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Deep time series forecasting models: A comprehensive survey
Deep learning, a crucial technique for achieving artificial intelligence (AI), has been
successfully applied in many fields. The gradual application of the latest architectures of …
successfully applied in many fields. The gradual application of the latest architectures of …
NTIRE 2024 dense and non-homogeneous dehazing challenge report
This study examines the results of the NTIRE 2024 Challenge on Dense and Non-
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …
Online vectorized hd map construction using geometry
Abstract Online vectorized High-Definition (HD) map construction is critical for downstream
prediction and planning. Recent efforts have built strong baselines for this task, however …
prediction and planning. Recent efforts have built strong baselines for this task, however …
Large kernel frequency-enhanced network for efficient single image super-resolution
J Chen, C Duanmu, H Long - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
In recent years there has been significant progress in efficient and lightweight image super-
resolution due in part to the design of several powerful and lightweight attention …
resolution due in part to the design of several powerful and lightweight attention …
Roadformer+: Delivering rgb-x scene parsing through scale-aware information decoupling and advanced heterogeneous feature fusion
Task-specific data-fusion networks have marked considerable achievements in urban scene
parsing. Among these networks, our recently proposed RoadFormer successfully extracts …
parsing. Among these networks, our recently proposed RoadFormer successfully extracts …
[HTML][HTML] Unlocking the potential of CYGNSS for pan-tropical inland water map** through multi-source data and transformer
Abstract Cyclone Global Navigation Satellite System (CyGNSS) data are widely recognized
for their sensitivity to inland water bodies. However, the detection of water bodies using …
for their sensitivity to inland water bodies. However, the detection of water bodies using …
Cascade residual multiscale convolution and mamba-structured unet for advanced brain tumor image segmentation
In brain imaging segmentation, precise tumor delineation is crucial for diagnosis and
treatment planning. Traditional approaches include convolutional neural networks (CNNs) …
treatment planning. Traditional approaches include convolutional neural networks (CNNs) …
DTNet: A specialized dual-tuning network for infrared vehicle detection in aerial images
Vehicle detection in infrared aerial images is vital for both military and civilian applications,
as infrared imaging remains effective under low-light conditions and various adverse …
as infrared imaging remains effective under low-light conditions and various adverse …
Multi-scale fusion uncrewed aerial vehicle detection based on RT-DETR
M Zhu, E Kong - Electronics, 2024 - mdpi.com
With the rapid development of science and technology, uncrewed aerial vehicle (UAV)
technology has shown a wide range of application prospects in various fields. The accuracy …
technology has shown a wide range of application prospects in various fields. The accuracy …
Multimodal pathway: Improve transformers with irrelevant data from other modalities
We propose to improve transformers of a specific modality with irrelevant data from other
modalities eg improve an ImageNet model with audio or point cloud datasets. We would like …
modalities eg improve an ImageNet model with audio or point cloud datasets. We would like …