Introduced in the paper "Roboflow 100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models", RF100-VL is a large-scale collection of 100 multi-modal datasets with diverse concepts ...
Carnegie Mellon University researchers have developed an AI system that enables everyday objects to anticipate people’s needs and move to assist them, opening new possibilities for seamless ...
C programming is a general-purpose, processor-oriented, and powerful language, widely used in various daily life applications. As a prerequisite for many core courses in computer science and ...
Abstract: Language-guided remote sensing image object localization uses intuitive natural language interactions to locate objects of interest within satellite or drone imagery, and has a wide range of ...
[ICLR 2023] Learning Object-Language Alignments for Open-Vocabulary Object Detection [Paper][Code] [CVPR 2022] Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model [Paper ...
The so-called Department of Government Efficiency (DOGE) is starting to put together a team to migrate the Social Security Administration’s (SSA) computer systems entirely off one of its oldest ...
The American opposition to a draft of a Group of 7 statement marking the third anniversary of Russia’s attack on Ukraine comes after President Trump blamed Kyiv for starting the war. By Steven ...
Open-vocabulary object detection (OVD) aims to detect arbitrary objects with user-provided text labels. Although recent progress has enhanced zero-shot detection ability, current techniques handicap ...
Pep Guardiola described it as “the best lesson you can take”. Abdukodir Khusanov’s language teacher might beg to differ. The Manchester City manager was talking after Khusanov endured a difficult ...
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