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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

14 September 2022
K. Prokofiev
V. Sovrasov
    VLM
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Papers citing "Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification"

5 / 5 papers shown
Title
Learning Object Focused Attention
Learning Object Focused Attention
Vivek Trivedy
A. Almalki
Longin Jan Latecki
31
0
0
10 Apr 2025
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
24
15
0
04 May 2023
Building Computationally Efficient and Well-Generalizing Person
  Re-Identification Models with Metric Learning
Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning
V. Sovrasov
Dmitry Sidnev
9
11
0
17 Mar 2020
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
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