Official implementation of Pixel-Level Bijective Matching for Video Object Segmentation

Last update: Dec 14, 2022

Overview

BMVOS

This is the official implementation of Pixel-Level Bijective Matching for Video Object Segmentation, to appear in WACV 2022.

@article{cho2021pixel,
  title={Pixel-Level Bijective Matching for Video Object Segmentation},
  author={Cho, Suhwan and Lee, Heansung and Kim, Minjung and Jang, Sungjun and Lee, Sangyoun},
  journal={arXiv preprint arXiv:2110.01644},
  year={2021}
}

Benchmark Results

Architecture

Download

[pre-computed results]

[pre-trained model on DAVIS]

[pre-trained model on YouTube-VOS]

Usage

Define the paths in 'local_config.py'.
Select the pre-trained model and testing dataset by modifying 'main_runfile.py'.
Run BMVOS!

python main_runfile.py

Note

Code and models are only available for non-commercial research purposes.

If you have any questions, please feel free to contact me :)

E-mail: [email protected]

Owner

Suhwan Cho

M.S/Ph.D. Student in Yonsei Univ.

GitHub Repository

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

ELECTRA Introduction ELECTRA is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using

2.1k Dec 28, 2022

[CVPR'21] Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild

IVOS-W Paper Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild Zhaoyun Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanli

38 Dec 12, 2022

existing and custom freqtrade strategies supporting the new hyperstrategy format.

freqtrade-strategies Description Existing and self-developed strategies, rewritten to support the new HyperStrategy format from the freqtrade-develop

39 Aug 20, 2021

Extension to fastai for volumetric medical data

FAIMED 3D use fastai to quickly train fully three-dimensional models on radiological data Classification from faimed3d.all import * Load data in vari

26 Aug 22, 2022

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020 Oral) Figure: Face image editing controlled via style images and segmenta

579 Dec 30, 2022

[TIP 2020] Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion

Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion Code for Multi-Temporal Scene Classification and Scene Ch

33 Dec 12, 2022

PyG (PyTorch Geometric) - A library built upon PyTorch to easily write and train Graph Neural Networks (GNNs)

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.

16.5k Jan 08, 2023

ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image.

Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Introduction This repository contains the PyTorch implem

25 Nov 09, 2022

Static Features Classifier - A static features classifier for Point-Could clusters using an Attention-RNN model

Static Features Classifier This is a static features classifier for Point-Could

1 Jan 25, 2022

Depth-Aware Video Frame Interpolation (CVPR 2019)

DAIN (Depth-Aware Video Frame Interpolation) Project | Paper Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang IEEE C

7.7k Dec 31, 2022

The code repository for "PyCIL: A Python Toolbox for Class-Incremental Learning" in PyTorch.

PyCIL: A Python Toolbox for Class-Incremental Learning Introduction • Methods Reproduced • Reproduced Results • How To Use • License • Acknowledgement

258 Dec 31, 2022

Generalized and Efficient Blackbox Optimization System.

OpenBox Doc | OpenBox中文文档 OpenBox: Generalized and Efficient Blackbox Optimization System OpenBox is an efficient and generalized blackbox optimizatio

238 Dec 29, 2022

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks This is our Pytorch implementation for the paper: Zirui Zhu, Chen Gao, Xu C

3 Dec 30, 2022

Cross-modal Retrieval using Transformer Encoder Reasoning Networks (TERN). With use of Metric Learning and FAISS for fast similarity search on GPU

Cross-modal Retrieval using Transformer Encoder Reasoning Networks This project reimplements the idea from "Transformer Reasoning Network for Image-Te

5 Nov 05, 2022