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2006.15864
Cited By
Deep Ordinal Regression with Label Diversity
29 June 2020
Axel Berg
Magnus Oskarsson
Mark O'Connor
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Papers citing
"Deep Ordinal Regression with Label Diversity"
20 / 20 papers shown
Title
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
Ashutosh Chaubey
Xulang Guan
Mohammad Soleymani
CVBM
MLLM
VLM
71
0
0
09 Apr 2025
IT
3
^3
3
: Idempotent Test-Time Training
N. Durasov
Assaf Shocher
Doruk Öner
Gal Chechik
Alexei A. Efros
Pascal Fua
OOD
VLM
26
1
0
05 Oct 2024
FaceXFormer: A Unified Transformer for Facial Analysis
Kartik Narayan
VS Vibashan
Rama Chellappa
Vishal M. Patel
ViT
59
12
0
19 Mar 2024
Faceptor: A Generalist Model for Face Perception
Lixiong Qin
Mei Wang
Xuannan Liu
Yuhang Zhang
Weihong Deng
Xiaoshuai Song
Weiran Xu
Weihong Deng
CVBM
32
6
0
14 Mar 2024
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
Patrick Wienholt
Alexander Hermans
Firas Khader
B. Puladi
Bastian Leibe
Christiane Kuhl
S. Nebelung
Daniel Truhn
15
0
0
08 Feb 2024
MiVOLO: Multi-input Transformer for Age and Gender Estimation
Maksim Kuprashevich
Irina Tolstykh
16
32
0
10 Jul 2023
A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
Jakub Paplhám
Vojtech Franc
14
9
0
10 Jul 2023
TAA-GCN: A Temporally Aware Adaptive Graph Convolutional Network for Age Estimation
Matthew Korban
Peter Youngs
Scott T. Acton
3DH
11
21
0
15 May 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
Weihang Dai
X. Li
Kwang-Ting Cheng
BDL
UQCV
25
14
0
15 Feb 2023
Label Encoding for Regression Networks
Deval Shah
Zihui Xue
Tor M. Aamodt
11
11
0
04 Dec 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
N. Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
UQCV
25
10
0
21 Nov 2022
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods
Alex Contarino
Christine M. Schubert-Kabban
Chancellor Johnstone
Fairul Mohd-Zaid
36
3
0
07 Oct 2022
Moving Window Regression: A Novel Approach to Ordinal Regression
Nyeong-Ho Shin
Seon-Ho Lee
ChangHwan Kim
19
61
0
24 Mar 2022
CT-SAT: Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou
Zhaoyi Liu
Bo Kang
Yun Wang
Dick Botteldooren
ViT
24
5
0
22 Mar 2022
ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction
Md. Ahsanul Kabir
M. Hasan
Aritra Mandal
Daniel Tunkelang
Zhe Wu
DML
9
2
0
13 Mar 2022
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities
Uri Shaham
Igal Zaidman
Jonathan Svirsky
OOD
6
7
0
15 Nov 2020
FOSS: Multi-Person Age Estimation with Focusing on Objects and Still Seeing Surroundings
Masakazu Yoshimura
S. Ogata
6
1
0
15 Oct 2020
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
Bin-Bin Gao
Xin-Xin Liu
Hong-Yu Zhou
Jianxin Wu
Xin Geng
CVBM
26
16
0
03 Jul 2020
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
182
1,707
0
06 Jun 2018
Designing Deep Networks for Surface Normal Estimation
X. Wang
David Fouhey
Abhinav Gupta
3DV
SSL
156
353
0
18 Nov 2014
1