Showing 101-120 of 170 projects
A PyTorch implementation of the YOLOv4 object detection model with support for various attention mechanisms and mobile models.
This repository provides a model pruning technique for the YOLOv3 object detection model on the Oxford Hand dataset.
A Python library for 3D object detection from RGB-D data using deep learning.
An efficient PyTorch implementation of the EfficientDet object detection model with ported weights.
A curated list of Tiny Object Detection papers and related resources for developers working with AI-powered computer vision.
A Python library for training and detecting objects using the YOLO3 deep learning algorithm.
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
Implementation of the state-of-the-art YOLOv13 object detection model with hypergraph-enhanced visual perception.
High-performance PyTorch implementation of the SSD (Single Shot MultiBox Detector) for object detection.
A C++ library that enables deploying the YOLOv5 object detection model on mobile devices using the NCNN framework.
PyTorch extensions for fast R&D prototyping and Kaggle competition tools
Dynamic semantic SLAM with object detection, octomap, and target database for AI-powered development tools.
A real-time object detection model that leverages the DINO transformer for efficient and accurate object recognition.
Official implementation of a paper on a unified Transformer-based framework for object detection and segmentation.
A Python library for benchmarking multiple object trackers (MOT) that can be used in computer vision applications.
A PyTorch library that provides Vision Transformer (ViT) adapters for dense prediction tasks like object detection and semantic segmentation.
A Python library that uses YOLOv5 and DeepSort to implement vehicle and pedestrian tracking and counting.
This Python project is a technical guide for beginners to study algorithms and software architectures for autonomous vehicle control.
A PyTorch implementation of the EfficientDet object detection model for high-performance computer vision tasks.
DEIM: A real-time object detection system using DETR with improved matching for fast convergence.
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