東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computer vision - ECCV 2024 Workshop...

European Conference on Computer Vision (2024 :)

FindBook

Google Book

Amazon

博客來

Computer vision - ECCV 2024 Workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part III /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer vision - ECCV 2024 Workshops/ edited by Alessio Del Bue ... [et al.].
其他題名:	Milan, Italy, September 29-October 4, 2024 : proceedings.
其他作者:	Del Bue, Alessio.
團體作者:	European Conference on Computer Vision
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	lv, 352 p. :ill. (some col.), digital ;24 cm.
內容註:	Wild 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.
Contained By:	Springer Nature eBook
標題:	Computer vision - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-91835-3
ISBN:	9783031918353

Computer vision - ECCV 2024 Workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part III /
Computer vision - ECCV 2024 WorkshopsMilan, Italy, September 29-October 4, 2024 : proceedings.Part III /[electronic resource] :edited by Alessio Del Bue ... [et al.]. - Cham :Springer Nature Switzerland :2025. - lv, 352 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,156251611-3349 ;. - Lecture notes in computer science ;15625..

Wild 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.

The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29-October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.

ISBN: 9783031918353

Standard No.: 10.1007/978-3-031-91835-3doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Computer vision - ECCV 2024 Workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part III /
LDR:03563nmm a2200337 a 4500 001 2409880
003 DE-He213
005 20250526130251.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031918353 $q (electronic bk.)
020 $a 9783031918346 $q (paper)
024 7 $a 10.1007/978-3-031-91835-3 $2 doi
035 $a 978-3-031-91835-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYT $2 thema
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .E89 2024
111 2 $a European Conference on Computer Vision $n (18th : $d 2024 : $c Milan, Italy) $3 3733323
245 1 0 $a Computer vision - ECCV 2024 Workshops $h [electronic resource] : $b Milan, Italy, September 29-October 4, 2024 : proceedings. $n Part III / $c edited by Alessio Del Bue ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a lv, 352 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15625
505 0 $a Wild 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.
520 $a The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29-October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of workshops and distribution of the workshop papers in the LNCS volumes can be found in the preface that is freely accessible online.
650 0 $a Computer vision $x Congresses. $3 570734
650 0 $a Pattern recognition systems $v Congresses. $3 563039
650 1 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Image Processing. $3 891209
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Special Purpose and Application-Based Systems. $3 892492
700 1 $a Del Bue, Alessio. $3 3783387
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 15625. $3 3783410
856 4 0 $u https://doi.org/10.1007/978-3-031-91835-3
950 $a Computer Science (SpringerNature-11645)