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pro vyhledávání: '"Liu, Fangcen"'
Infrared and visible dual-modality tasks such as semantic segmentation and object detection can achieve robust performance even in extreme scenes by fusing complementary information. Most current methods design task-specific frameworks, which are lim
Externí odkaz:
http://arxiv.org/abs/2409.00973
Infrared-visible object detection aims to achieve robust object detection by leveraging the complementary information of infrared and visible image pairs. However, the commonly existing modality misalignment problem presents two challenges: fusing mi
Externí odkaz:
http://arxiv.org/abs/2408.06123
Autor:
Gao, Chenqiang, Liu, Chuandong, Shu, Jun, Liu, Fangcen, Liu, Jiang, Yang, Luyu, Gao, Xinbo, Meng, Deyu
Current state-of-the-art (SOTA) 3D object detection methods often require a large amount of 3D bounding box annotations for training. However, collecting such large-scale densely-supervised datasets is notoriously costly. To reduce the cumbersome dat
Externí odkaz:
http://arxiv.org/abs/2403.02818
Infrared-visible object detection aims to achieve robust even full-day object detection by fusing the complementary information of infrared and visible images. However, highly dynamically variable complementary characteristics and commonly existing m
Externí odkaz:
http://arxiv.org/abs/2403.00326
In recent years, the foundation models have swept the computer vision field and facilitated the development of various tasks within different modalities. However, it remains an open question on how to design an infrared foundation model. In this pape
Externí odkaz:
http://arxiv.org/abs/2402.00407
State-of-the-art 3D object detectors are usually trained on large-scale datasets with high-quality 3D annotations. However, such 3D annotations are often expensive and time-consuming, which may not be practical for real applications. A natural remedy
Externí odkaz:
http://arxiv.org/abs/2304.01464
The infrared small-dim target detection is one of the key techniques in the infrared search and tracking system. Since the local regions similar to infrared small-dim targets spread over the whole background, exploring the interaction information amo
Externí odkaz:
http://arxiv.org/abs/2109.14379
Infrared small target detection plays an important role in the infrared search and tracking applications. In recent years, deep learning techniques were introduced to this task and achieved noteworthy effects. Following general object segmentation me
Externí odkaz:
http://arxiv.org/abs/2108.06054
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