Pranav Durai
This research article explains a data-centric fine-tuning approach using YOLOv10 models for kidney stone detection.
In this article we discuss a basics of Robotics. A comprehensive guide for anyone starting out in robotics, perception, motion planning and control.
Fine-tuning YOLOv9 models on custom datasets can dramatically enhance object detection performance, but how significant is this improvement? In this comprehensive exploration, YOLOv9 has been fine-tuned on the SkyFusion dataset,
Depth Anything uses monocular depth perception technique to perceive depth. In this research article, the architecture along with inference results and mathematical expressions have been explored.
This research article talks about the fine-tuning and inference pipelines of STereo TRansformer (STTR) model, specifically for ADAS.
In this definitive research experiment, we will comprehensively focus on training a keypoint feature pyramid network for 3D LiDAR Object Detection using KITTI 360 Vision point-clouds for autonomous driving with
In this definitive research article, we will comprehensively focus on visualizing 3D LiDAR sensor data and try to gain an in-depth understanding of the 3D point cloud representation system for
In this research article, we will fine-tune the ever so famous SegFormer Model from HuggingFace (Enze Xie, Wenhai Wang, Zhiding Yu et al) using the Berkeley Deep Drive dataset to
This research article provides a definitive kick start to advanced driver assistance systems.
In this article, we explore the real-time facial emotion recognition using the RFB-320 SSD face detection model and the VGG-13 emotion recognition model.
This research article dives into the intricacies of slicing aided hyper inference technique for small object detection.
This research article explores the models and datasets currently available for face recognition.
