ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.13630
  4. Cited By
TResNet: High Performance GPU-Dedicated Architecture

TResNet: High Performance GPU-Dedicated Architecture

30 March 2020
T. Ridnik
Hussam Lawen
Asaf Noy
Emanuel Ben-Baruch
Gilad Sharir
Itamar Friedman
    OOD
ArXivPDFHTML

Papers citing "TResNet: High Performance GPU-Dedicated Architecture"

42 / 42 papers shown
Title
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
78
1
0
21 Jun 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du
Yifan Zhou
Fan Lyu
Yuyang Li
Chen Lu
Guangcan Liu
CLL
32
2
0
19 Mar 2024
Gramian Attention Heads are Strong yet Efficient Vision Learners
Gramian Attention Heads are Strong yet Efficient Vision Learners
Jongbin Ryu
Dongyoon Han
J. Lim
30
1
0
25 Oct 2023
Skipped Feature Pyramid Network with Grid Anchor for Object Detection
Skipped Feature Pyramid Network with Grid Anchor for Object Detection
Pengfei Li
Wei Wei
Yan Yu
Zhu Rong
Liguo Zhou
ObjD
25
0
0
22 Oct 2023
End-to-End Supervised Multilabel Contrastive Learning
End-to-End Supervised Multilabel Contrastive Learning
A. Sajedi
Samir Khaki
Konstantinos N. Plataniotis
Mahdi S. Hosseini
SSL
23
8
0
08 Jul 2023
Prompt Evolution for Generative AI: A Classifier-Guided Approach
Prompt Evolution for Generative AI: A Classifier-Guided Approach
Melvin Wong
Yew-Soon Ong
Abhishek Gupta
K. Bali
Caishun Chen
21
14
0
24 May 2023
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute
  Recognition
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition
Xinwen Fan
Yukang Zhang
Yang Lu
Hanzi Wang
ViT
21
29
0
14 Apr 2023
Asymmetric Polynomial Loss For Multi-Label Classification
Asymmetric Polynomial Loss For Multi-Label Classification
Yusheng Huang
Jiexing Qi
Xinbing Wang
Zhouhan Lin
31
7
0
10 Apr 2023
Out of Distribution Performance of State of Art Vision Model
Out of Distribution Performance of State of Art Vision Model
Salman Rahman
W. Lee
35
2
0
25 Jan 2023
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image
  Classification
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification
I. Singh
Enjie Ghorbel
Anis Kacem
A. Rathinam
Djamila Aouada
23
3
0
25 Jan 2023
A Study on the Intersection of GPU Utilization and CNN Inference
A Study on the Intersection of GPU Utilization and CNN Inference
J. Kosaian
Amar Phanishayee
18
3
0
15 Dec 2022
MuMIC -- Multimodal Embedding for Multi-label Image Classification with
  Tempered Sigmoid
MuMIC -- Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid
Feng Wang
Sarai Mizrachi
Moran Beladev
Guy Nadav
Gil Amsalem
Karen Lastmann Assaraf
Hadas Harush Boker
VLM
22
13
0
02 Nov 2022
Food Ingredients Recognition through Multi-label Learning
Food Ingredients Recognition through Multi-label Learning
Rameez Ismail
Zhaorui Yuan
22
0
0
24 Oct 2022
VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe
  Inspection
VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection
Yi Liu
Xuan Zhang
Ying Li
Guixin Liang
Yabing Jiang
...
Fei Xie
Wei Yao
Yifang Dai
Yu Qiao
Yali Wang
16
10
0
20 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Ivan Kapelyukh
Vitalis Vosylius
Edward Johns
LM&Ro
DiffM
110
144
0
05 Oct 2022
Combining Metric Learning and Attention Heads For Accurate and Efficient
  Multilabel Image Classification
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification
K. Prokofiev
V. Sovrasov
VLM
23
9
0
14 Sep 2022
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
Vitaliy Chiley
Vithursan Thangarasa
Abhay Gupta
Anshul Samar
Joel Hestness
D. DeCoste
43
8
0
28 Jun 2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top
  Results
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results
T. Ridnik
Hussam Lawen
Emanuel Ben-Baruch
Asaf Noy
38
11
0
07 Apr 2022
RankSeg: Adaptive Pixel Classification with Image Category Ranking for
