Comparison of vision transformers and convolutional neural networks in medical image analysis: a systematic review
S Takahashi, Y Sakaguchi, N Kouno… - Journal of Medical …, 2024 - Springer
In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the
selection of appropriate computational models is critical for accurate diagnosis and patient …
selection of appropriate computational models is critical for accurate diagnosis and patient …
Swin-umamba: Mamba-based unet with imagenet-based pretraining
Accurate medical image segmentation demands the integration of multi-scale information,
spanning from local features to global dependencies. However, it is challenging for existing …
spanning from local features to global dependencies. However, it is challenging for existing …
U-kan makes strong backbone for medical image segmentation and generation
U-Net has become a cornerstone in various visual applications such as image segmentation
and diffusion probability models. While numerous innovative designs and improvements …
and diffusion probability models. While numerous innovative designs and improvements …
Cobevt: Cooperative bird's eye view semantic segmentation with sparse transformers
Bird's eye view (BEV) semantic segmentation plays a crucial role in spatial sensing for
autonomous driving. Although recent literature has made significant progress on BEV map …
autonomous driving. Although recent literature has made significant progress on BEV map …
Rmt: Retentive networks meet vision transformers
Abstract Vision Transformer (ViT) has gained increasing attention in the computer vision
community in recent years. However the core component of ViT Self-Attention lacks explicit …
community in recent years. However the core component of ViT Self-Attention lacks explicit …
Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model
I Pacal - Expert Systems with Applications, 2024 - Elsevier
The timely identification of diseases in maize leaf offers several benefits such as increased
crop productivity, reduced reliance on harmful chemicals, and improved production of …
crop productivity, reduced reliance on harmful chemicals, and improved production of …
Swiftformer: Efficient additive attention for transformer-based real-time mobile vision applications
Self-attention has become a defacto choice for capturing global context in various vision
applications. However, its quadratic computational complexity with respect to image …
applications. However, its quadratic computational complexity with respect to image …
Mambavision: A hybrid mamba-transformer vision backbone
A Hatamizadeh, J Kautz - arXiv preprint arXiv:2407.08083, 2024 - arxiv.org
We propose a novel hybrid Mamba-Transformer backbone, denoted as MambaVision, which
is specifically tailored for vision applications. Our core contribution includes redesigning the …
is specifically tailored for vision applications. Our core contribution includes redesigning the …
Noisyquant: Noisy bias-enhanced post-training activation quantization for vision transformers
The complicated architecture and high training cost of vision transformers urge the
exploration of post-training quantization. However, the heavy-tailed distribution of vision …
exploration of post-training quantization. However, the heavy-tailed distribution of vision …
Fastervit: Fast vision transformers with hierarchical attention
We design a new family of hybrid CNN-ViT neural networks, named FasterViT, with a focus
on high image throughput for computer vision (CV) applications. FasterViT combines the …
on high image throughput for computer vision (CV) applications. FasterViT combines the …