ResearchTrend.AI
Composite Learning for Robust and Effective Dense Predictions

Composite Learning for Robust and Effective Dense Predictions

Menelaos Kanakis
Thomas E. Huang
David Brüggemann
F. I. F. Richard Yu
Luc Van Gool
    SSL
ArXivPDFHTML

Papers citing "Composite Learning for Robust and Effective Dense Predictions"

7 / 7 papers shown
Title
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
Hanrong Ye
Dan Xu
DiffM
52
4
0
22 Mar 2024
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving
Thomas E. Huang
Yifan Liu
Luc Van Gool
Fisher Yu
19
5
0
08 Sep 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
Hanrong Ye
Dan Xu
MoE
24
26
0
28 Jul 2023
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,367
0
09 Mar 2020
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
190
3,516
0
20 Aug 2019
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,705
0
06 Jun 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
435
15,595
0
02 Nov 2015