Intersection Over Union Explained and PyTorch Implementation
Comprehensive guide to Intersection over Union (IoU) in object detection, covering theory and practical implementation in PyTorch. Ideal for understanding this crucial metric.
Object Detection with Transformers - From Training to Deployment
Explore cutting-edge object detection using transformers, from fundamental concepts to advanced techniques. Learn scalable training with Determined AI and deployment using MLflow.
DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis
DeepMem: A graph-based deep learning approach for fast and robust memory forensic analysis, using novel memory graph models and neural networks to enhance object detection in raw memory dumps.
Viseron - An Open Source, Self Hosted Video Surveillance Solution with Motion and Object Detection
Learn to install and configure Viseron, an open-source video surveillance solution with motion and object detection capabilities, for self-hosted security systems.
Frigate NVR in Home Assistant for Automation and Notifications Based on Object Detection
Explore Frigate NVR integration with Home Assistant for advanced object detection, automation, and notifications. Learn setup, configuration, and practical applications for smarter home surveillance.
Anti Spoofing - Liveliness Detector for Face Recognition System - Fake VS Real - Computer Vision
Learn to build a free anti-spoofing system for face recognition, covering data collection, preprocessing, model training, and implementation using computer vision techniques.
Traffic Analysis with YOLOv8 and ByteTrack - Vehicle Detection and Tracking
Learn real-time traffic analysis using YOLOv8 and ByteTrack for vehicle detection and tracking on aerial images. Explore zone assignment, movement direction, and traffic flow visualization with Python and Supervision.
Towards Machines that Perceive and Communicate
Explore cutting-edge research in visual scene understanding and grounded language processing, covering semantic segmentation, object detection, and image captioning advancements.
OpenAI CLIP Explained - Multi-modal ML
Explore OpenAI's CLIP model, bridging text and image understanding. Learn about multi-modal AI, CLIP's functionality, and its applications in encoding, classification, and object detection.
Bag of Visual Words for Image Classification and Retrieval
Learn to build image embeddings using the Bag of Visual Words technique for image retrieval, object detection, and classification in computer vision applications.
Context R-CNN- Long Term Temporal Context for Per-Camera Object Detection
Explores Context R-CNN, an object detection model leveraging long-term temporal context from static cameras. Improves performance in wildlife and traffic monitoring by incorporating data from multiple frames.
How to Use Facebook's DETR Object Detection Algorithm in Python - Full Tutorial
Hands-on tutorial implementing Facebook's DETR object detection algorithm in Python, covering model loading, image processing, output handling, and visualization with various test cases.
Weight Standardization
Explores Weight Standardization technique for neural networks, improving performance in micro-batch training and outperforming other normalization methods when combined with Group Normalization.
Convolutional Neural Networks with TensorFlow 2022
Comprehensive live-coding tutorial on Convolutional Neural Networks using TensorFlow, covering data preparation, model architecture, optimization techniques, and practical applications in image recognition and object detection.
ConvNets in Practice
Explore practical applications of ConvNets in object detection, face recognition, and semantic segmentation. Learn about network architectures, performance comparisons, and real-world implementations in robotics and image processing.
CNN Applications, RNN, and Attention
Explore CNN applications in digit recognition, object detection, and semantic segmentation. Dive into RNNs, addressing their challenges with attention mechanisms, GRUs, LSTMs, and Seq2Seq models.
Kuzushiji Recognition Smartphone Application with AI
Explore AI-powered kuzushiji recognition with the miwo app, revolutionizing the study of premodern Japanese documents through innovative technology and user-friendly mobile application.
Learning the Depths of Moving People by Watching Frozen People
Explore depth prediction techniques for moving subjects using static images, enhancing 3D modeling and computer vision applications in various fields.
End-to-End Object Detection with Transformers
Learn about cutting-edge object detection using Transformers, exploring architecture, bipartite matching, oppositional encoding, and attention scores in this comprehensive tutorial.
YOLOv4 - Optimal Speed and Accuracy of Object Detection
Explore YOLOv4's advancements in object detection, including improved speed and accuracy, new activation functions, and spatial attention mechanisms.
SIGCOMM 2020 - Server-Driven Video Streaming for Deep Learning Inference
Explore server-driven video streaming for deep learning inference, including real-time camera set heuristics, object detection, and experimental results.