Mamba in vision: A comprehensive survey of techniques and applications
Mamba is emerging as a novel approach to overcome the challenges faced by
Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) in computer vision …
Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) in computer vision …
Research Advances in Deep Learning for Image Semantic Segmentation Techniques
ZG **ao, TF Chai, NF Li, XF Shen, T Guan, J Tian… - Ieee …, 2024 - ieeexplore.ieee.org
Image semantic segmentation represents a significant area of research within the field of
computer vision. With the advent of deep learning, image semantic segmentation techniques …
computer vision. With the advent of deep learning, image semantic segmentation techniques …
Motion-guided dual-camera tracker for low-cost skill evaluation of gastric endoscopy
Gastric simulators with objective educational feedback have been proven useful for
endoscopy training. Existing electronic simulators with feedback are however not commonly …
endoscopy training. Existing electronic simulators with feedback are however not commonly …
EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
S Lee, J Choi, HJ Kim - arxiv preprint arxiv:2411.15241, 2024 - arxiv.org
For the deployment of neural networks in resource-constrained environments, prior works
have built lightweight architectures with convolution and attention for capturing local and …
have built lightweight architectures with convolution and attention for capturing local and …