Abstract: Highlights•A novel Mixed-Scale Network(MSNet) is proposed to form an expressive representation.•Global feature aggregation module aggregates the features from mixed-scale images.•Global feature enhancement module alleviates the problem of information loss.•Local feature aggregation module further locally refine the instance feature.•Extensive experiments show that MSNet gains consistent performance.
External IDs:dblp:journals/eswa/WangJZWL25
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