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Transformers in medical imaging: A survey
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …
successfully applied to several computer vision problems, achieving state-of-the-art results …
Transformers in vision: A survey
Astounding results from Transformer models on natural language tasks have intrigued the
vision community to study their application to computer vision problems. Among their salient …
vision community to study their application to computer vision problems. Among their salient …
A survey on efficient inference for large language models
Sanger: A co-design framework for enabling sparse attention using reconfigurable architecture
In recent years, attention-based models have achieved impressive performance in natural
language processing and computer vision applications by effectively capturing contextual …
language processing and computer vision applications by effectively capturing contextual …
Via: A novel vision-transformer accelerator based on fpga
Since Google proposed Transformer in 2017, it has made significant natural language
processing (NLP) development. However, the increasing cost is a large amount of …
processing (NLP) development. However, the increasing cost is a large amount of …
Heatvit: Hardware-efficient adaptive token pruning for vision transformers
While vision transformers (ViTs) have continuously achieved new milestones in the field of
computer vision, their sophisticated network architectures with high computation and …
computer vision, their sophisticated network architectures with high computation and …