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We propose MFT -- Multi-Flow dense Tracker -- a novel method for dense, pixel-level, long-term tracking.
Determining optical flow
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Object segmentation by long term analysis of point trajectories
Thomas Brox and Jitendra Malik · 2010
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Dense point trajectories by gpu-accelerated large displacement optical flow
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From optical flow to dense long term correspondences
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Dense long-term motion estimation via statistical multi-step flow
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Robust optical flow integration
Tomas Crivelli, Matthieu Fradet, Pierre-Henri Conze, Philippe Robert, and Patrick Pérez · 2014
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Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazırbaş, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Moritz Menze and Andreas Geiger · 2015
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Pierre-Henri Conze, Philippe Robert, Tomas Crivelli, and Luce Morin · 2016
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
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A benchmark dataset and evaluation methodology for video object segmentation
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Quo vadis, action recognition? a new model and the kinetics dataset
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Flownet 2.0: Evolution of optical flow estimation with deep networks
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Better dense trajectories by motion in videos
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The 2017 davis challenge on video object segmentation
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Neural dense non-rigid structure from motion with latent space constraints
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RAFT: Recurrent all-pairs field transforms for optical flow
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Maskflownet: Asymmetric feature matching with learnable occlusion mask
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Oiflow: Occlusion-inpainting optical flow estimation by unsupervised learning
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Uncertainty estimates and multi-hypotheses networks for optical flow
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Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation
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PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Janf Kautz · 2018
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Youtube-vos: A large-scale video object segmentation benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang · 2018
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A short note on the kinetics-700 human action dataset
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Atom: Accurate tracking by overlap maximization
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TAP-Vid: A benchmark for tracking any point in a video
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Directtracker: 3d multi-object tracking using direct image alignment and photometric bundle adjustment
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Kubric: A scalable dataset generator
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Particle video revisited: Tracking through occlusions using point trajectories
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Neuralmarker: A framework for learning general marker correspondence
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Flowformer: A transformer architecture for optical flow
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Banmo: Building animatable 3d neural models from many casual videos
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Parallel multiscale context-based edge-preserving optical flow estimation with occlusion detection
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Refign: Align and refine for adaptation of semantic segmentation to adverse conditions
David Brüggemann, Christos Sakaridis, Prune Truong, and Luc Van Gool · 2023
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TAPIR: Tracking any point with per-frame initialization and temporal refinement
Carl Doersch, Yi Yang, Mel Vecerik, Dilara Gokay, Ankush Gupta, Yusuf Aytar, Joao Carreira, and Andrew Zisserman · 2023
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CoTracker: It is better to track together
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Tracking everything everywhere all at once
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, and Noah Snavely · 2023
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