Composite Learning for Robust and Effective Dense Predictions

Composite Learning for Robust and Effective Dense Predictions

13 October 2022

Menelaos Kanakis

Thomas E. Huang

David Brüggemann

F. I. F. Richard Yu

Luc Van Gool

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 Hanrong Ye Dan Xu DiffM 52 4 0 22 Mar 2024
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving Thomas E. Huang Yifan Liu Luc Van Gool Fisher Yu 21 5 0 08 Sep 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye Dan Xu MoE 34 26 0 28 Jul 2023
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020
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 192 3,527 0 20 Aug 2019
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
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,637 0 02 Nov 2015