Abstract: Transformers have been an indispensable staple in deep learning. However, it is challenging to realize efficient deployment for Transformer-based model due to their substantial computation ...
PyTorch implementation and pretrained models for DINO. For details, see Emerging Properties in Self-Supervised Vision Transformers. Run DINO with ViT-small network on a single node with 8 GPUs for 100 ...
EMBED <iframe src="https://archive.org/embed/transformers-reprint-collection" width="560" height="384" frameborder="0" webkitallowfullscreen="true" mozallowfullscreen ...
05/22/2025 - We developed a lightweight registration package featuring several top-performing models, along with tutorials on how to deploy them on some public datasets and benchmarks. See details ...
Abstract: This paper proposes a novel transformer-based framework to generate accurate class-specific object localization maps for weakly supervised semantic segmentation (WSSS). Leveraging the ...
Roll out, Autobots! Transformers is in the spotlight this week as Hasbro has brought new figures to New York Comic Con 2025. Comicbook has the exclusive reveal of the comics-inspired Transformers ...
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