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ML-Decoder: Scalable and Versatile Classification Head

ML-Decoder: Scalable and Versatile Classification Head

25 November 2021
T. Ridnik
Gilad Sharir
Avi Ben-Cohen
Emanuel Ben-Baruch
Asaf Noy
    VLM
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Papers citing "ML-Decoder: Scalable and Versatile Classification Head"

32 / 32 papers shown
Title
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
46
38
0
21 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
230
489
0
01 Oct 2021
Discriminative Region-based Multi-Label Zero-Shot Learning
Discriminative Region-based Multi-Label Zero-Shot Learning
Sanath Narayan
Akshita Gupta
Salman Khan
Fahad Shahbaz Khan
Ling Shao
M. Shah
VLM
52
43
0
20 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
39
135
0
05 Aug 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
52
189
0
22 Jul 2021
Semantic Diversity Learning for Zero-Shot Multi-label Classification
Semantic Diversity Learning for Zero-Shot Multi-label Classification
Avi Ben-Cohen
Nadav Zamir
Emanuel Ben-Baruch
Itamar Friedman
Lihi Zelnik-Manor
VLM
24
30
0
12 May 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
273
692
0
22 Apr 2021
Asymmetric Loss For Multi-Label Classification
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
74
528
0
29 Sep 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed
  Datasets
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
Tong Wu
Qingqiu Huang
Ziwei Liu
Yu Wang
Dahua Lin
43
228
0
19 Jul 2020
Learning to Discover Multi-Class Attentional Regions for Multi-Label
  Image Recognition
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
Bin-Bin Gao
Hong-Yu Zhou
24
114
0
03 Jul 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
249
12,847
0
26 May 2020
TResNet: High Performance GPU-Dedicated Architecture
TResNet: High Performance GPU-Dedicated Architecture
T. Ridnik
Hussam Lawen
Asaf Noy
Emanuel Ben-Baruch
Gilad Sharir
Itamar Friedman
OOD
50
211
0
30 Mar 2020
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label
  Classification
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
Renchun You
Zhiyao Guo
Lei Cui
Xiang Long
Sid Ying-Ze Bao
Shilei Wen
37
184
0
17 Dec 2019
Extreme Classification in Log Memory using Count-Min Sketch: A Case
  Study of Amazon Search with 50M Products
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
Tharun Medini
Qixuan Huang
Yiqiu Wang
Vijai Mohan
Anshumali Shrivastava
36
70
0
28 Oct 2019
Learning Semantic-Specific Graph Representation for Multi-Label Image
  Recognition
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Tianshui Chen
Muxi Xu
X. Hui
Hefeng Wu
Liang Lin
36
287
0
20 Aug 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
72
17,950
0
28 May 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
51
996
0
07 Apr 2019
Learning a Deep ConvNet for Multi-label Classification with Partial
  Labels
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Thibaut Durand
Nazanin Mehrasa
Greg Mori
SSL
38
228
0
26 Feb 2019
Multi-Label Image Classification via Knowledge Distillation from
  Weakly-Supervised Detection
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
Yongcheng Liu
Lu Sheng
Jing Shao
Junjie Yan
Shiming Xiang
Chunhong Pan
WSOD
VLM
36
114
0
16 Sep 2018
Bilinear Attention Networks
Bilinear Attention Networks
Jin-Hwa Kim
Jaehyun Jun
Byoung-Tak Zhang
AIMat
61
871
0
21 May 2018
Multi-label Image Recognition by Recurrently Discovering Attentional
  Regions
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
Zhouxia Wang
Tianshui Chen
Guanbin Li
Ruijia Xu
Liang Lin
45
290
0
08 Nov 2017
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
56
1,294
0
03 Nov 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
93
2,817
0
15 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
360
129,831
0
12 Jun 2017
Deep Extreme Multi-label Learning
Deep Extreme Multi-label Learning
Wenjie Zhang
Junchi Yan
Xiangfeng Wang
H. Zha
26
121
0
12 Apr 2017
Zero-Shot Learning -- The Good, the Bad and the Ugly
Zero-Shot Learning -- The Good, the Bad and the Ugly
Yongqin Xian
Bernt Schiele
Zeynep Akata
47
834
0
13 Mar 2017
CYCLADES: Conflict-free Asynchronous Machine Learning
CYCLADES: Conflict-free Asynchronous Machine Learning
Yang Zhang
Maximilian Lam
Stephen Tu
Dimitris Papailiopoulos
Ce Zhang
Michael I. Jordan
M. Shah
Christopher Ré
Benjamin Recht
31
108
0
31 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Exploit Bounding Box Annotations for Multi-label Object Recognition
Exploit Bounding Box Annotations for Multi-label Object Recognition
Hao Yang
Qiufeng Wang
Yu Zhang
Bin-Bin Gao
Jianxin Wu
Jianfei Cai
42
164
0
22 Apr 2015
word2vec Explained: deriving Mikolov et al.'s negative-sampling
  word-embedding method
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Yoav Goldberg
Omer Levy
SSL
46
1,609
0
15 Feb 2014
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi
Tomas Mikolov
Samy Bengio
Y. Singer
Jonathon Shlens
Andrea Frome
G. Corrado
J. Dean
VLM
51
936
0
19 Dec 2013
Large-scale Multi-label Learning with Missing Labels
Large-scale Multi-label Learning with Missing Labels
Hsiang-Fu Yu
Prateek Jain
Purushottam Kar
Inderjit S. Dhillon
MQ
66
492
0
18 Jul 2013
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