#Video-object-segmentation

Showing 13 of 13 repositories tagged #video-object-segmentation, ranked by stars

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

Score

[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Tracking-Anything-with-DEVA

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation

[ECCV'22 Oral] Towards Grand Unification of Object Tracking

EfficientSAM3 compresses SAM3 into lightweight, edge-friendly models via progressive knowledge distillation for fast promptable concept segmentation and tracking.

[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

The official implementation of CFBI(+): Collaborative Video Object Segmentation by (Multi-scale) Foreground-Background Integration.

C++ Implementation of SiamMask

[AAAI22 Oral] Reliable Propagation-Correction Modulation for Video Object Segmentation

[CVPR 2022] Per-Clip Video Object Segmentation

Score

★ 63 ⑂ 6 —

Python