DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction

DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction

2 March 2023

Shubhankar Borse

Risheek Garrepalli

Fatih Porikli

Papers citing "DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction"

7 / 7 papers shown

Title
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation R. Yasarla H. Cai Jisoo Jeong Y. Shi Risheek Garrepalli Fatih Porikli MDE 57 16 0 17 Jan 2025
Oracle Analysis of Representations for Deep Open Set Detection Risheek Garrepalli AAML 51 5 0 22 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 133 214 0 19 Mar 2020
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation Jinyu Yang Weizhi An Sheng Wang Xinliang Zhu Chao-chao Yan Junzhou Huang 57 109 0 10 Mar 2020
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos Hualie Jiang Laiyan Ding Zhenglong Sun Rui Huang MDE 90 20 0 03 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 184 3,480 0 20 Aug 2019