Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Han, Dongshen"'
Segment anything model (SAM) addresses two practical yet challenging segmentation tasks: \textbf{segment anything (SegAny)}, which utilizes a certain point to predict the mask for a single object of interest, and \textbf{segment everything (SegEvery)
Externí odkaz:
http://arxiv.org/abs/2312.09579
Autor:
Han, Dongshen, Lee, Seungkyu, Zhang, Chaoning, Yoon, Heechan, Kwon, Hyukmin, Kim, HyunCheol, Choo, HyonGon
Single Image Reflection Removal (SIRR) in real-world images is a challenging task due to diverse image degradations occurring on the glass surface during light transmission and reflection. Many existing methods rely on specific prior assumptions to r
Externí odkaz:
http://arxiv.org/abs/2312.03798
As Segment Anything Model (SAM) becomes a popular foundation model in computer vision, its adversarial robustness has become a concern that cannot be ignored. This works investigates whether it is possible to attack SAM with image-agnostic Universal
Externí odkaz:
http://arxiv.org/abs/2310.12431
Autor:
Han, Dongshen, Lee, Seungkyu, Zhang, Chaoning, Yoon, Heechan, Kwon, Hyukmin, Kim, Hyun-Cheol, Choo, Hyon-Gon
Glass surfaces of transparent objects and mirrors are not able to be uniquely and explicitly characterized by their visual appearances because they contain the visual appearance of other reflected or transmitted surfaces as well. Detecting glass regi
Externí odkaz:
http://arxiv.org/abs/2307.00212
Autor:
Zhang, Chaoning, Han, Dongshen, Qiao, Yu, Kim, Jung Uk, Bae, Sung-Ho, Lee, Seungkyu, Hong, Choong Seon
Segment Anything Model (SAM) has attracted significant attention due to its impressive zero-shot transfer performance and high versatility for numerous vision applications (like image editing with fine-grained control). Many of such applications need
Externí odkaz:
http://arxiv.org/abs/2306.14289
Publikováno v:
Oil Drilling & Production Technology / Shiyou Zuancai Gongyi; Jul2014, Vol. 36 Issue 4, p79-83, 5p
