{"product_id":"computer-vision-eccv-2024-workshops-9783031918346","title":"Computer Vision  ECCV 2024 Workshops","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eWild Berry image dataset collected in Finnish forests and peatlands using drones.- Soybean pod and seed counting in both outdoor fields and indoor laboratories using unions of deep neural networks.- A Framework for Enhanced Decision Support in Digital Agriculture Using Explainable Machine Learning.- Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw).- 3D Phenotyping of Canopy Occupation Volume as a Major Predictor for Canopy Photosynthesis in Rice (Oryza sativa L.).- Retrieval of sun-induced plant fluorescence in the O2-A absorption band from DESIS imagery.- Unsupervised Tomato Split Anomaly Detection using Hyperspectral Imaging and Variational Autoencoders.- KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation.- RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection.- Consolidation of symbolic instances using sensor data via tracklet merging for long-term monitoring of crops.- Automated Generation of Accurate, Compact and Focused Crop and Weed Segmentation Models.- Comparative Analysis of YOLOv9, YOLOv10 and RT-DETR for Real-Time Weed Detection.- Towards Auto-Generated Ground Truth for Evaluation of Perception Systems in Agriculture.- AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language Models.- Deep Learning Based Growth Modeling of Plant Phenotypes.- A simple approach to pavement cell segmentation.- Enhancing weed detection performance by means of GenAI-based image augmentation.- SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture.- Robust UDA for Crop and Weed Segmentation: Multi-Scale Attention and Style-Adaptive Techniques.- Ordinal-Meta Learning for Fine-grained Fruit Quality Prediction.- Beyond Annotations: Efficient Wheat Head Segmentation Using L-Systems, Game Engines, and Student-Teacher Models.- Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195479908695,"sku":"9783031918346","price":123.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/computer-vision-eccv-2024-workshops-9783031918346","provider":"Book Curl","version":"1.0","type":"link"}