Results 1 to 10 of about 1,683,190 (291)

Vision Transformers for Computer Go

Motivated by the success of transformers in various fields, such as language understanding and image analysis, this investigation explores their application in the context of the game of Go. In particular, our study focuses on the analysis of the Transformer in Vision.
Amani Sagri, Tristan Cazenave, Jérôme Arjonilla, Abdallah Saffidine   +3 more
openaire   +2 more sources

Vision Transformers in Person Re-Identification: A Review

IEEE Access
Vision transformers (ViTs) have emerged as the dominant architecture for person re-identification (Re-ID)—the task of matching individuals across spatially disjoint surveillance cameras in the face of substantial variation in viewpoint, lighting ...
Baris Unver, Mehmet Turkay Yoldar, Simay Ozkan, Murat Koklu   +3 more
doaj   +1 more source

NeuroFusion-ViT: A Hybrid CNN–EVA Transformer Model with Cross-Attention Fusion for MRI-Based Alzheimer’s Stage Classification

Diagnostics
Background: Alzheimer’s disease is the most common type of dementia and a progressive neurodegenerative disease that begins with neuronal damage and leads to a reduction in brain tissue.
Derya Öztürk Söylemez, Sevinç Ay Doğru   +1 more
doaj   +1 more source

Retina Vision Transformer (RetinaViT): Introducing Scaled Patches into Vision Transformers

CoRR
Humans see low spatial frequency components before high spatial frequency components. Drawing on this neuroscientific inspiration, we investigate the effect of introducing patches from different spatial frequencies into Vision Transformers (ViTs). We name this model Retina Vision Transformer (RetinaViT) due to its inspiration from the human visual ...
Yuyang Shu, Michael E. Bain
openaire   +2 more sources

Leveraging transformers and explainable AI for Alzheimer's disease interpretability.

PLoS ONE
Alzheimer's disease (AD) is a progressive brain ailment that causes memory loss, cognitive decline, and behavioral changes. It is quite concerning that one in nine adults over the age of 65 have AD.
Humaira Anzum, Nabil Sadd Sammo, Shamim Akhter   +2 more
doaj   +1 more source

MaxMViT-MLP: Multiaxis and Multiscale Vision Transformers Fusion Network for Speech Emotion Recognition

IEEE Access
Vision Transformers, known for their innovative architectural design and modeling capabilities, have gained significant attention in computer vision.
Kah Liang Ong, Chin Poo Lee, Heng Siong Lim, Kian Ming Lim, Ali Alqahtani   +4 more
doaj   +1 more source

One-Stage Detection Model Based on Swin Transformer

IEEE Access
Object detection using vision transformers (ViTs) has recently garnered considerable research interest. Vision Transformers execute image classification through a multi-head attention-based MLP head and post-image segmentation into patches.
Tae Yang Kim, Asim Niaz, Jung Sik Choi, Kwang Nam Choi   +3 more
doaj   +1 more source

DiSMix: Dimensional Swap Mix for Feature-Level Data Augmentation in Vision Transformers. [PDF]

J Imaging
Kiriyama R, Sashima A, Shimizu I.
europepmc   +1 more source

Distilled vision transformers with CNN fusion for robust cashew apple maturity prediction. [PDF]

Front Plant Sci
Lingamgunta S, Mudidana J, Vincent DR, S A M F.   +3 more
europepmc   +1 more source

Multilayer pyramid pooling self-attention for landslide detection using vision transformers. [PDF]

Sci Rep
Sreelakshmi S, Chandra SSV, Ali D, Tariq A.   +3 more
europepmc   +1 more source