DistractFlow: Improving Optical Flow Estimation via Realistic
Distractions and Pseudo-Labeling

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling

24 March 2023

Risheek Garrepalli

Fatih Porikli

Papers citing "DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling"

5 / 5 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
Deep Video Codec Control for Vision Models Christoph Reich Biplob K. Debnath Deep Patel Tim Prangemeier Daniel Cremers S. Chakradhar 16 1 0 30 Aug 2023
Disentangling Architecture and Training for Optical Flow Deqing Sun Charles Herrmann F. Reda Michael Rubinstein David Fleet William T. Freeman 3DPC OOD 53 33 0 21 Mar 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 158 401 0 12 Oct 2021
High-Resolution Optical Flow from 1D Attention and Correlation Haofei Xu Jiaolong Yang Jianfei Cai Juyong Zhang Xin Tong 73 72 0 28 Apr 2021