Results 171 to 180 of about 6,892,691 (254)

LIF-VSR: A Lightweight Framework for Video Super-Resolution with Implicit Alignment and Attentional Fusion. [PDF]

Sensors (Basel)
Zhang S, Zhang H, Wang X, Song K, Han Z, Zhang Z, Cheng W.   +6 more
europepmc   +1 more source

TASA: Text-Anchored State-Space Alignment for Long-Tailed Image Classification. [PDF]

J Imaging
Li L, Jia T, Yue H, Cheng H, Bu Y, Zhang Z.   +5 more
europepmc   +1 more source

Retraction: Potassium bromate-induced nephrotoxicity and potential curative role of metformin loaded on gold nanoparticles. [PDF]

Sci Prog
europepmc   +1 more source

Initial Neutron Imaging Alignment Plan

, 2018
openaire   +2 more sources

Erratum for the Research Article "Excitotoxic neuronal death requires superoxide entry into neurons through volume-regulated anion channels" by K. Harris <i>et al</i>.

Sci Adv
europepmc   +1 more source

TCSA-UDA: Text-Driven Cross-Semantic Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation [PDF]

Maurya, Lalit, Liu, Honghai, Zwiggelaar, Reyer   +2 more
openalex  

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Image Alignment

Computer Vision, 2021

semanticscholar   +2 more sources

GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Neural Information Processing Systems, 2023
Recent breakthroughs in diffusion models, multimodal pretraining, and efficient finetuning have led to an explosion of text-to-image generative models.
Dhruba Ghosh, H. Hajishirzi, Ludwig Schmidt   +2 more
semanticscholar   +1 more source

SMDT: Cross-View Geo-Localization with Image Alignment and Transformer

IEEE International Conference on Multimedia and Expo, 2022
The goal of cross-view geo-localization is to determine the location of a given ground image by matching with aerial images. However, existing methods ignore the variability of scenes, additional information and spatial correspondence of covisibility and
Xiaoyang Tian, Jie Shao, Deqiang Ouyang, Anjie Zhu, Feiyu Chen   +4 more
semanticscholar   +1 more source

A One-Stage Domain Adaptation Network With Image Alignment for Unsupervised Nighttime Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
In this paper, we tackle the problem of semantic segmentation for nighttime images that plays an equally important role as that for daytime images in autonomous driving, but is also much more challenging due to very poor illuminations and scarce ...
Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang
semanticscholar   +1 more source