How the Gemma 4 Vision Agent’s “Agentic Loop” Solves Complex Visual Reasoning

Explore the new agentic loop pipeline using Gemma 4 and Falcon Perception for highly accurate, locally hosted image ...
TechEngage

CAPTCHA Evolution: The History of How Websites Prove You’re Human

From warped text to invisible AI scoring: the complete history of CAPTCHAs, how spammers beat them, and what comes next in ...
The New York Times

Coding After Coders: The End of Computer Programming as We Know It

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...
marktechpost

NVIDIA AI releases C-RADIOv4 vision backbone unifying SigLIP2, DINOv3, SAM3 for classification, dense prediction, segmentation workloads at scale

How do you combine SigLIP2, DINOv3, and SAM3 into a single vision backbone without sacrificing dense or segmentation performance? NVIDIA’s C-RADIOv4 is a new agglomerative vision backbone that ...
IEEE

Vocabulary-free Image Classification and Semantic Segmentation

Abstract: Large vision-language models revolutionized image classification and semantic segmentation paradigms. However, they typically assume a pre-defined set of categories, or vocabulary, at test ...
Frontiers

Orchestrating segment anything models to accelerate segmentation annotation on agricultural image datasets

In recent years, the rapid development of machine vision based on artificial intelligence (AI) has gained increasing attention in agriculture (Abbasi et al., 2022; Maraveas, 2024). This becomes ...
IEEE

A Multiscale Vision–Text Collaborative Dual Encoder for Referring RS Image Segmentation

Abstract: Referring remote sensing image segmentation (RRSIS) aims to segment target objects in remote sensing images using natural language descriptions. Existing methods employing a single backbone ...
Frontiers

Cluster segmentation and stereo vision-based apple localization algorithm for robotic harvesting

Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...
GitHub

VLM Object Detection and Segmentation Pipeline

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...