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Regularizing Deep Networks by Modeling and Predicting Label Structure

Regularizing Deep Networks by Modeling and Predicting Label Structure

5 April 2018
Mohammadreza Mostajabi
Michael Maire
Gregory Shakhnarovich
    NoLa
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Papers citing "Regularizing Deep Networks by Modeling and Predicting Label Structure"

17 / 17 papers shown
Title
Unveiling the Black Box: Independent Functional Module Evaluation for
  Bird's-Eye-View Perception Model
Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model
Ludan Zhang
Xiaokang Ding
Yuqi Dai
Lei He
Keqiang Li
20
0
0
18 Sep 2024
LabelDistill: Label-guided Cross-modal Knowledge Distillation for
  Camera-based 3D Object Detection
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection
Sanmin Kim
Youngseok Kim
Sihwan Hwang
H. Jeong
Dongsuk Kum
32
4
0
14 Jul 2024
Label-guided Attention Distillation for Lane Segmentation
Label-guided Attention Distillation for Lane Segmentation
Zhikang Liu
Lanyun Zhu
16
15
0
04 Apr 2023
Label-Guided Auxiliary Training Improves 3D Object Detector
Label-Guided Auxiliary Training Improves 3D Object Detector
Yaomin Huang
Xinmei Liu
Yichen Zhu
Zhiyuan Xu
Chaomin Shen
Zhengping Che
Guixu Zhang
Yaxin Peng
Feifei Feng
Jian Tang
3DPC
12
12
0
24 Jul 2022
Intermediate Layers Matter in Momentum Contrastive Self Supervised
  Learning
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
11
29
0
27 Oct 2021
LGD: Label-guided Self-distillation for Object Detection
LGD: Label-guided Self-distillation for Object Detection
Peizhen Zhang
Zijian Kang
Tong Yang
X. Zhang
N. Zheng
Jian-jun Sun
ObjD
101
30
0
23 Sep 2021
Learning Energy-Based Approximate Inference Networks for Structured
  Applications in NLP
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
Lifu Tu
BDL
12
0
0
27 Aug 2021
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
Zhaoyi Yan
Ruimao Zhang
Hongzhi Zhang
Qingfu Zhang
W. Zuo
11
44
0
08 Jul 2021
Fourier Transform Approximation as an Auxiliary Task for Image
  Classification
Fourier Transform Approximation as an Auxiliary Task for Image Classification
Chen Liu
8
0
0
22 Jun 2021
Driver Glance Classification In-the-wild: Towards Generalization Across
  Domains and Subjects
Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects
Sandipan Banerjee
Ajjen Joshi
Jay Turcot
B. Reimer
Taniya Mishra
11
2
0
05 Dec 2020
LabelEnc: A New Intermediate Supervision Method for Object Detection
LabelEnc: A New Intermediate Supervision Method for Object Detection
Miao Hao
Yitao Liu
X. Zhang
Jian-jun Sun
14
25
0
07 Jul 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for
  Improved Generalization
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
Sang Michael Xie
Tengyu Ma
Percy Liang
14
13
0
29 Jun 2020
Target-Embedding Autoencoders for Supervised Representation Learning
Target-Embedding Autoencoders for Supervised Representation Learning
Daniel Jarrett
M. Schaar
OOD
6
15
0
23 Jan 2020
Perspective-Guided Convolution Networks for Crowd Counting
Perspective-Guided Convolution Networks for Crowd Counting
Zhaoyi Yan
Yuchen Yuan
W. Zuo
Xiao Tan
Yezhen Wang
Shilei Wen
Errui Ding
8
193
0
16 Sep 2019
Learning Rich Representations For Structured Visual Prediction Tasks
Learning Rich Representations For Structured Visual Prediction Tasks
Mohammadreza Mostajabi
MDE
17
0
0
30 Aug 2019
Task-Assisted Domain Adaptation with Anchor Tasks
Task-Assisted Domain Adaptation with Anchor Tasks
Zhizhong Li
Linjie Luo
Sergey Tulyakov
Qieyun Dai
Derek Hoiem
CVBM
13
0
0
16 Aug 2019
Adaptive Affinity Fields for Semantic Segmentation
Adaptive Affinity Fields for Semantic Segmentation
Tsung-Wei Ke
Jyh-Jing Hwang
Ziwei Liu
Stella X. Yu
9
191
0
27 Mar 2018
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