arXiv:2008.09164
공식 코드 · Papers with Code
PyTorch Metric Learning
원문 초록
Deep metric learning algorithms have a wide variety of applications, but implementing these algorithms can be tedious and time consuming. PyTorch Metric Learning is an open source library that aims to remove this barrier for both researchers and practitioners. The modular and flexible design allows users to easily try out different combinations of algorithms in their existing code. It also comes with complete train/test workflows, for users who want results fast. Code and documentation is available at https://www.github.com/KevinMusgrave/pytorch-metric-learning.
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Why and How: Knowledge-Guided Learning for Cross-Spectral Image Patch Matching
AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking
Global Ground Metric Learning with Applications to scRNA data
Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering
DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers
Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content
토론
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