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GitHub / Airgods / CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification
Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)
Fork of leesb7426/CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification
Stars: 0
Forks: 0
Open Issues: 0
License: None
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Repo Size: 3.51 MB
Dependencies:
109
Created: over 1 year ago
Updated: 10 months ago
Last pushed: almost 2 years ago
Last synced: 10 months ago
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Dependencies
requirements.txt
pypi
- Cython ==0.29.9
- Keras ==2.2.4
- Keras-Applications ==1.0.7
- Keras-Preprocessing ==1.0.9
- Markdown ==3.1.1
- Pillow ==6.0.0
- PyWavelets ==1.0.3
- PyYAML ==5.1
- SQLAlchemy ==1.3.4
- SQLAlchemy-Utils ==0.33.11
- Werkzeug ==0.15.4
- absl-py ==0.7.1
- apex ==0.1
- astor ==0.8.0
- attrs ==19.3.0
- beautifulsoup4 ==4.8.2
- boto ==2.49.0
- boto3 ==1.9.158
- botocore ==1.12.158
- certifi ==2019.3.9
- cffi ==1.12.3
- chainer ==6.4.0
- chainercv ==0.13.1
- chardet ==3.0.4
- cloudpickle ==1.1.1
- colorama ==0.4.1
- cxxfilt ==0.2.0
- cycler ==0.10.0
- decorator ==4.4.0
- docker-py ==1.10.6
- docker-pycreds ==0.4.0
- docutils ==0.14
- easydict ==1.9
- fakeredis ==1.0.3
- filelock ==3.0.12
- gast ==0.2.2
- google ==2.0.3
- graphviz ==0.8.4
- grpcio ==1.21.1
- h5py ==2.9.0
- horovod ==0.16.2
- idna ==2.8
- imageio ==2.5.0
- importlib-metadata ==1.2.0
- jmespath ==0.9.4
- joblib ==0.13.2
- json-tricks ==3.13.1
- kiwisolver ==1.1.0
- libkeepass ==0.3.0
- lxml ==4.3.3
- matplotlib ==3.0.3
- mock ==3.0.5
- more-itertools ==8.0.1
- msgpack ==0.6.1
- msgpack-numpy ==0.4.4.3
- munkres ==1.1.2
- mxnet-cu100mkl ==1.4.1
- networkx ==2.3
- numpy ==1.16.4
- packaging ==19.2
- pandas ==0.24.2
- passlib ==1.7.1
- pathlib2 ==2.3.5
- pg8000 ==1.13.1
- pluggy ==0.13.1
- protobuf ==3.10.0
- psutil ==5.6.2
- py ==1.8.0
- pycocotools ==2.0
- pycparser ==2.19
- pycryptodome ==3.8.1
- pycurl ==7.43.0
- pydensecrf ==1.0rc3
- pygobject ==3.20.0
- pyparsing ==2.4.0
- pytest ==5.3.1
- python-apt ==1.1.0b1
- python-dateutil ==2.8.0
- pytz ==2019.1
- pyzmq ==18.0.1
- redis ==3.2.1
- requests ==2.22.0
- s3transfer ==0.2.0
- scikit-image ==0.15.0
- scikit-learn ==0.21.2
- scipy ==1.3.0
- six ==1.12.0
- sortedcontainers ==2.1.0
- soupsieve ==1.9.5
- tabulate ==0.8.3
- tensorboard ==1.13.1
- tensorboardX ==1.9
- tensorflow-estimator ==1.13.0
- tensorflow-gpu ==1.13.1
- tensorpack ==0.9.0.1
- termcolor ==1.1.0
- thop ==0.0.31.post2001170342
- torch ==1.2.0
- torchvision ==0.4.1
- tqdm ==4.32.1
- typing ==3.6.6
- typing-extensions ==3.6.6
- urllib3 ==1.25.3
- wcwidth ==0.1.7
- websocket-client ==0.56.0
- yac ==1.4.6
- yacs ==0.1.6
- zipp ==0.6.0
- zmq-ops ==0.1.0