Humans can detect buried objects without touching them, sensing faint pressure ripples in sand. Scientists are calling this ...
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Beamr validates ML-safe video compression for autonomous vehicle data with nearly 50% size reduction
Beamr Imaging Ltd. ( ($BMR) ) has shared an update. On December 22, 2025, Beamr Imaging Ltd. reported benchmark test results showing that its CABR ...
A new system utilizing artificial intelligence allows bionic hands to grasp objects with a delicacy and precision that ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
Abstract: Human-Object Interaction (HOI) detection, as a foundational task in human-centric understanding, aims to detect interactive triplets in real-world scenarios. To better distinguish diverse ...
Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...
Abstract: Small object detection in remote sensing images faces challenges such as weak features, vulnerability to interference, and limited object visibility. These factors have made it a ...
BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...
This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...
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