This repo contains fixes for MaskTrackRCNN paper to make it compatible on PyTorch 1.6+.
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Updated
Aug 23, 2023 - Python
This repo contains fixes for MaskTrackRCNN paper to make it compatible on PyTorch 1.6+.
Code release for "BoxVIS: Video Instance Segmentation with Box Annotation"
CenterMask is powered with MaskTrackRCNN tracking algorithm for video instance segmentation.
Dynamic MNIST digit sequences for video instance segmentation with optical flow data.
Open-vocabulary Video Instance Segmentation Codebase built upon Detectron2, which is really easy to use.
Code release for "MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos"(CVPR2023)
Implementation of joint construction of Mask/BBox heads in QDTrack-mots for joint training research
A video instance segmentation codebase based on OpenMMLab projects.
Learning Better Video Query with SAM for Video Instance Segmentation (TCSVT 2024)
This repository captures our work on Video Instance Segmentation, as a part of our CS 534 AI course project, under Prof. Jacob Whitehill. We describe and analyze the experimental trials performed on the baseline ([CVPRW 2021] - Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation).
The repository for TLTM: Two-Level Temporal Relation Model for Online Video Instance Segmentation.
[CVPR 2021] Youtube-VIS 2021 3rd place, [CVPR 2020] winner DAVIS 2020. Code for mask selection based methods.
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation
UNOFFICIAL implement of MaskTrackRCNN for video instance segmentation via mmdetection 2.11.0.
DVIS: Decoupled Video Instance Segmentation Framework
Code release for "STMask: Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation"(CVPR2021)
[CVPRW 2021] - Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
Code release for "UniVS: Unified and Universal Video Segmentation with Prompts as Queries" (CVPR2024)
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