36 citations · 62 across the 21 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
DataComp-VLM: Improved Open Datasets for Vision-Language Models
Matteo Farina, Vishaal Udandarao, Thao Nguyen +33
Building performant Vision-Language Models (VLMs) requires carefully curating large-scale training datasets, yet the community lacks systematic benchmarks for evaluating such curat…
cs.CV2025
Should VLMs be Pre-trained with Image Data?
Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre +8
Pre-trained LLMs that are further trained with image data perform well on vision-language tasks. While adding images during a second training phase effectively unlocks this capabil…
cs.CV2020★ 4 cited
Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification
Sedrick Scott Keh
In recent years, deep learning has vastly improved the identification and diagnosis of various diseases in plants. In this report, we investigate the problem of pathology classific…