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Found 3 papers, 1 papers with code
ShadowRemovalNet: Efficient Real-Time Shadow Removal
We propose ShadowRemovalNet, a novel method designed for real-time image processing on resource-constrained hardware.
WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets
WeedCLR is evaluated on two public weed datasets: CottonWeedID15, containing 15 weed species, and DeepWeeds, containing 8 weed species.
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
This work contributes the first large, public, multiclass image dataset of weed species from the Australian rangelands; allowing for the development of robust classification methods to make robotic weed control viable.
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