee
OOD
59
0
0
11 Oct 2023
RoboHive: A Unified Framework for Robot Learning
RoboHive: A Unified Framework for Robot Learning
Vikash Kumar
Rutav Shah
Gaoyue Zhou
Vincent Moens
Vittorio Caggiano
Jay Vakil
Abhishek Gupta
Aravind Rajeswaran
69
25
0
10 Oct 2023
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield
  but Also a Catalyst for Model Inversion Attacks
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
Lukas Struppek
Dominik Hintersdorf
Kristian Kersting
81
15
0
10 Oct 2023
Plug n' Play: Channel Shuffle Module for Enhancing Tiny Vision
  Transformers
Plug n' Play: Channel Shuffle Module for Enhancing Tiny Vision Transformers
Xuwei Xu
Sen Wang
Yudong Chen
Jiajun Liu
ViT
61
1
0
09 Oct 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
235
3
0
08 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust
  Classifiers
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
Zhenglin Huang
Xianan Bao
Na Zhang
Qingqi Zhang
Xiaomei Tu
Biao Wu
Xi Yang
125
9
0
07 Oct 2023
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Shuangliang Li
Longhui Yuan
Binhui Xie
Tao Yang
TTA
85
2
0
07 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data
  Heterogeneity in Federated Learning
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning
Peiran Xu
Zeyu Wang
Jieru Mei
Liangqiong Qu
Alan Yuille
Cihang Xie
Yuyin Zhou
FedML
62
1
0
06 Oct 2023
Entropic Score metric: Decoupling Topology and Size in Training-free NAS
Entropic Score metric: Decoupling Topology and Size in Training-free NAS
Niccolò Cavagnero
Luc Robbiano
Francesca Pistilli
Barbara Caputo
Giuseppe Averta
65
3
0
06 Oct 2023
End-to-End Chess Recognition
End-to-End Chess Recognition
Athanasios Masouris
Jan van Gemert
25
2
0
06 Oct 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable
  Evasion Attacks
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks
Ofir Bar Tal
Adi Haviv
Amit H. Bermano
AAML
79
0
0
05 Oct 2023
GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene
  Interactions From Gene Expression Data
GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data
Ahmed Fakhry
Raneem Ali Khafagy
Adriaan-Alexander Ludl
16
0
0
05 Oct 2023
Efficient-3DiM: Learning a Generalizable Single-image Novel-view
  Synthesizer in One Day
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
Yi Ding
Hao Tang
Jen-Hao Rick Chang
Liangchen Song
Zhangyang Wang
Liangliang Cao
DiffM
108
11
0
04 Oct 2023
A Grammatical Compositional Model for Video Action Detection
A Grammatical Compositional Model for Video Action Detection
Zhijun Zhang
Xu Zou
Jiahuan Zhou
Sheng Zhong
Ying Wu
121
0
0
04 Oct 2023
Dynamic Shuffle: An Efficient Channel Mixture Method
Dynamic Shuffle: An Efficient Channel Mixture Method
Kaijun Gong
Zhuowen Yin
Yushu Li
K. Guo
Xiangmin Xu
86
0
0
04 Oct 2023
An evaluation of pre-trained models for feature extraction in image
  classification
An evaluation of pre-trained models for feature extraction in image classification
Erick da Silva Puls
M. V. Todescato
J. Carbonera
CLIPVLM
38
10
0
03 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection
  Algorithms
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
William Yang
Byron Zhang
Olga Russakovsky
OODD
102
14
0
03 Oct 2023
Modularity in Deep Learning: A Survey
Modularity in Deep Learning: A Survey
Haozhe Sun
Isabelle Guyon
MoMe
113
3
0
02 Oct 2023
Strength in Diversity: Multi-Branch Representation Learning for Vehicle
  Re-Identification
Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification
Eurico Almeida
Bruno Silva
Jorge Batista
69
7
0
02 Oct 2023
Incorporating Supervised Domain Generalization into Data Augmentation
Incorporating Supervised Domain Generalization into Data Augmentation
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
72
0
0
02 Oct 2023
Logical Bias Learning for Object Relation Prediction
Logical Bias Learning for Object Relation Prediction
Xinyu Zhou
Zihan Ji
Anna Zhu
CVBM
60
0
0
01 Oct 2023
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from
  Chest X-ray Images
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images
Huyen Tran
D. Nguyen
John Yearwood
MedImViT
76
0
0
30 Sep 2023
Module-wise Training of Neural Networks via the Minimizing Movement
  Scheme
Module-wise Training of Neural Networks via the Minimizing Movement Scheme
Skander Karkar
Bhaskar Sen
Emmanuel de Bezenac
Patrick Gallinari
88
2
0
29 Sep 2023
Multi-Depth Branch Network for Efficient Image Super-Resolution
Multi-Depth Branch Network for Efficient Image Super-Resolution
Huiyuan Tian
Li Zhang
Shijian Li
Min Yao
Gang Pan
SupR
111
13
0
29 Sep 2023
YOLOR-Based Multi-Task Learning
YOLOR-Based Multi-Task Learning
Hung-Shuo Chang
Chien-Yao Wang
Hang Yan
Yukun Zhu
Hongpeng Liao
MoEVLM
59
16
0
29 Sep 2023
Weakly-Supervised Video Anomaly Detection with Snippet Anomalous
  Attention
Weakly-Supervised Video Anomaly Detection with Snippet Anomalous Attention
Yidan Fan
Yongxin Yu
Wenhuan Lu
Yahong Han
75
23
0
28 Sep 2023
Convolutional Networks with Oriented 1D Kernels
Convolutional Networks with Oriented 1D Kernels
Alexandre Kirchmeyer
Jia Deng
108
5
0
27 Sep 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object
  Detection
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
Kemal Oksuz
Selim Kuzucu
Tom Joy
P. Dokania
MoE
145
7
0
26 Sep 2023
Structure Invariant Transformation for better Adversarial
  Transferability
Structure Invariant Transformation for better Adversarial Transferability
Xiaosen Wang
Zeliang Zhang
Jianping Zhang
AAML
83
68
0
26 Sep 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Yongyi Su
Xun Xu
Kui Jia
TTA
165
26
0
26 Sep 2023
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
Piyush Tiwary
Atri Guha
Subhodip Panda
Prathosh A.P.
