Giter VIP home page Giter VIP logo

mpatacchiola / contextual-squeeze-and-excitation Goto Github PK

View Code? Open in Web Editor NEW
24.0 24.0 1.0 16.2 MB

Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)

Home Page: https://arxiv.org/abs/2206.09843

License: MIT License

Python 100.00%
deep-learning few-shot-learning image-classification meta-learning paper pytorch squeeze-and-excitation squeeze-and-excitation-networks transfer-learning

contextual-squeeze-and-excitation's People

Contributors

mpatacchiola avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

Forkers

pvoravuti

contextual-squeeze-and-excitation's Issues

你好,在复现时候出现deepcopy错误

File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 270, in _reconstruct
state = deepcopy(state, memo)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 146, in deepcopy
y = copier(x, memo)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 230, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 296, in _reconstruct
value = deepcopy(value, memo)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 270, in _reconstruct
state = deepcopy(state, memo)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 146, in deepcopy
y = copier(x, memo)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 230, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\copy.py", line 153, in deepcopy
y = copier(memo)
File "C:\D_installation_packet\Anaconda\installion_package\envs\yolov6\lib\site-packages\torch\tensor.py", line 55, in deepcopy
raise RuntimeError("Only Tensors created explicitly by the user "
RuntimeError: Only Tensors created explicitly by the user (graph leaves) support the deepcopy protocol at the moment

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.