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End-to-End 3D Dense Captioning with Vote2Cap-DETR [PDF]
Computer Vision and Pattern Recognition, 2023 3D dense captioning aims to generate multiple captions localized with their associated object regions. Existing methods follow a sophisticated “detect-then-describe” pipeline equipped with numerous hand-crafted components.
Sijin Chen +5 more
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Frequency-Aware Feature Fusion for Dense Image Prediction [PDF]
IEEE Transactions on Pattern Analysis and Machine IntelligenceDense image prediction tasks demand features with strong category information and precise spatial boundary details at high resolution. To achieve this, modern hierarchical models often utilize feature fusion, directly adding upsampled coarse features ...
Linwei Chen +5 more
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Streaming Dense Video Captioning [PDF]
Computer Vision and Pattern RecognitionAn ideal model for dense video captioning - predicting captions localized temporally in a video - should be able to handle long input videos, predict rich, detailed textual descriptions, and be able to produce outputs before processing the entire video ...
Xingyi Zhou +7 more
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Canadian Geographer / Le géographe canadien, Volume 68, Issue 2, Page 212-223, Summer / été 2024.Résumé La publication de la Politique nationale de l'architecture et de l'aménagement du territoire du Québec (PNAAT) interpelle la géographie à plusieurs égards. Cette politique, qui résulte d'un processus d'élaboration de dix‐huit mois, est mise en récit autour du paradigme de l'aménagement durable, comme le veut la tendance générale aujourd'hui en ...
Martin Simard
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European Radiology, 2022 Breast density is an independent risk factor for the development of breast cancer and also decreases the sensitivity of mammography for screening. Consequently, women with extremely dense breasts face an increased risk of late diagnosis of breast cancer.
R. Mann +20 more
semanticscholar +1 more source
[School readiness and community mobilization: study retrospective in a Montreal area]. [PDF]
Can J Public Health, 2012 Laurin I, Bilodeau A, Chartrand S.
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SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
Computer Vision and Pattern Recognition, 2023Dense simultaneous localization and mapping (SLAM) is crucial for robotics and augmented reality applications. However, current methods are often hampered by the non-volumetric or implicit way they represent a scene.
Nikhil Varma Keetha +6 more
semanticscholar +1 more source
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
European Conference on Computer Vision, 2023Recent advances in contrastive language-image pretraining (CLIP) have demonstrated strong capabilities in zero-shot classification by aligning visual representations with target text embeddings in an image level.
Feng Wang, Jieru Mei, Alan L. Yuille
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Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
arXiv.org, 2023We present a dense simultaneous localization and mapping (SLAM) method that uses 3D Gaussians as a scene representation. Our approach enables interactive-time reconstruction and photo-realistic rendering from real-world single-camera RGBD videos. To this
Vladimir Yugay +3 more
semanticscholar +1 more source
Des voix en voie : les femmes, c(h)oeur et marges des avant-gardes
, 2012Des voix en voie. Les femmes, c(h)oeur et marges des avant-gardes étudie le dense réseau de relations établies par quelques figures féminines qui ont inspiré des projets et des recherches au sein des avant-gardes historiques dans le panorama français du ...
Elisa Borghino
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