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Posts tagged #SemanticSegmentation

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Make Class-Agnostic 3D Segmentation Efficient with 3DIML

Compared to previous lifting techniques, 3DIML achieves quick, precise 3D instance segmentation—25× faster. #semanticsegmentation

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Consistent 3D Mask Labeling Made Simple

3DIML uses quick mapping, lifting, and localization modules to transform 2D masks into consistent 3D labels. #semanticsegmentation

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Solving 3D Segmentation’s Biggest Bottleneck

Compared to previous neural field techniques, 3DIML achieves 14–24× faster training times for 3D instance segmentation from 2D photos. #semanticsegmentation

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AI Foundations Advance Domain Generalization for Semantic Segmentation

AI Foundations Advance Domain Generalization for Semantic Segmentation

Survey finds foundation models pretrained on large image collections boost semantic segmentation, achieving higher intersection‑over‑union on unseen domains. Read more: getnews.me/ai-foundations-advance-d... #dg #semanticsegmentation

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VPNeXt Rethinks Dense Decoding for Vision Transformers

VPNeXt Rethinks Dense Decoding for Vision Transformers

VPNeXt, a simplified Vision Transformer model, beats the prior state‑of‑the‑art mIoU on the VOC2012 benchmark, with its version 3 released on September 27 2025. Read more: getnews.me/vpnext-rethinks-dense-de... #vpnext #visiontransformer #semanticsegmentation

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Polarimetric Fusion Boosts Semantic Segmentation of Water Debris

Polarimetric Fusion Boosts Semantic Segmentation of Water Debris

Polarimetric imaging added to RGB segmentation raises mean IoU and cuts contour error for floating debris, shown on the PoTATO dataset of plastic bottles. Read more: getnews.me/polarimetric-fusion-boos... #polarimetric #semanticsegmentation

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Multimodal SAM-Adapter Boosts Robust Semantic Segmentation

Multimodal SAM-Adapter Boosts Robust Semantic Segmentation

A lightweight MM SAM-Adapter adds multimodal cues to the Segment Anything Model, delivering state-of-the-art results on DeLiVER, FMB and MUSES. Read more: getnews.me/multimodal-sam-adapter-b... #multimodal #semanticsegmentation

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SDFSeg: multiscale perception and deformable feature fusion for coastal ecosystem <p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d10530440e150">Monitoring coastal ecosystems is essential for mitigating pollution, preserving biodiversity, and und...

📄🔓 'SDFSeg: multiscale perception and deformable feature fusion for coastal ecosystem' - an article published in 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘵 𝘔𝘢𝘳𝘪𝘯𝘦 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘢𝘯𝘥 𝘚𝘺𝘴𝘵𝘦𝘮𝘴 on #ScienceOpen -

🖇️ #MarinePerception #CoastalEcosystems #SemanticSegmentation #DeepLearning

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New paper out! It's an overview of deep learning methods for 2D semantic segmentation with benchmarks, datasets, metrics, and insights into future directions.
Acks ➡️ Lusófona University, FCT, CTS/UNINOVA, LASIGE/FCUL
#semanticsegmentation #deeplearning #2dsegmentation
www.mdpi.com/2673-4117/6/...

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Article information including DOI, title, authors, abstract and keywords.

Article information including DOI, title, authors, abstract and keywords.

Analysing non-linearities and threshold effects between street-level built environments and local #crime patterns: An interpretable machine learning approach by Sugie Lee et al

buff.ly/JHLcL9c

#GoogleStreetView #SemanticSegmentation

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Multi-Stage #SemanticSegmentation Quantifies #Fragmentation of Small #Habitats at #Landscape Scale
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doi.org/10.3390/rs15...
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H/T @david-alexander.bsky.social
#GIS #spatial #mapping #remotesensing #landcover #AI #CNN #conservation #planning #management #machinelearning #PeakDistrict #UK #England

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