v0.2.0

What's Changed

This version of Ianvs supports the following functions of unstructured lifelong learning:

• Support lifelong learning throughout the entire lifecycle, including task definition, task assignment, unknown task recognition, and unknown task handling, among other modules, with each module being decoupled.
  • Support unknown task recognition and provide corresponding usage examples based on semantic segmentation tasks in this example.
  • Support multi-task joint inference and provide corresponding usage examples based on object detection tasks in this example.
• Provide classic lifelong learning testing metrics, and support for visualizing test results.
  • Support lifelong learning system metrics such as BWT and FWT.
  • Support visualization of lifelong learning results.
• Provide real-world datasets and rich examples for lifelong learning testing, to better evaluate the effectiveness of lifelong learning algorithms in real environments.
  • Provide cloud-robotics datasets in this website.
  • Provide cloud-robotics semantic segmentation examples in this example.

The detailed pull requests are as follows:

• Lifelong learning feature and example by @JimmyYang20 in #28
• Edge Intelligence Benchmark for Edge-Cloud Collaborative Lifelong Detection by @iszhyang in #39
• Unknown Task Recognition Algorithm Reproduction by @Frank-lilinjie in #42
• Multi-task Joint Inference by @shifan-Z in #44
• Cloud-Robotic AI Benchmarking for Edge-cloud Collaborative Lifelong Learning by @hsj576 in #65
• Lifelong learning system metrics BWT and FWT by @hsj576 in #67
• Proposal for Cloud-robotics dataset by @hsj576 in #69

New Contributors

• @nailtu30 made their first contribution in #40
• @shifan-Z made their first contribution in #44
• @Sai-Suraj-27 made their first contribution in #49

Full Changelog: v0.1.0...v0.2.0