Linear normalization, which is most common, involves shifting the number axis so the data is balanced around zero, and then ...
Therefore, a meaningful thinking for change detection is to decouple and capture the real changes of ground objects from multitemporal images ... Furthermore, an iterative interaction strategy of ...
Abstract: Camouflaged object detection (COD) and salient object detection (SOD ... In this work, we propose a simple yet effective network (SENet) based on vision Transformer (ViT), by employing a ...
Background Social media influencers who promote e-cigarettes on Instagram or TikTok for tobacco brands use marketing tactics ...
In this paper, a lightweight detection network that combined with Transformer and Convolutional ... changes greatly because of small angle deviation or center point deviation of the rotating target.
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' ...
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' ...
The sensor device is the part of the transducer that interacts with and changes in response to the physical world, detecting ...
In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...
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