Search Results for author:
Found 2 papers, 1 papers with code
Investigating the Limitation of CLIP Models: The Worst-Performing Categories
Contrastive Language-Image Pre-training (CLIP) provides a foundation model by integrating natural language into visual concepts, enabling zero-shot recognition on downstream tasks.
Parameter-Efficient Long-Tailed Recognition
In this paper, we propose PEL, a fine-tuning method that can effectively adapt pre-trained models to long-tailed recognition tasks in fewer than 20 epochs without the need for extra data.
Ranked #1 on
Long-tail Learning
on CIFAR-100-LT (ρ=10)
(using extra training data)
Fine-Grained Image Classification
Long-tail learning with class descriptors
