SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
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Updated
Mar 26, 2021 - Jupyter Notebook
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers
[CVPR 2021] Youtube-VIS 2021 3rd place, [CVPR 2020] winner DAVIS 2020. Code for mask selection based methods.
UNOFFICIAL implement of MaskTrackRCNN for video instance segmentation via mmdetection 2.11.0.
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
CenterMask is powered with MaskTrackRCNN tracking algorithm for video instance segmentation.
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
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).
SeqFormer: Sequential Transformer for Video Instance Segmentation (ECCV 2022 Oral)
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight
A video instance segmentation codebase based on OpenMMLab projects.
Temporally Efficient Vision Transformer for Video Instance Segmentation, CVPR 2022, Oral
Implementation of joint construction of Mask/BBox heads in QDTrack-mots for joint training research
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
This repo contains fixes for MaskTrackRCNN paper to make it compatible on PyTorch 1.6+.
Dynamic MNIST digit sequences for video instance segmentation with optical flow data.
The repository for TLTM: Two-Level Temporal Relation Model for Online Video Instance Segmentation.
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