Results 1 to 10 of about 4,577,811 (192)
The International Vocabulary of Tinnitus. [PDF]
Front Neurosci, 2022 Tinnitus is a common experience which can have a severe impact on ones quality of life. Whilst there have been reports of historical references to tinnitus, there has not been an international cross-sectional analysis of the vocabulary used for tinnitus.
Baguley DM +3 more
europepmc +7 more sources
A Simple Framework for Open-Vocabulary Segmentation and Detection [PDF]
IEEE International Conference on Computer Vision, 2023 We present OpenSeeD, a simple Open-vocabulary Segmentation and Detection framework that jointly learns from different segmentation and detection datasets.
Hao Zhang +7 more
semanticscholar +1 more source
On quantity, value, unit, and other terms in the JCGM International Vocabulary of Metrology
Measurement science and technology, 2021 The Joint Committee for Guides in Metrology (JCGM) is in the process of revising the third edition of the International Vocabulary of Metrology (VIM3).
R. Kacker
semanticscholar +1 more source
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction [PDF]
International Conference on Learning Representations, 2023 Open-vocabulary dense prediction tasks including object detection and image segmentation have been advanced by the success of Contrastive Language-Image Pre-training (CLIP).
Size Wu +6 more
semanticscholar +1 more source
Open-vocabulary Queryable Scene Representations for Real World Planning [PDF]
IEEE International Conference on Robotics and Automation, 2022 Large language models (LLMs) have unlocked new capabilities of task planning from human instructions. However, prior attempts to apply LLMs to real-world robotic tasks are limited by the lack of grounding in the surrounding scene.
Boyuan Chen +7 more
semanticscholar +1 more source
Open-vocabulary Object Segmentation with Diffusion Models [PDF]
IEEE International Conference on Computer Vision, 2023 The goal of this paper is to extract the visual-language correspondence from a pre-trained text-to-image diffusion model, in the form of segmentation map, i.e., simultaneously generating images and segmentation masks for the corresponding visual entities
Ziyi Li +5 more
semanticscholar +1 more source
V3Det: Vast Vocabulary Visual Detection Dataset [PDF]
IEEE International Conference on Computer Vision, 2023 Recent advances in detecting arbitrary objects in the real world are trained and evaluated on object detection datasets with a relatively restricted vocabulary.
Jiaqi Wang +8 more
semanticscholar +1 more source
Going Denser with Open-Vocabulary Part Segmentation [PDF]
IEEE International Conference on Computer Vision, 2023 Object detection has been expanded from a limited number of categories to open vocabulary. Moving forward, a complete intelligent vision system requires understanding more fine-grained object descriptions, object parts.
Pei Sun +6 more
semanticscholar +1 more source
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation [PDF]
International Conference on Machine Learning, 2022 Recently, the contrastive language-image pre-training, e.g., CLIP, has demonstrated promising results on various downstream tasks. The pre-trained model can capture enriched visual concepts for images by learning from a large scale of text-image data ...
Huaishao Luo +4 more
semanticscholar +1 more source
Multi-Modal Classifiers for Open-Vocabulary Object Detection [PDF]
International Conference on Machine Learning, 2023 The goal of this paper is open-vocabulary object detection (OVOD) $\unicode{x2013}$ building a model that can detect objects beyond the set of categories seen at training, thus enabling the user to specify categories of interest at inference without the ...
Prannay Kaul +2 more
semanticscholar +1 more source