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Browser AI gains native inference: Google LiteRT.js cuts server dependency

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...
Virtualization Review

Google Pushes AI Inference Out of the Cloud and Into the Browser

LiteRT.js runs machine learning models locally with CPU, GPU and emerging NPU acceleration, potentially reducing server infrastructure, inference charges and data movement.
GitHub

deco-detr_decoupled_cognition_detr_for_efficient_open-vocabulary_object_detectio.md

description [ICLR2026][Object Detection][Open-Vocabulary Detection] DeCo-DETR decouples "online text encoder invocation" and the "competition between localization and alignment" in open-vocabulary ...
IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
GitHub

Detect Anything via Next Point Prediction

Rex-Omni is a 3B-parameter Multimodal Large Language Model (MLLM) that redefines object detection and a wide range of other visual perception tasks as a simple next-token prediction problem.
IEEE

FM-RTDETR: Small Object Detection Algorithm Based on Enhanced Feature Fusion With Mamba

Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...