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Search results for segmentation vision transformer
segmentation
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vision-transformer
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14 search results found
Transformer Explainability
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1,596
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Efficientvit
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732
EfficientViT is a new family of vision models for efficient high-resolution vision.
Geoseg
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382
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.
Maxvit
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340
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
Vt Unet
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210
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
Litv2
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210
[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"
Absvit
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120
Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)
Awesome Transformer In Medical Imaging
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103
[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Moganet
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100
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
Clip_surgery
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55
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
Croc
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19
This repo contains the code for the CVPR 2023 paper: "CrOC : Cross-View Online Clustering for Dense Visual Representation Learning".
Buildformer
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15
Building Extraction from remote sensing image using Vision Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022
Droppos
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8
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Transunetplus2
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5
Here are the codes for the "TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping" paper.
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