spider-unicdseg

(ICML 2024) Spider: A Unified Framework for Context-dependent Concept Segmentation

https://github.com/xiaoqi-zhao-dlut/spider-unicdseg

Science Score: 54.0%

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
Links to: arxiv.org, scholar.google
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (5.6%) to scientific vocabulary

Last synced: 8 months ago · JSON representation ·

Repository

(ICML 2024) Spider: A Unified Framework for Context-dependent Concept Segmentation

Basic Info

Host: GitHub
Owner: Xiaoqi-Zhao-DLUT
Language: Python
Default Branch: main
Homepage:
Size: 8.39 MB

Statistics

Stars: 58
Watchers: 2
Forks: 6
Open Issues: 5
Releases: 1

Created almost 2 years ago · Last pushed about 1 year ago

Metadata Files

Readme Citation

Spider: A Unified Framework for Context-dependent Concept Segmentation

ICML, 2024
Xiaoqi Zhao · Youwei Pang . Wei Ji . Baicheng Sheng . Jiaming Zuo · Lihe Zhang · Huchuan Lu

Context-independent (CI) Concept vs. Context-dependent (CD) Concept

CD Concept Segmentation Survey Paper

(IJCV 2024) Towards Diverse Binary Segmentation via A Simple yet General Gated Network

Unified 8 CD Concept Segmentation Tasks

Spider: UniCDSeg Framework (You only train and infer once! 100% Unified Parameters.)

Performance

Potential

Continual/Zero-shot/Incremental Zero-shot learning

In-Context Learning

Datasets

DUTS (SOD): Google Drive
COD10K (COD): Google Drive
SBU (SD): Google Drive
Trans10K (TOS): Trans10K Website
Five datasets (CPS): Google Drive
COVID-19 data (COD): Google Drive
BUSI (BLS): Google Drive
ISIC18 (SLS): Google Drive

Trained Models

Spider-ConvNext-B Google Drive
Spider-ConvNext-L GitHub Release
Spider-Swin-B Google Drive
Spider-Swin-L GitHub Release

Prediction Maps

Spider-Swin-B Google Drive
Spider-Swin-L Google Drive
Spider-ConvNeXt-B Google Drive
Spider-ConvNeXt-L Google Drive

Evaluation Tools

https://github.com/Xiaoqi-Zhao-DLUT/PySegMetric_EvalToolkit

To Do List

[x] Release data sets.
[x] Release model code.
[x] Release model weights.
[x] Release model prediction maps.

Citation

If you think Spider-UniCDSeg codebase are useful for your research, please consider referring us:

bibtex @inproceedings{Spider, title={Spider: A Unified Framework for Context-dependent Concept Segmentation}, author={Zhao, Xiaoqi and Pang, Youwei and Ji, Wei and Sheng, Baicheng and Zuo, Jiaming and Zhang, Lihe and Lu, Huchuan}, booktitle={ICML}, year={2024}

Owner

Name: 赵骁骐
Login: Xiaoqi-Zhao-DLUT
Kind: user
Location: Dalian,Liaoning,China
Company: Dalian University of Technology

Website: https://xiaoqi-zhao-dlut.github.io/
Repositories: 4
Profile: https://github.com/Xiaoqi-Zhao-DLUT

Computer Vision.

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
message: If you use this software, please cite it using the metadata from this file.
title: "Spider: A Unified Framework for Context-dependent Concept Understanding"
keywords:
  - Context-dependent Concept
  - Unified Framework
url: 'https://github.com/Xiaoqi-Zhao-DLUT/Spider-UniCDSeg'
preferred-citation:
  type: conference-paper
  title: 'Spider: A Unified Framework for Context-dependent Concept Understanding'
  authors:
    - given-names: Xiaoqi
      family-names: Zhao
      affiliation: Dalian University of Technology
    - given-names: Youwei
      family-names: Pang
      affiliation: Dalian University of Technology
    - given-names: Wei
      family-names: Ji
    - given-names: Baicheng
      family-names: Sheng
      affiliation: Dalian University of Technology
    - given-names: Jiaming
      family-names: Zuo
    - given-names: Lihe
      family-names: Zhang
      affiliation: Dalian University of Technology
    - given-names: Huchuan
      family-names: Lu
      affiliation: Dalian University of Technology
  conference:
      name: "Forty-first International Conference on Machine Learning"
  year: 2024

GitHub Events

Total

Issues event: 4
Watch event: 109
Issue comment event: 4
Push event: 1
Fork event: 7

Last Year

Issues event: 4
Watch event: 109
Issue comment event: 4
Push event: 1
Fork event: 7

Issues and Pull Requests

Last synced: 8 months ago

All Time

Total issues: 3
Total pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 3
Total pull request authors: 0
Average comments per issue: 0.0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 3
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 3
Pull request authors: 0
Average comments per issue: 0.0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

lonelyqian (2)
yfhdm (1)
tg-Flipped (1)
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LJ-Zhang (1)
Open2012 (1)