Large language models for forecasting and anomaly detection: A systematic literature review
This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …
Putting the object back into video object segmentation
We present Cutie a video object segmentation (VOS) network with object-level memory
reading which puts the object representation from memory back into the video object …
reading which puts the object representation from memory back into the video object …
Deep machine learning for medical diagnosis, application to lung cancer detection: a review
HT Gayap, MA Akhloufi - BioMedInformatics, 2024 - mdpi.com
Deep learning has emerged as a powerful tool for medical image analysis and diagnosis,
demonstrating high performance on tasks such as cancer detection. This literature review …
demonstrating high performance on tasks such as cancer detection. This literature review …
Visual attention methods in deep learning: An in-depth survey
Inspired by the human cognitive system, attention is a mechanism that imitates the human
cognitive awareness about specific information, amplifying critical details to focus more on …
cognitive awareness about specific information, amplifying critical details to focus more on …
Large separable kernel attention: Rethinking the large kernel attention design in cnn
Abstract Visual Attention Networks (VAN) with Large Kernel Attention (LKA) modules have
been shown to provide remarkable performance, that surpasses Vision Transformers (ViTs) …
been shown to provide remarkable performance, that surpasses Vision Transformers (ViTs) …
Channel prior convolutional attention for medical image segmentation
H Huang, Z Chen, Y Zou, M Lu, C Chen, Y Song… - Computers in Biology …, 2024 - Elsevier
Characteristics such as low contrast and significant organ shape variations are often
exhibited in medical images. The improvement of segmentation performance in medical …
exhibited in medical images. The improvement of segmentation performance in medical …
A lightweight encoder–decoder network for automatic pavement crack detection
Cracks are the most common damage type on the pavement surface. Usually, pavement
cracks, especially small cracks, are difficult to be accurately identified due to background …
cracks, especially small cracks, are difficult to be accurately identified due to background …
ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection
Effective feature fusion of multispectral images plays a crucial role in multispectral object
detection. Previous studies have demonstrated the effectiveness of feature fusion using …
detection. Previous studies have demonstrated the effectiveness of feature fusion using …
YOLO-FA: Type-1 fuzzy attention based YOLO detector for vehicle detection
L Kang, Z Lu, L Meng, Z Gao - Expert Systems with Applications, 2024 - Elsevier
Vehicle detection is an important component of intelligent transportation systems and
autonomous driving. However, in real-world vehicle detection scenarios, the presence of …
autonomous driving. However, in real-world vehicle detection scenarios, the presence of …
Plainmamba: Improving non-hierarchical mamba in visual recognition
We present PlainMamba: a simple non-hierarchical state space model (SSM) designed for
general visual recognition. The recent Mamba model has shown how SSMs can be highly …
general visual recognition. The recent Mamba model has shown how SSMs can be highly …