290 citations · 355 across the 4 of their papers we have counts for
4 papers
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models
Arshia Hemmat, Adam Davies, Tom A. Lamb +4
Despite the importance of shape perception in human vision, early neural image classifiers relied less on shape information for object recognition than other (often spurious) featu…
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
Jindong Gu, Zhen Han, Shuo Chen +7
Prompt engineering is a technique that involves augmenting a large pre-trained model with task-specific hints, known as prompts, to adapt the model to new tasks. Prompts can be cre…
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Dingwen Zhang, Guohai Huang, Qiang Zhang +3
Recent advances in machine learning and prevalence of digital medical images have opened up an opportunity to address the challenging brain tumor segmentation (BTS) task by using d…
Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition
Guangyu Guo, Dingwen Zhang, Longfei Han +3
Previous knowledge distillation (KD) methods mostly focus on compressing network architectures, which is not thorough enough in deployment as some costs like transmission bandwidth…