Search Results for author:
Found 11 papers, 2 papers with code
Loss Functions in Deep Learning: A Comprehensive Review
Loss functions are at the heart of deep learning, shaping how models learn and perform across diverse tasks.
PDC-ViT : Source Camera Identification using Pixel Difference Convolution and Vision Transformer
This paper proposes a new pixel-based method for source camera identification, integrating Pixel Difference Convolution (PDC) with a Vision Transformer network (ViT), and named PDC-ViT.
Applications of Knowledge Distillation in Remote Sensing: A Survey
With the ever-growing complexity of models in the field of remote sensing (RS), there is an increasing demand for solutions that balance model accuracy with computational efficiency.
Transformer-based Image and Video Inpainting: Current Challenges and Future Directions
In this paper, we provide a comprehensive review of the current image or video inpainting approaches, with a specific focus on transformer-based techniques, with the goal to highlight the significant improvements and provide a guideline for new researchers in the field of image or video inpainting using visual transformers.
Drone-type-Set: Drone types detection benchmark for drone detection and tracking
Drone detection can be performed using different sensors, while image-based detection is one of them due to the development of artificial intelligence techniques.
3D objects and scenes classification, recognition, segmentation, and reconstruction using 3D point cloud data: A review
Nevertheless, working with this emerging type of data has been a challenging task for objects representation, scenes recognition, segmentation, and reconstruction.
Panoptic Segmentation: A Review
Image segmentation for video analysis plays an essential role in different research fields such as smart city, healthcare, computer vision and geoscience, and remote sensing applications.
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.
An encoder-decoder-based method for COVID-19 lung infection segmentation
But the challenges of these features such as the quality of the image and infection characteristics limitate the effectiveness of these features.
Image inpainting: A review
Furthermore, collect a list of the available datasets and discuss these in our paper.
A Novel Approach for Robust Multi Human Action Recognition and Summarization based on 3D Convolutional Neural Networks
For that, this paper proposes a new technic for multiple human action recognition and summarization for surveillance videos.
