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Chongqing University of Posts and Telecommunications
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🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.
Code for paper: DCOP-Net: A dual-filter cross attention and onion pooling network for few-shot medical image segmentation
The implementation of "Cross-domain Few-shot Medical Image Segmentation via Dynamic Semantic Matching"
[AAAI 25] FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
[ICML 2023] A Closer Look at Few-shot Classification Again
This is the official implementation for our CVPR2024 paper "Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation". The code will be released soon. Thanks for your attention.
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
Fhujinwu / PGRNet
Forked from donglongzi/PGRNet-for-FSS[IEEE TMI 2024] Prototype-Guided Graph Reasoning Network for Few-Shot Medical Image Segmentation
Deep Learning Papers on Medical Image Analysis
Qt based cross-platform GUI proxy configuration manager (backend: sing-box)
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
[IEEE TCYB 2024] CTNet: Contrastive Transformer Network for Polyp Segmentation
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
An up-to-date list of progress made in next-generation AI.
[Remote Sensing 2022] PGNet: Positioning Guidance Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Images
[IEEE TBD 2022] IEMask R-CNN: Information-enhanced Mask R-CNN
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
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Implementation of ConvMixer for "Patches Are All You Need? 🤷"
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
RS-SSKD: Self-Supervision Equipped with Knowledge Distillation for Few-Shot Remote Sensing Scene Classification
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch