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pro vyhledávání: '"Cothren, Jackson"'
Object tracking is a fundamental task in computer vision, requiring the localization of objects of interest across video frames. Diffusion models have shown remarkable capabilities in visual generation, making them well-suited for addressing several
Externí odkaz:
http://arxiv.org/abs/2410.10053
The Vision-Language Foundation Model has recently shown outstanding performance in various perception learning tasks. The outstanding performance of the vision-language model mainly relies on large-scale pre-training datasets and different data augme
Externí odkaz:
http://arxiv.org/abs/2406.01432
Video scene graph generation (VidSGG) has emerged as a transformative approach to capturing and interpreting the intricate relationships among objects and their temporal dynamics in video sequences. In this paper, we introduce the new AeroEye dataset
Externí odkaz:
http://arxiv.org/abs/2406.01029
Continual Learning in semantic scene segmentation aims to continually learn new unseen classes in dynamic environments while maintaining previously learned knowledge. Prior studies focused on modeling the catastrophic forgetting and background shift
Externí odkaz:
http://arxiv.org/abs/2311.15965
Autor:
Yamazaki, Kashu, Hanyu, Taisei, Tran, Minh, de Luis, Adrian, McCann, Roy, Liao, Haitao, Rainwater, Chase, Adkins, Meredith, Cothren, Jackson, Le, Ngan
Aerial Image Segmentation is a top-down perspective semantic segmentation and has several challenging characteristics such as strong imbalance in the foreground-background distribution, complex background, intra-class heterogeneity, inter-class homog
Externí odkaz:
http://arxiv.org/abs/2306.06842
Autor:
Truong, Thanh-Dat, Duong, Chi Nhan, Dowling, Ashley, Phung, Son Lam, Cothren, Jackson, Luu, Khoa
Understanding semantic scene segmentation of urban scenes captured from the Unmanned Aerial Vehicles (UAV) perspective plays a vital role in building a perception model for UAV. With the limitations of large-scale densely labeled data, semantic scene
Externí odkaz:
http://arxiv.org/abs/2304.07199
Although Domain Adaptation in Semantic Scene Segmentation has shown impressive improvement in recent years, the fairness concerns in the domain adaptation have yet to be well defined and addressed. In addition, fairness is one of the most critical as
Externí odkaz:
http://arxiv.org/abs/2304.02135
Although unsupervised domain adaptation methods have achieved remarkable performance in semantic scene segmentation in visual perception for self-driving cars, these approaches remain impractical in real-world use cases. In practice, the segmentation
Externí odkaz:
http://arxiv.org/abs/2212.00621
Akademický článek
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Autor:
Cothren, Jackson D.
Reliability analysis explains the contribution of each observation in an estimation model to the overall redundancy of the model, taking into account the geometry of the network as well as the precision of the observations themselves. It is principal
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1085689960