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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2928634
Abstract: Single image-based crowd counting has recently witnessed increased focus, but many leading methods are far from optimal, especially in highly congested scenes. In this paper, we present the Hierarchical Attention-based Crowd Counting Network (HA-CCN) that…
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Keywords:
hierarchical attention;
counting network;
attention;
based crowd ... See more keywords
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Published in 2020 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.14.026521
Abstract: Abstract. With the advances in remote sensing, wild animals sprawling over a vast area can be easily and quickly captured using low-cost unmanned aerial vehicle imagery. We propose an aerial animal detection and counting network…
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Keywords:
counting network;
detection counting;
fsscaps detcountnet;
aerial images ... See more keywords
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Published in 2024 at "Agriculture"
DOI: 10.3390/agriculture14081347
Abstract: Soybean pod count is a crucial aspect of soybean plant phenotyping, offering valuable reference information for breeding and planting management. Traditional manual counting methods are not only costly but also prone to errors. Existing detection-based…
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Keywords:
pod counting;
soybean;
hdc strategy;
counting network ... See more keywords
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Published in 2024 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse12101823
Abstract: Real-time estimation of fish biomass plays a crucial role in real-world fishery production, as it helps formulate feeding strategies and other management decisions. In this paper, a dense fish counting network called Swin-CSRNet is proposed.…
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Keywords:
fish counting;
swin csrnet;
counting network;
csrnet ... See more keywords