Results 1 to 10 of about 65,226,620 (398)

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day [PDF]

open access: yesNeural Information Processing Systems, 2023
Conversational generative AI has demonstrated remarkable promise for empowering biomedical practitioners, but current investigations focus on unimodal text.
Chunyuan Li   +8 more
semanticscholar   +1 more source

ImageBind One Embedding Space to Bind Them All [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
We present ImageBind, an approach to learn a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. We show that all combinations of paired data are not necessary to train such a joint embedding, and only ...
Rohit Girdhar   +6 more
semanticscholar   +1 more source

SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot [PDF]

open access: yesInternational Conference on Machine Learning, 2023
We show for the first time that large-scale generative pretrained transformer (GPT) family models can be pruned to at least 50% sparsity in one-shot, without any retraining, at minimal loss of accuracy.
Elias Frantar, Dan Alistarh
semanticscholar   +1 more source

Facilitating implementation of the one health approach: A definition of a one health intervention

open access: yesOne Health, 2023
The last two decades has witnessed a disruption of socio-economic, security and political foundation worldwide due to surging of health events arising at the ecosystem, animal and human interface.
S. Nzietchueng   +3 more
semanticscholar   +1 more source

Neoplatonism and Byzantine Patristics: The Relationship of Plotinus’ Concept of the Triad and the Christian Doctrine of the Holy Trinity

open access: yesRUDN Journal of Philosophy, 2022
Traces the continuity of the ideas of Neoplatonism in Greek-Byzantine Patristics in the process of developing the orthodox doctrine of the Holy Trinity by the Church Fathers.
Denis I. Chistyakov
doaj   +1 more source

Imagery as an Intersection of Two Realities in the Early Christian Philosophical Models of the Universe / Образность как пересечение двух реальностей в раннехристианских философских моделях мироздания

open access: yesВизуальная теология, 2021
The problem of interpreting the imaginative thinking of early Christian writers and artists is connected with the analysis and understanding of their expression of complex theological ideas formed in the first centuries of the beginning of Christian ...
Lyubomira Stefanova / Любомира Стефанова
doaj   +1 more source

The one-carbon pool controls mitochondrial energy metabolism via complex I and iron-sulfur clusters

open access: yesScience Advances, 2021
Mitochondrial energetics is responsive to the one-carbon metabolic network. Induction of the one-carbon cycle is an early hallmark of mitochondrial dysfunction and cancer metabolism.
Florian A. Schober   +20 more
semanticscholar   +1 more source

FCOS: Fully Convolutional One-Stage Object Detection [PDF]

open access: yesIEEE International Conference on Computer Vision, 2019
We propose a fully convolutional one-stage object detector (FCOS) to solve object detection in a per-pixel prediction fashion, analogue to semantic segmentation.
Zhi Tian   +3 more
semanticscholar   +1 more source

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation [PDF]

open access: yes2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016
State-of-the-art approaches for semantic image segmentation are built on Convolutional Neural Networks (CNNs). The typical segmentation architecture is composed of (a) a downsampling path responsible for extracting coarse semantic features, followed by ...
S. Jégou   +4 more
semanticscholar   +1 more source

Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework [PDF]

open access: yesEuropean Conference on Computer Vision, 2022
The current popular two-stream, two-stage tracking framework extracts the template and the search region features separately and then performs relation modeling, thus the extracted features lack the awareness of the target and have limited target ...
Botao Ye   +3 more
semanticscholar   +1 more source

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