MUGAN
139
9
0
25 Sep 2023
Being Aware of Localization Accuracy By Generating Predicted-IoU-Guided
  Quality Scores
Being Aware of Localization Accuracy By Generating Predicted-IoU-Guided Quality Scores
Peng Liu
Weibo Wang
Yuhan Guo
Jiubin Tan
67
2
0
23 Sep 2023
Invisible Watermarking for Audio Generation Diffusion Models
Invisible Watermarking for Audio Generation Diffusion Models
Xirong Cao
Xia Li
D. Jadav
Yanzhao Wu
Zhehui Chen
Chen Zeng
Wenqi Wei
WIGM
85
9
0
22 Sep 2023
Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning
Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning
Jonathan Sauder
G. Banc-Prandi
Anders Meibom
D. Tuia
72
14
0
22 Sep 2023
A Multiscale Autoencoder (MSAE) Framework for End-to-End Neural Network
  Speech Enhancement
A Multiscale Autoencoder (MSAE) Framework for End-to-End Neural Network Speech Enhancement
Bengt J. Borgström
M. Brandstein
69
2
0
21 Sep 2023
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
Haodong Duan
Mingze Xu
Bing Shuai
Davide Modolo
Zhuowen Tu
Joseph Tighe
Alessandro Bergamo
ViT
82
1
0
20 Sep 2023
BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye
  View Map Construction
BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction
Minsu Kim
Giseop Kim
Kyong Hwan Jin
Sunwook Choi
75
5
0
20 Sep 2023
Bridging the Spoof Gap: A Unified Parallel Aggregation Network for Voice
  Presentation Attacks
Bridging the Spoof Gap: A Unified Parallel Aggregation Network for Voice Presentation Attacks
Awais Khan
K. Malik
63
0
0
19 Sep 2023
Emerging Approaches for THz Array Imaging: A Tutorial Review and
  Software Tool
Emerging Approaches for THz Array Imaging: A Tutorial Review and Software Tool
Josiah W. Smith
Murat Torlak
83
1
0
16 Sep 2023
Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking
Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking
Wenzhang Wei
Zhipeng Gui
Changguang Wu
Anqi Zhao
D. Peng
Huayi Wu
87
0
0
15 Sep 2023
SparseSwin: Swin Transformer with Sparse Transformer Block
SparseSwin: Swin Transformer with Sparse Transformer Block
Krisna Pinasthika
Blessius Sheldo Putra Laksono
Riyandi Banovbi Putera Irsal
Syifa’ Hukma Shabiyya
N. Yudistira
ViT
89
19
0
11 Sep 2023
RepSGG: Novel Representations of Entities and Relationships for Scene
  Graph Generation
RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation
Hengyue Liu
B. Bhanu
114
3
0
06 Sep 2023
DMKD: Improving Feature-based Knowledge Distillation for Object
  Detection Via Dual Masking Augmentation
DMKD: Improving Feature-based Knowledge Distillation for Object Detection Via Dual Masking Augmentation
Guangqi Yang
Yin Tang
Zhijian Wu
Jun Yu Li
Jianhua Xu
Xili Wan
80
4
0
06 Sep 2023
Accuracy and Consistency of Space-based Vegetation Height Maps for
  Forest Dynamics in Alpine Terrain
Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain
Yuchang Jiang
Marius Rüetschi
Vivien Sainte Fare Garnot
M. Marty
Konrad Schindler
C. Ginzler
Jan Dirk Wegner
26
2
0
04 Sep 2023
Prior Knowledge Guided Network for Video Anomaly Detection
Prior Knowledge Guided Network for Video Anomaly Detection
Zhewen Deng
Dongyue Chen
Shizhuo Deng
36
0
0
04 Sep 2023
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