Search Results for author:
Found 3 papers, 1 papers with code
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection
Open-world object detection (OWOD), as a more general and challenging goal, requires the model trained from data on known objects to detect both known and unknown objects and incrementally learn to identify these unknown objects.
Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning
With this method, Yuan 1. 0, the current largest singleton language model with 245B parameters, achieves excellent performance on thousands GPUs during training, and the state-of-the-art results on NLP tasks.
Multi-view Face Analysis Based on Gabor Features
Different methods of classification based on sparse representation and Gabor kernels have been widely applied in the fields of facial analysis.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
