Results 271 to 280 of about 488,216 (336)
LuGSAM: a novel framework for integrating text prompts to Segment Anything Model (SAM) for segmentation tasks of ICU chest x-rays. [PDF]
Multimed Tools ApplRamesh DB +3 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.High‐energy electron impact in plasma catalysis often causes excessive dissociation of active intermediates, limiting C2+ product selectivity. To address this challenge, a bio‐inspired stoma‐shell nanoarchitecture is designed to decouple electron impact from catalytic reaction zones.
Nan Zou +5 more
wiley +1 more source
Knowledge Distillation Meets Reinforcement Learning: A Cluster-Driven Approach to Image Processing. [PDF]
Sensors (Basel)Kitrungrotsakul T, Xu Y, Srichola P.
europepmc +1 more source
Automatic diagnosis of heating in oil-filled terminals of cables. [PDF]
Sci RepYao S, Liu Z, Zhao Y, Ni S.
europepmc +1 more source
The interoceptive origins of mental imagery: an evolutionary account. [PDF]
Front PsycholSilvanto J.
europepmc +1 more source
Naapinneq: strengthening Inuit maternal and child health through gathering Inuit from Kalaallit Nunaat and Nunavut. [PDF]
Int J Circumpolar HealthIngemann C +10 more
europepmc +1 more source
Regulation as modulation: autonomic flexibility as a physiological buffer in bipolar II disorder - a perspective on somatic regulation and mood stability. [PDF]
Front PsychiatryPurcell K.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
arXiv.org, 2023We present Set-of-Mark (SoM), a new visual prompting method, to unleash the visual grounding abilities of large multimodal models (LMMs), such as GPT-4V. As illustrated in Fig.
Jianwei Yang +5 more
semanticscholar +1 more source