Zobrazeno 1 - 10
of 725 177
pro vyhledávání: '"Prior, P"'
High-Definition Maps (HD maps) are essential for the precise navigation and decision-making of autonomous vehicles, yet their creation and upkeep present significant cost and timeliness challenges. The online construction of HD maps using on-board se
Externí odkaz:
http://arxiv.org/abs/2409.05352
The data-driven method for infrared small target detection (IRSTD) has achieved promising results. However, due to the small scale of infrared small target datasets and the limited number of pixels occupied by the targets themselves, it is a challeng
Externí odkaz:
http://arxiv.org/abs/2411.13260
Annotation ambiguity caused by the inherent subjectivity of visual judgment has always been a major challenge for Facial Expression Recognition (FER) tasks, particularly for largescale datasets from in-the-wild scenarios. A potential solution is the
Externí odkaz:
http://arxiv.org/abs/2411.13024
Computerized Adaptive Testing (CAT) aims to select the most appropriate questions based on the examinee's ability and is widely used in online education. However, existing CAT systems often lack initial understanding of the examinee's ability, requir
Externí odkaz:
http://arxiv.org/abs/2411.12182
Atmospheric turbulence introduces severe spatial and geometric distortions, challenging traditional image restoration methods. We propose the Probabilistic Prior Turbulence Removal Network (PPTRN), which combines probabilistic diffusion-based prior m
Externí odkaz:
http://arxiv.org/abs/2411.10321
Existing face super-resolution (FSR) methods have made significant advancements, but they primarily super-resolve face with limited visual information, original pixel-wise space in particular, commonly overlooking the pluralistic clues, like the high
Externí odkaz:
http://arxiv.org/abs/2411.09293
Autor:
Jang, Hojun, Kim, Young Min
We present Reusable Motion prior (ReMP), an effective motion prior that can accurately track the temporal evolution of motion in various downstream tasks. Inspired by the success of foundation models, we argue that a robust spatio-temporal motion pri
Externí odkaz:
http://arxiv.org/abs/2411.09435
Visual odometry (VO) is essential for enabling accurate point-goal navigation of embodied agents in indoor environments where GPS and compass sensors are unreliable and inaccurate. However, traditional VO methods face challenges in wide-baseline scen
Externí odkaz:
http://arxiv.org/abs/2411.04796
Autor:
Feng, Brandon R., Yanchenko, Eric, Hill, K. Lloyd, Rosman, Lindsey A., Reich, Brian J., Rappold, Ana G.
Congestive heart failure (CHF) is a leading cause of morbidity, mortality and healthcare costs, impacting $>$23 million individuals worldwide. Large electronic health records data provide an opportunity to improve clinical management of diseases, but
Externí odkaz:
http://arxiv.org/abs/2411.04310
Due to privacy and security concerns, recent advancements in group fairness advocate for model training regardless of demographic information. However, most methods still require prior knowledge of demographics. In this study, we explore the potentia
Externí odkaz:
http://arxiv.org/abs/2411.02467