Abstract: The perception of Deformable Linear Objects (DLOs) is a challenging task due to their complex and ambiguous appearance, lack of discernible features, typically small sizes, and deformability ...
Abstract: Transformer-based object detection models usually adopt an encoding-decoding architecture that mainly combines self-attention (SA) and multilayer perceptron (MLP). Although this architecture ...
Background The annual births in our hospital (a regional perinatal centre for the southeastern coastal region) had increased to nearly 19 000 in 2019, straining the resources. Reduced low-risk ...
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