Object Detection on Custom Dataset with YOLO - Fine-Tuning with PyTorch and Python Tutorial
Fine-tune YOLO v5 for custom object detection using PyTorch. Learn model installation, training, evaluation, and application on a clothing dataset.
Tensorflow Object Detection with Python - Full Course with 3 Projects
Comprehensive guide to Tensorflow Object Detection: from setup to advanced projects. Learn to build, train, and deploy models for gesture, defect, and sentiment detection using Python, JavaScript, and Raspberry Pi.
Build a Deep Face Detection Model With Python and Tensorflow - Full Course
Comprehensive guide to building a face detection model using TensorFlow and Python, covering data collection, augmentation, model creation, training, and real-time testing for practical implementation.
How to Train Object Detection Transformer on Custom Dataset
Learn to train Object Detection Transformers using DETR, from environment setup to custom dataset training and model evaluation. Covers PyTorch, COCO datasets, and PyTorch Lightning for efficient deep learning workflows.
NVIDIA DeepStream Technical Deep Dive - Multi-Object Tracker
Explore NVIDIA DeepStream's multi-object tracker options, architecture, and optimization strategies for AI-based vision applications, with focus on NvDCF tracker and configuration parameters.
Deep Learning - Class Introduction and Logistics - Lecture 1
Comprehensive introduction to deep learning, covering key concepts, tools, and applications. Explores course goals, structure, and practical assignments for hands-on experience in AI and machine learning.
Automated Recognition of Visual Situations in Images
AI architecture for recognizing visual situations in images, using learned models of object features and spatial relationships to actively search and score images for specific situations.
Object Tracking
Explore object tracking in computer vision, covering algorithms, datasets, and challenges. Learn about various tracking methods and their performance in different scenarios.
Visual Material Recognition
Explore visual material recognition through generative and discriminative approaches, focusing on reflectance models, material traits, and their applications in computer vision.
Object Recognition
Explore object recognition techniques, from Bag of Words to selective search, covering codebooks, visual synonyms, and object localization for effective image classification.
Recent Advances in Online Object Tracking
Explore recent advancements in online object tracking, covering sparsity-based classifiers, occlusion handling, and evaluation methodologies for improved visual tracking algorithms.
SILCO: Show a Few Images, Localize the Common Object
Innovative approach to object detection using few support images, combining spatial similarity and feature reweighting for improved localization in challenging scenarios.
Trust Region Based Adversarial Attack on Neural Networks
Explore trust region optimization for adversarial attacks on neural networks, covering various attack methods and their applications in computer vision and object detection.
Consistency-Based Semi-Supervised Learning for Object Detection
Explore semi-supervised learning for object detection, focusing on consistency-based approaches. Learn about loss functions, background elimination, and experimental results in this concise presentation.
Introduction to Capsule Networks for Computer Vision
Explore Capsule Networks for computer vision, covering sparse pattern recognition, viewpoint equivariance, object detection, and dynamic routing techniques.
Introduction to Adversarial Attacks in Machine Learning - Lecture 1
Introduction to adversarial attacks on AI systems, covering real-world examples, attack methods, and defense strategies for various applications like face recognition and object detection.
From Saliency to Camouflage Analysis in Computer Vision
Explore visual saliency and camouflage analysis in computer vision, covering FCN-based methods, semantic extraction, and applications. Learn about challenges and future directions in this field.
CAP5415 - Object Detection: Sliding Window and Image Pyramids - Lecture 13
Explore object detection techniques including sliding windows, scale-space pyramids, and non-maximum suppression. Learn about challenges and evaluation methods in this comprehensive lecture.
Person Re-Identification and Tracking in Multiple Non-Overlapping Cameras - Keynote
Explore person re-identification and tracking across multiple cameras, covering classification networks, loss functions, and innovative approaches for various camera configurations.
Live Repetition Counting - CNN Architecture and System for Online Motion Detection
Learn techniques for real-time repetition counting in video, including CNN architecture, counter integration, and online mode counting for multiple detectors and regions of interest.
Deep Reinforcement Learning for Object Tracking
Explore action-driven object tracking using deep reinforcement learning, covering policy, value functions, and training approaches for improved visual tracking performance.