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Code for CVPR2023 paper:Adaptive Assignment for Geometry Aware Local Feature Matching
[ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"
[CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
CEFPN复现,论文未开源,关于CEFPN的处理是按照论文和自己的理解写的,如有问题欢迎指正
[ICML 2022] Channel Importance Matters in Few-shot Image Classification
Code of Compositional Feature Alignment for Finetuning CLIP and DINOv2
侯捷C++课程PPT及代码,动手学起来
Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)
CVPR 2023 论文和开源项目合集
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
EVA Series: Visual Representation Fantasies from BAAI
This repository consists of the feature visualization of VGG-16 deep model by training on CIFAR-10 and MedNIST datasets.
(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks
Few-Shot Learning with Global Class Representations
FSL-Mate: A collection of resources for few-shot learning (FSL).
[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition
[ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization
Learning Semantic Relationship among Instances for Image-Text Matching, CVPR, 2023
This a novel probabilistic model that integrates the image shape feature into the PMF with the CNN
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
Code for "PATS: Patch Area Transportation with Subdivision for Local Feature Matching", CVPR 2023
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Code for "Learning Orthogonal Prototypes for Generalized Few-shot Semantic Segmentation" [CVPR2023]
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Code release for Proto-CLIP
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.