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Found 11 papers, 0 papers with code
NCU1415 at ROCLING 2022 Shared Task: A light-weight transformer-based approach for Biomedical Name Entity Recognition
Name Entity Recognition (NER) is a very important and basic task in traditional NLP tasks.
Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector
To the best of our knowledge, we are the first to propose DM-based naturalistic adversarial patch generation for object detectors.
A Novel Self-Knowledge Distillation Approach with Siamese Representation Learning for Action Recognition
Self-knowledge distillation, the special case of knowledge distillation, has been proposed to remove the large teacher network training process while preserving the student's performance.
Self-Supervised Learning via multi-Transformation Classification for Action Recognition
We use the learned models in pretext tasks as the pre-trained models and fine-tune them to recognize human actions in the downstream task.
Complex Matrix Factorization for Face Recognition
This work developed novel complex matrix factorization methods for face recognition; the methods were complex matrix factorization (CMF), sparse complex matrix factorization (SpaCMF), and graph complex matrix factorization (GraCMF).
