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Elucidating image-to-set prediction: An analysis of models, losses and
  datasets

Elucidating image-to-set prediction: An analysis of models, losses and datasets

11 April 2019
Luis Villaseñor-Pineda
Amaia Salvador
M. Drozdzal
Adriana Romero
ArXivPDFHTML

Papers citing "Elucidating image-to-set prediction: An analysis of models, losses and datasets"

6 / 6 papers shown
Title
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia
N. Jha
OCL
46
1
0
02 Feb 2024
Learning to Substitute Ingredients in Recipes
Learning to Substitute Ingredients in Recipes
Bahare Fatemi
Quentin Duval
Rohit Girdhar
M. Drozdzal
Adriana Romero Soriano
20
7
0
15 Feb 2023
DATE: Dual Assignment for End-to-End Fully Convolutional Object
  Detection
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection
Yiqun Chen
Qiang Chen
Qinghao Hu
Jian Cheng
18
7
0
25 Nov 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image
  Classification
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
R. Abdelfattah
Xin Zhang
Zhenyao Wu
Xinyi Wu
Xiaofeng Wang
Song Wang
VLM
28
6
0
22 Aug 2022
Multi-Label Learning from Single Positive Labels
Multi-Label Learning from Single Positive Labels
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
16
108
0
17 Jun 2021
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
60
12,660
0
26 May 2020
1