icl-ceil
Person_reID_baseline_pytorch
| icl-ceil | Person_reID_baseline_pytorch | |
|---|---|---|
| 1 | 2 | |
| 81 | 3,960 | |
| - | - | |
| 1.7 | 8.1 | |
| about 1 year ago | 25 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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icl-ceil
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A New AI Research Proposes Compositional Exemplars for In-context Learning (CEIL): A Novel Approach That Uses Determinantal Point Process (DPP) for More Efficient In-context Learning
Quick Read: https://www.marktechpost.com/2023/02/21/a-new-ai-research-proposes-compositional-exemplars-for-in-context-learning-ceil-a-novel-approach-that-uses-determinantal-point-process-dpp-for-more-efficient-in-context-learning/ Paper: https://arxiv.org/pdf/2302.05698.pdf Github: https://github.com/HKUNLP/icl-ceil
Person_reID_baseline_pytorch
- FLiP Stack Weekly for 21 Jan 2023
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Computer Vision for goods recognition
And there are two good libraries with training pipelines: https://github.com/layumi/Person_reID_baseline_pytorch https://github.com/OML-Team/open-metric-learning
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