RTAD: A Real-Time Animal Object Detection Model Based on a Large Selective Kernel and Channel Pruning
Sicong Liu,
Qingcheng Fan,
Chunjiang Zhao
et al.
Abstract:Animal resources are significant to human survival and development and the ecosystem balance. Automated multi-animal object detection is critical in animal research and conservation and ecosystem monitoring. The objective is to design a model that mitigates the challenges posed by the large number of parameters and computations in existing animal object detection methods. We developed a backbone network with enhanced representative capabilities to pursue this goal. This network combines the foundational struct… Show more
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