  Segmentation
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation
Hao He
Yuhui Yuan
Xiangyu Yue
Han Hu
VOS
VLM
22
13
0
08 Mar 2022
Cyclical Focal Loss
Cyclical Focal Loss
L. Smith
30
14
0
16 Feb 2022
It's All in the Head: Representation Knowledge Distillation through
  Classifier Sharing
It's All in the Head: Representation Knowledge Distillation through Classifier Sharing
Emanuel Ben-Baruch
M. Karklinsky
Yossi Biton
Avi Ben-Cohen
Hussam Lawen
Nadav Zamir
18
11
0
18 Jan 2022
Multi-label Classification with Partial Annotations using Class-aware
  Selective Loss
Multi-label Classification with Partial Annotations using Class-aware Selective Loss
Emanuel Ben-Baruch
T. Ridnik
Itamar Friedman
Avi Ben-Cohen
Nadav Zamir
Asaf Noy
Lihi Zelnik-Manor
30
38
0
21 Oct 2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
97
125
0
03 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
212
487
0
01 Oct 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel
  Classification
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
Gabriel Bénédict
Vincent Koops
Daan Odijk
Maarten de Rijke
27
30
0
24 Aug 2021
Residual Attention: A Simple but Effective Method for Multi-Label
  Recognition
Residual Attention: A Simple but Effective Method for Multi-Label Recognition
Ke Zhu
Jianxin Wu
23
135
0
05 Aug 2021
T$_k$ML-AP: Adversarial Attacks to Top-$k$ Multi-Label Learning
Tk_kk​ML-AP: Adversarial Attacks to Top-kkk Multi-Label Learning
Shu Hu
Lipeng Ke
Xin Wang
Siwei Lyu
VLM
AAML
18
34
0
31 Jul 2021
Query2Label: A Simple Transformer Way to Multi-Label Classification
Query2Label: A Simple Transformer Way to Multi-Label Classification
Shilong Liu
Lei Zhang
Xiao Yang
Hang Su
Jun Zhu
18
187
0
22 Jul 2021
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
179
686
0
22 Apr 2021
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and
  Benchmark
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Joakim Bruslund Haurum
T. Moeslund
18
60
0
19 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello
W. Fedus
Xianzhi Du
E. D. Cubuk
A. Srinivas
Tsung-Yi Lin
Jonathon Shlens
Barret Zoph
27
297
0
13 Mar 2021
Large Batch Simulation for Deep Reinforcement Learning
Large Batch Simulation for Deep Reinforcement Learning
Brennan Shacklett
Erik Wijmans
Aleksei Petrenko
Manolis Savva
Dhruv Batra
V. Koltun
Kayvon Fatahalian
3DV
OffRL
AI4CE
27
26
0
12 Mar 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention
LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello
269
179
0
17 Feb 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
290
979
0
27 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
70
56
0
05 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural
  Networks: Survey of Current Trends, Challenges, and the Road Ahead
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Muhammad Shafique
BDL
56
140
0
21 Dec 2020
A Technical Report for VIPriors Image Classification Challenge
A Technical Report for VIPriors Image Classification Challenge
Zhipeng Luo
Ge Li
Zhiguang Zhang
VLM
22
2
0
17 Jul 2020
Fine-Grained Visual Classification with Efficient End-to-end
  Localization
Fine-Grained Visual Classification with Efficient End-to-end Localization
Harald Hanselmann
Hermann Ney
6
5
0
11 May 2020
Scaling Out-of-Distribution Detection for Real-World Settings
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks
Steven Basart
Mantas Mazeika
Andy Zou
Joe Kwon
Mohammadreza Mostajabi
Jacob Steinhardt
D. Song
OODD
15
455
0
25 Nov 2019
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 2018
DetNet: A Backbone network for Object Detection
DetNet: A Backbone network for Object Detection
Zeming Li
Chao Peng
Gang Yu
Xiangyu Zhang
Yangdong Deng
Jian-jun Sun
ObjD
86
263
0
17 Apr 2018
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
205
1,019
0
26 Mar 2018
1