Abstract: Image-text matching as a fundamental cross-modal understanding task presents unique challenges in weakly-aligned scenarios. Such data typically feature highly abstract textual captions with ...
North Mass Boulder, a business in the Windsor Park neighborhood on the near-east side of Indianapolis that combines an indoor climbing gym, yoga studio, weight training, coffee shop and co-working ...
Abstract: Benefited from image-text contrastive learning, pre-trained vision-language models, e.g., CLIP, allow to direct leverage texts as images (TaI) for parameter-efficient fine-tuning (PEFT).
Illustration by Ben Kothe / The Atlantic. Sources: Frazer Harrison / Getty; Everett Collection. This is different from other image-sharing trends involving memes or GIFs. The technology has given ...
When you play a video game from a AAA developer or even a rather skilled indie developer, there are certain basic things you can find within those titles that you wouldn’t expect to find in the ...
Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. Since OpenAI released an update earlier ...
OpenAI is reportedly nearing completion of a massive $40 billion funding round, with SoftBank leading the way. But this week, it wasn’t just the company funding news making headlines — its new image ...
Nintendo has confirmed the Nintendo Switch 2's mysterious new Joy-Con button is indeed the C button, as had been rumored. Confirmation comes from the just announced and released Nintendo Today! app, ...
Image-text matching (ITM) aims to address the fundamental challenge of aligning visual and textual modalities, which inherently differ in their representations—continuous, high-dimensional image ...
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