FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021) - ltkong218/FastFlowNet
CRAFT: Cross-Attentional Flow Transformers for Robust Optical Flow This repository contains the source code for our optical flow estimation method: CRAFT: Cross-Attentional Flow Transformers for Robust Optical Flow Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Goh, Hongy...
项目地址:https://github.com/mansang127/LLA-Flow 一、背景: 成本量是通过两帧特征之间的点积运算计算出来的,表示像素之间的相关值或置信度。 PWC-Net计算有限范围内的部分成本量。这是一种应用从粗到精策略的典型方法,但该策略面临着在低分辨率下丢失小型快速移动物体的问题。RAFT构建完整的像素到像素匹配关系,...
[1] C. Bailer, B. Taetz, and D. Stricker. Flow Fields: Dense correspondence fields for highly accurate large displacement optical flow estimation. ICCV , pages 4015–4023, 2015. 3 , 7 [11] F. Gney and A. Geiger. Deep discrete flow. ACCV , pages 207–224, 2016. 3 , 6 ,...
Optical Flow Estimation for Spiking Camera As a bio-inspired sensor with high temporal resolution, the spiking camera has an enormous potential in real applications, especially for motion estimation in high-speed scenes. However, frame-based and event-based methods are not well suited to spike ...
In contrast, the decoder design of optical flow estimators often requires meticulous design for flow estimation. The disconnect between the encoder and decoder could negatively affect optical flow estimation. To address this issue, we propose a neural architecture search method,...
A deep equilibrium (DEQ) flow estimator directly models the flow as a path-independent, "infinite-level" fixed-point solving process. We propose to use this implicit framework to replace the existing recurrent approach to optical flow estimation. The DEQ flows converge faster, require less memory...
https://github.com/NVlabs/PWC-Net 期刊/会议 CVPR 关键词 2018 PWC-Net fuses several classic optical flow estimation techniques, including image pyramid, warping, and cost volume, in an end-to-end trainable deep neural networks for achieving state-of-the-art results. ...
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation 机译:LiteFlowNet:用于光流估计的轻量级卷积神经网络 获取原文 页面导航摘要 著录项 相似文献 摘要 FlowNet2 [14], the state-of-the-art convolutional neural network (CNN) for optical flow estimation, requires ov...
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