Zobrazeno 1 - 10
of 98 387
pro vyhledávání: '"P. P. Bag"'
Existing open-vocabulary object detection (OVD) develops methods for testing unseen categories by aligning object region embeddings with corresponding VLM features. A recent study leverages the idea that VLMs implicitly learn compositional structures
Externí odkaz:
http://arxiv.org/abs/2412.18273
Detecting Dark Patterns in User Interfaces Using Logistic Regression and Bag-of-Words Representation
Dark patterns in user interfaces represent deceptive design practices intended to manipulate users' behavior, often leading to unintended consequences such as coerced purchases, involuntary data disclosures, or user frustration. Detecting and mitigat
Externí odkaz:
http://arxiv.org/abs/2412.14187
We present novel numerical simulations investigating the evolution of liquid droplets into bag-like structures in turbulent airflows. The droplet bag breakup problem is of significance for many multiphase processes in scientific and engineering appli
Externí odkaz:
http://arxiv.org/abs/2411.08650
We investigated the radial and non-radial fundamental ($f$) mode oscillations of self-bound (quark) stars obtained after employing the Vector MIT (vMIT) bag model. Within this model, we computed the equation of state for strange quark matter satisfyi
Externí odkaz:
http://arxiv.org/abs/2412.05752
This study investigates the structural properties of strange quark stars (SQS) using a Quantum Chromodynamics (QCD) perturbative model combined with the latest Particle Data Group dataset. Given the energy scale present in compact stars, QCD perturba
Externí odkaz:
http://arxiv.org/abs/2411.12048
Autor:
Zhou, Chen, Cheng, Peng, Fang, Junfeng, Zhang, Yifan, Yan, Yibo, Jia, Xiaojun, Xu, Yanyan, Wang, Kun, Cao, Xiaochun
Multispectral object detection, utilizing RGB and TIR (thermal infrared) modalities, is widely recognized as a challenging task. It requires not only the effective extraction of features from both modalities and robust fusion strategies, but also the
Externí odkaz:
http://arxiv.org/abs/2411.18288
The influence of contextual input on the behavior of large language models (LLMs) has prompted the development of context attribution methods that aim to quantify each context span's effect on an LLM's generations. The leave-one-out (LOO) error, whic
Externí odkaz:
http://arxiv.org/abs/2411.15102
Pruning of deep neural networks has been an effective technique for reducing model size while preserving most of the performance of dense networks, crucial for deploying models on memory and power-constrained devices. While recent sparse learning met
Externí odkaz:
http://arxiv.org/abs/2411.13545
Twistronics is studied intensively in twisted 2D heterostructures and its extension to trilayer moir\'e structures has proven beneficial for the tunability of unconventional correlated states and superconductivity in twisted trilayer graphene. Just r
Externí odkaz:
http://arxiv.org/abs/2411.03036
Autor:
Pal, Suman, Chaudhuri, Gargi
Publikováno v:
Phys. Rev. D 108, 103028, Published 16 November 2023
The study of strange quark matter within the framework of the density-dependent MIT Bag model using the Grand Canonical ensemble is thermodynamically inconsistent. In this work, it is shown that if the medium effects are incorporated through a densit
Externí odkaz:
http://arxiv.org/abs/2409.17862