東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Computer vision - ECCV 2024 Workshop...

European Conference on Computer Vision (2024 :)

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computer vision - ECCV 2024 Workshops/ edited by Alessio Del Bue ... [et al.].
Reminder of title:	Milan, Italy, September 29-October 4, 2024 : proceedings.
remainder title:	ECCV 2024 Workshops
other author:	Del Bue, Alessio.
corporate name:	European Conference on Computer Vision
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	lv, 352 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation. -- Advancing Medical Radiograph Representation Learning: A Hybrid Pretraining Paradigm with Multilevel Semantic Granularity. -- Can virtual staining for high-throughput screening generalize?. -- SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images. -- A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification. -- Boosting Medical Image Registration Network Inherently via Collaborative Learning. -- Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT. -- CHOTA: A Higher Order Accuracy Metric for Cell Tracking. -- Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification. -- Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images. -- BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans. -- Affinity-VAE: incorporating prior knowledge in representation learning from scientific images. -- Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models. -- Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis. -- SS-MIL: Attention-Based Selective Correlated Multiple Instance Learning for Whole Slide Image Classification. -- MicroSSIM: Improved Structured Similarity for Comparing Microscopy Data. -- Generalized Segmentation for Maxillary Sinus and Mandibular Canal in Dental Panoramic X-rays. -- MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation. -- NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful. -- Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics. -- A Novel Approach to Linking Histology Images with DNA Methylation.
Contained By:	Springer Nature eBook
Subject:	Computer vision - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-91721-9
ISBN:	9783031917219

Computer vision - ECCV 2024 Workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part XVI /
Computer vision - ECCV 2024 WorkshopsMilan, Italy, September 29-October 4, 2024 : proceedings.Part XVI /[electronic resource] :ECCV 2024 Workshopsedited 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,156381611-3349 ;. - Lecture notes in computer science ;15638..

Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation. -- Advancing Medical Radiograph Representation Learning: A Hybrid Pretraining Paradigm with Multilevel Semantic Granularity. -- Can virtual staining for high-throughput screening generalize?. -- SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images. -- A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification. -- Boosting Medical Image Registration Network Inherently via Collaborative Learning. -- Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT. -- CHOTA: A Higher Order Accuracy Metric for Cell Tracking. -- Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification. -- Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images. -- BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans. -- Affinity-VAE: incorporating prior knowledge in representation learning from scientific images. -- Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models. -- Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis. -- SS-MIL: Attention-Based Selective Correlated Multiple Instance Learning for Whole Slide Image Classification. -- MicroSSIM: Improved Structured Similarity for Comparing Microscopy Data. -- Generalized Segmentation for Maxillary Sinus and Mandibular Canal in Dental Panoramic X-rays. -- MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation. -- NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful. -- Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics. -- A Novel Approach to Linking Histology Images with DNA Methylation.

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: 9783031917219

Standard No.: 10.1007/978-3-031-91721-9doiSubjects--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 XVI /
LDR:03609nmm a2200349 a 4500 001 2409901
003 DE-He213
005 20250529130250.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031917219 $q (electronic bk.)
020 $a 9783031917202 $q (paper)
024 7 $a 10.1007/978-3-031-91721-9 $2 doi
035 $a 978-3-031-91721-9
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 XVI / $c edited by Alessio Del Bue ... [et al.].
246 3 $a ECCV 2024 Workshops
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 15638
505 0 $a Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation. -- Advancing Medical Radiograph Representation Learning: A Hybrid Pretraining Paradigm with Multilevel Semantic Granularity. -- Can virtual staining for high-throughput screening generalize?. -- SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images. -- A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification. -- Boosting Medical Image Registration Network Inherently via Collaborative Learning. -- Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT. -- CHOTA: A Higher Order Accuracy Metric for Cell Tracking. -- Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification. -- Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images. -- BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans. -- Affinity-VAE: incorporating prior knowledge in representation learning from scientific images. -- Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models. -- Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis. -- SS-MIL: Attention-Based Selective Correlated Multiple Instance Learning for Whole Slide Image Classification. -- MicroSSIM: Improved Structured Similarity for Comparing Microscopy Data. -- Generalized Segmentation for Maxillary Sinus and Mandibular Canal in Dental Panoramic X-rays. -- MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation. -- NCT-CRC-HE: Not All Histopathological Datasets Are Equally Useful. -- Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics. -- A Novel Approach to Linking Histology Images with DNA Methylation.
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 15638. $3 3783443
856 4 0 $u https://doi.org/10.1007/978-3-031-91721-9
950 $a Computer Science (SpringerNature-11645)