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"

20 / 20 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
60
1
0
21 Jun 2024
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
12
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
21
8
0
08 Jul 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
19
28
0
14 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
13
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
18
3
0
25 Jan 2023
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
8
12
0
02 Nov 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
8
8
0
14 Sep 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
21
11
0
07 Apr 2022
Cyclical Focal Loss
Cyclical Focal Loss
L. Smith
27
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
14
11
0
18 Jan 2022
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
95
125
0
03 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
20
29
0
24 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
10
34
0
31 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
154
676
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
10
59
0
19 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
19
26
0
12 Mar 2021
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
210
1,391
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
79
259
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
191
1,007
0
26 Mar 2018
1