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]
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]
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]
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
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
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
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
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]
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]
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]
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

