Overview

RS Paper Hub is an automated system that collects, filters, and categorizes remote sensing papers from arXiv. It helps researchers stay updated with the latest developments in remote sensing, vision-language models, and AI agents.

The project provides multiple ways to access papers: a web interface, RSS feeds, and direct JSON downloads. All papers are automatically tagged with categories, tasks, and VLM-related keywords.

Features

Web Viewer Guide

The web interface provides powerful tools for exploring and filtering papers:

Four-Tab Data Source Switching

Use the tabs at the top to switch between: All Papers, UAV papers, Vision-Language Model papers, and Agent papers. The selection is preserved in the URL for sharing.

Search & Filtering

• Search by title, author, or abstract with exact phrase or fuzzy (split-word) matching
• Filter by year, month, paper type, category, VLM keywords, and task tags
• Quick filters for "Today" and "This Week" to see recently published papers
• Toggle "With Code" to show only papers with available code

Clickable Tag Filtering

• Click any tag on a paper card (date, type, category, task, VLM keyword, etc.) to filter all papers by that value
• Click different tags to stack filters progressively — e.g., click "Computer Vision" then "Classification" to find papers matching both
• Click the same tag again to remove that filter; active tags are highlighted with a border

Charts & Visualization

Click "Charts" to view distribution visualizations. Click on bars to filter by that category. Multiple selections are supported.

Paper Actions

• Click on paper title to open the arXiv page
• Click on abstract to expand/collapse
• Collect papers to your personal collection
• Export filtered results or collection as BibTeX
• View BibTeX citation or open in Google Scholar

Recent Papers Panel

Click the "NEW PAPERS" button on the right side to view papers published today or this week.

RSS & Zotero

RS Paper Hub provides RSS feeds that can be used with any RSS reader or integrated with Zotero:

Available RSS Feeds

• All Papers: output/feed.xml
• VLM Papers: output/feed_vlm.xml
• Agent Papers: output/feed_agent.xml
• UAV Papers: output/feed_uav.xml

Using with Zotero

In Zotero, go to File → New Feed, and paste one of the RSS URLs above. Zotero will automatically fetch new papers as they are added.

Direct JSON Download

For programmatic access, JSON files are also available:

• output/papers.json - All papers
• output/papers_vlm.json - VLM papers
• output/papers_agent.json - Agent papers

Pipeline

The data processing pipeline consists of 11 steps:

• Fetch arXiv: Query the arXiv API for recent submissions in relevant categories
• Filter RS: Apply keyword-based filtering to identify remote sensing papers
• Extract Metadata: Parse paper titles, abstracts, authors, and dates
• VLM Detection: Use regex patterns to identify vision-language model related papers
• Agent Detection: Identify AI agent related papers in remote sensing
• Task Tagging: Classify papers into 11 task categories based on content
• Classification: Categorize as Method, Survey, or Dataset
• Generate Feeds: Create RSS feeds and JSON outputs
• Deploy: Update the website with new data

CLI Reference

Run the pipeline using Python:

python main.py [--category CAT] [--max-results N] [--output DIR]

Arguments

Examples

# Fetch latest papers
python main.py

# Fetch with custom category and limit
python main.py --category eess.IV --max-results 500

# Dry run to see what would be fetched
python main.py --dry-run

# Verbose output
python main.py --verbose

Output Schema

Each paper entry in the JSON output contains the following fields:

Task Tags

Papers are automatically tagged with one or more of the following 11 task types:

Submit Group

You can create a custom paper group to curate and share a reading list with the community. Groups appear in the "All Groups" dropdown on the main page.

1. Prepare your paper list

Create a JSON file containing an array of arXiv paper links. You can use the "Export Group" button in the Export dialog (By author). Or create it manually — each link should be a full arXiv abstract URL:

[
  "http://arxiv.org/abs/2401.12345v1",
  "http://arxiv.org/abs/2401.67890v2"
]

2. Register your group

Add an entry to groups/index.json with your group's meta

[
  {
    "key": "my-group",
    "label": "My Research Group",
    "label_zh": "我的研究组",
    "file": "my-group.json"
  }
]

3. Submit a Pull Request

Fork the repository, add your JSON file to the groups/ directory, update groups/index.json, and submit a Pull Request. Once merged, your group will appear in the dropdown for all users.