atlas

Research map / Video / Video segmentation and tracking

Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation

CVPR 2020 · Video › Video segmentation and tracking · approach: Mask propagation for unsupervised video segmentation · 168 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the MaskProp mask-propagation branch instead of FlowNet2 optical-flow propagation (ablation)MaskProp · YouTube-VIS validationmAP: 31.4 -> 46.6Helped
Add the MaskProp mask-propagation branch instead of the MaskTrack R-CNN tracking branch (ablation)MaskProp · YouTube-VIS validationmAP: 36.9 -> 46.6Helped
Add high-resolution mask refinement (ablation)MaskProp · YouTube-VIS validationmAP: 1.9%Helped
Use stronger frame-level instance-mask backbones (ablation)MaskProp · YouTube-VIS validationmAP: 40.0 -> 42.5 -> 44.3 -> 46.6Helped
Add OpenImages pre-training to ImageNet and COCO pre-training (ablation)MaskProp · YouTube-VIS validationmAP: 46.6 -> 50.0Helped
Propagate instance masks across a 13-frame clip (ablation)MaskProp · YouTube-VIS validationmAPHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy