Collaborative Group: Composed Image Retrieval via Consensus Learning from Noisy Annotations
专题命中 跨模态检索 :image-text(abstract);分类 cs.CV
Comments Accepted by Knowledge-Based Systems (KBS)
Journal ref Knowl. Based. Syst. 300 (2024) 112135
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
专题命中 跨模态检索 :image-text(abstract);分类 cs.CV
Comments Accepted by Knowledge-Based Systems (KBS)
Journal ref Knowl. Based. Syst. 300 (2024) 112135
专题命中 跨模态检索 :multimodal(abstract);分类 cs.AI
Comments ECAI 2024
专题命中 跨模态检索 :cross-modal(abstract);分类 cs.AI
Comments 9 pages, 4 figures, 4 tables
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CV
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CV
Comments Accepted for publication in IEEE Transactions on Geoscience and Remote Sensing (TGRS)
专题命中 跨模态检索 :cross-modal(abstract);分类 cs.CV
Comments Accepted to IEEE Conference on Multimedia Expo 2024
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CL
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CV
Comments ECCV 2024
专题命中 跨模态检索 :cross-modal(abstract);分类 cs.CV
Comments I need to further debug my code to improve accuracy
专题命中 跨模态检索 :multi-modal(abstract);分类 cs.CV
Comments Main paper 1-12 page, Supplementary 13-34 page
Journal ref ACM Transactions on Graphics (TOG) 2023, Volume 42, Issue 4 Article No.: 56, Pages 1 - 12
专题命中 跨模态检索 :multimodal(abstract);分类 cs.AI
专题命中 跨模态检索 :multi-modal(abstract);分类 cs.CV
Comments ECCV24
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CV
Comments ECCV 2024 Camera-Ready
专题命中 跨模态检索 :multi-modal(abstract);分类 cs.AI
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CL
专题命中 跨模态检索 :multimodal(abstract);分类 cs.AI
Comments 11 pages, 9 figures
专题命中 跨模态检索 :cross-modal(abstract);分类 cs.CV
Comments Accepted in European Conference on Computer Vision (ECCV) 2024
专题命中 跨模态检索 :multi-modal(abstract);分类 cs.CV
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CL
专题命中 跨模态检索 :cross-modal(abstract);分类 cs.MM
Comments This work has been submitted to the lEEE for possible publication. Copyright may betransferred without notice, after which this version may no longer be accessible
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CL
Comments 5 pages, 1 figure, 15th International Particle Accelerator Conference
专题命中 跨模态检索 :image-text(abstract);分类 cs.CV
Comments ACM MM2023
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CL
专题命中 跨模态检索 :multi-modal(abstract);分类 cs.AI
专题命中 跨模态检索 :cross-modal(abstract);分类 cs.CV
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CV
Comments Accepted at AVSS 2024
专题命中 跨模态检索 :multimodal(abstract);分类 cs.CV
Comments In the methods section, unpaired face samples should be used for training during negative sample training, rather than paired samples. Corresponding errors are also present in the subsequent experimental results
专题命中 跨模态检索 :multi-modal(abstract);分类 cs.CV
专题命中 跨模态检索 :cross-modal(abstract);分类 cs.CV
Comments 44 pages, 6 figures
Journal ref Remote Sens. 2024, 16, 1653
专题命中 跨模态检索 :image-text(abstract);分类 cs.CV
Comments Accepted into Machine Learning for Health (ML4H) 2023