Microsoft

AI as tradecraft: How threat actors operationalize AI

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Researchers are combining drones and AI to make removing land mines faster and safer

Demining operations are increasingly using drone-based aerial imagery to accelerate land mine surveys, particularly for mines laid on the surface of the ground. However, camouflage, vegetation and ...
IEEE

AUD-YOLO: A Lightweight Object Detection Algorithm Model Incorporating Dynamic Upsampling for Remote Sensing Images

Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...
Digital Trends

Google is working on an Android feature to reduce motion sickness while using your phone

What happened: Motion Cues is Google’s attempt to fix “sensory conflict.” That’s the fancy term for what happens when your eyes tell your brain you are sitting still (staring at a screen), but your ...
SiliconANGLE

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
about.fb

New Segment Anything Models Make it Easier to Detect Objects and Create 3D Reconstructions

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...
IEEE

An efficient high-resolution remote sensing object detection approach using multi-level-optimized RT-DETR model

Abstract: Remote sensing images object detection (RSD) involves identifying the position and categorization of objects found in these images. Nevertheless, remote sensing images (RSI) possess ...
GitHub

Question of object detection when using dinov3

I tried using DINOv3 as the pre-trained model for the detector and encountered an issue. When defining the Transformer, self.reference_points（not two-stage） is initialized as follows: if two_stage: ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Scientific Research Publishing

YOLO-AgriNet: A Deep Learning-Based Model for Real-Time Plant Disease Detection in Precision Agriculture ()

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...
acm.org

Visual Object Tracking Challenge: How to Offer a Working Solution in 24 Hours Using Multimodal LLM

Computer vision competitions are currently an important event for teams working in this area. They provide an opportunity to try new solutions, practice, and simply enjoy solving interesting problems.