Zobrazeno 1 - 10
of 23 894
pro vyhledávání: '"object localization"'
Object localization is a hot issue in computer vision area, which aims to identify and determine the precise location of specific objects from image or video. Most existing object localization methods heavily rely on extensive labeled data, which are
Externí odkaz:
http://arxiv.org/abs/2411.11357
Autor:
Pöllabauer, Thomas
Localizing target objects in images is an important task in computer vision. Often it is the first step towards solving a variety of applications in autonomous driving, maintenance, quality insurance, robotics, and augmented reality. Best in class so
Externí odkaz:
http://arxiv.org/abs/2411.13149
Autor:
Zunair, Hasib, Hamza, A. Ben
Localizing objects in an unsupervised manner poses significant challenges due to the absence of key visual information such as the appearance, type and number of objects, as well as the lack of labeled object classes typically available in supervised
Externí odkaz:
http://arxiv.org/abs/2407.17628
Natural distribution shift causes a deterioration in the perception performance of convolutional neural networks (CNNs). This comprehensive analysis for real-world traffic data addresses: 1) investigating the effect of natural distribution shift and
Externí odkaz:
http://arxiv.org/abs/2409.03543
Millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems capable of integrated sensing and communication (ISAC) constitute a key technology for connected autonomous vehicles (CAVs). In this context, we propose a multi-beam object-locali
Externí odkaz:
http://arxiv.org/abs/2408.14312
Autor:
Arul, Senthil Hariharan, Kumar, Dhruva, Sugirtharaj, Vivek, Kim, Richard, Xuewei, Qi, Madhivanan, Rajasimman, Sen, Arnie, Manocha, Dinesh
We present VLPG-Nav, a visual language navigation method for guiding robots to specified objects within household scenes. Unlike existing methods primarily focused on navigating the robot toward objects, our approach considers the additional challeng
Externí odkaz:
http://arxiv.org/abs/2408.08301
Weakly-Supervised Video Object Localization (WSVOL) involves localizing an object in videos using only video-level labels, also referred to as tags. State-of-the-art WSVOL methods like Temporal CAM (TCAM) rely on class activation mapping (CAM) and ty
Externí odkaz:
http://arxiv.org/abs/2407.06018
Cooperative multi-monostatic sensing enables accurate positioning of passive targets by combining the sensed environment of multiple base stations (BS). In this work, we propose a novel fusion algorithm that optimally finds the weight to combine the
Externí odkaz:
http://arxiv.org/abs/2408.16464
Publikováno v:
Engineering Applications of Artificial Intelligence, 2024
Weakly-supervised learning approaches have gained significant attention due to their ability to reduce the effort required for human annotations in training neural networks. This paper investigates a framework for weakly-supervised object localizatio
Externí odkaz:
http://arxiv.org/abs/2404.09475