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Found 8 papers, 1 papers with code
JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups
Understanding human social behaviour is crucial in computer vision and robotics.
HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning
Recent advances in visual reasoning (VR), particularly with the aid of Large Vision-Language Models (VLMs), show promise but require access to large-scale datasets and face challenges such as high computational costs and limited generalization capabilities.
Real-time Trajectory-based Social Group Detection
These results demonstrate that our proposed method is suitable for real-time robotic applications.
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation
Also, for xVertSeg dataset, we achieved precision, recall, and F1-score of above 97% for sagittal view, above 93% for coronal view , and above 96% for axial view.
Predicting Driver Intention Using Deep Neural Network
To improve driving safety and avoid car accidents, Advanced Driver Assistance Systems (ADAS) are given significant attention.
Persian Handwritten Digit, Character and Word Recognition Using Deep Learning
Digit, letter and word recognition for a particular script has various applications in todays commercial contexts.
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images
We trained and tested the network on four different medical datasets, including skin lesion photos, lung computed tomography (CT) images (LUNA dataset), retina images (DRIVE dataset), and prostate magnetic resonance (MR) images (PROMISE12 dataset).
In Situ Cane Toad Recognition
Cane toads are invasive, toxic to native predators, compete with native insectivores, and have a devastating impact on Australian ecosystems, prompting the Australian government to list toads as a key threatening process under the Environment Protection and Biodiversity Conservation Act 1999.
