Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Zhang Chen-lin"'
Publikováno v:
Advances in Mechanical Engineering, Vol 16 (2024)
Laser Powder Bed Fusion (LPBF) is a promising metal additive manufacturing technology based on layer by layer powder spreading, and powder bed uniformity has a great influence on the forming quality. By Discrete Element Method and powder spreading ex
Externí odkaz:
https://doaj.org/article/ea8bd98546584f3cbece07b311778d50
As a fundamental task in long-form video understanding, temporal action detection (TAD) aims to capture inherent temporal relations in untrimmed videos and identify candidate actions with precise boundaries. Over the years, various networks, includin
Externí odkaz:
http://arxiv.org/abs/2407.17792
Autor:
Zhou, Tianhao, Li, Haipeng, Wang, Ziyi, Luo, Ao, Zhang, Chen-Lin, Li, Jiajun, Zeng, Bing, Liu, Shuaicheng
Image stitching from different captures often results in non-rectangular boundaries, which is often considered unappealing. To solve non-rectangular boundaries, current solutions involve cropping, which discards image content, inpainting, which can i
Externí odkaz:
http://arxiv.org/abs/2403.19164
Recently, temporal action detection (TAD) has seen significant performance improvement with end-to-end training. However, due to the memory bottleneck, only models with limited scales and limited data volumes can afford end-to-end training, which ine
Externí odkaz:
http://arxiv.org/abs/2311.17241
Spatial-temporal action detection is a vital part of video understanding. Current spatial-temporal action detection methods mostly use an object detector to obtain person candidates and classify these person candidates into different action categorie
Externí odkaz:
http://arxiv.org/abs/2206.03064
Modern deep learning models require large amounts of accurately annotated data, which is often difficult to satisfy. Hence, weakly supervised tasks, including weakly supervised object localization~(WSOL) and detection~(WSOD), have recently received a
Externí odkaz:
http://arxiv.org/abs/2108.01785
Weakly supervised object detection~(WSOD) has recently attracted much attention. However, the lack of bounding-box supervision makes its accuracy much lower than fully supervised object detection (FSOD), and currently modern FSOD techniques cannot be
Externí odkaz:
http://arxiv.org/abs/2106.04073
Autor:
Xu, Ran, Zhang, Chen-lin, Wang, Pengcheng, Lee, Jayoung, Mitra, Subrata, Chaterji, Somali, Li, Yin, Bagchi, Saurabh
Advanced video analytic systems, including scene classification and object detection, have seen widespread success in various domains such as smart cities and autonomous transportation. With an ever-growing number of powerful client devices, there is
Externí odkaz:
http://arxiv.org/abs/2010.10754
Weakly supervised object localization (WSOL) aims to localize objects with only image-level labels. Previous methods often try to utilize feature maps and classification weights to localize objects using image level annotations indirectly. In this pa
Externí odkaz:
http://arxiv.org/abs/2002.11359
Action recognition is a vital task in computer vision, and many methods are developed to push it to the limit. However, current action recognition models have huge computational costs, which cannot be deployed to real-world tasks on mobile devices. I
Externí odkaz:
http://arxiv.org/abs/1906.07052