IEEE

Unsupervised Recognition of Unknown Objects for Open-World Object Detection

Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...

Meta SAM 3 Open-Source AI Models Can Detect, Track and Construct 3D Models of Objects in Images

In two separate blog posts, the Menlo Park-based tech giant detailed the new AI models. There are three models in total. SAM 3 for image and video tracking and segmentation, SAM 3D Objects for ...
GitHub

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple ...

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Analytics Insight

TensorFlow Projects for 2025: 10 Ideas with Ready Source Code

Overview: TensorFlow makes AI learning simple through practical, ready-to-use beginner projectsStudents gain real experience in image, sound, and text-based art ...
IEEE

COFNet: Contrastive Object-Aware Fusion Using Box-Level Masks for Multispectral Object Detection

Abstract: Multispectral object detection, which combines RGB visible light and thermal infrared spectral information, has broad applications in complex environments and varying illumination conditions ...
GitHub

Object Detection with Azure AutoML for Images

This repository contains a comprehensive, end-to-end tutorial with Python notebooks demonstrating object detection using Azure AutoML for Images. The notebooks guide you through the complete workflow ...