The paper addresses the challenge of achieving robustness to spatial transformations in computer vision. Traditional methods involve data augmentation or hard-coding invariances, but these can have limitations. The authors propose…
Continue readingOpen-vocabulary segmentation is a pivotal advancement in computer vision, allowing for the segmentation and recognition of objects across a vast set of categories. Traditional methods often employ a two-stage framework…
Continue readingLENS (Large Language Models ENhanced to See) is a novel system that leverages the power of large language models (LLMs) to tackle computer vision problems. The system uses a language…
Continue readingInfinigen is developed with the aim of addressing the challenge of data scarcity in computer vision, especially in 3D vision. It leverages procedural generation to create an infinite variety of…
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