Add resnet12_drop backbone and DMF classifier

DMF_setup.py

@@ -0,0 +1,75 @@
+# -*- coding: utf-8 -*-
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+# !/usr/bin/env python
+
+import glob
+import os
+
+import torch
+from setuptools import find_packages
+from setuptools import setup
+from torch.utils.cpp_extension import CUDA_HOME
+from torch.utils.cpp_extension import CppExtension
+from torch.utils.cpp_extension import CUDAExtension
+
+requirements = ["torch", "torchvision"]
+
+
+def get_extensions():
+    this_dir = os.path.dirname(os.path.abspath(__file__))
+    extensions_dir = os.path.join(this_dir, "dconv", "csrc")
+
+    main_file = glob.glob(os.path.join(extensions_dir, "*.cpp"))
+    source_cpu = glob.glob(os.path.join(extensions_dir, "cpu", "*.cpp"))
+    source_cuda = glob.glob(os.path.join(extensions_dir, "cuda", "*.cu"))
+
+    sources = main_file + source_cpu
+    extension = CppExtension
+
+    extra_compile_args = {"cxx": []}
+    define_macros = []
+
+    if (torch.cuda.is_available() and CUDA_HOME is not None) or os.getenv("FORCE_CUDA", "0") == "1":
+        extension = CUDAExtension
+        sources += source_cuda
+        define_macros += [("WITH_CUDA", None)]
+        extra_compile_args["nvcc"] = [
+            "-DCUDA_HAS_FP16=1",
+            "-D__CUDA_NO_HALF_OPERATORS__",
+            "-D__CUDA_NO_HALF_CONVERSIONS__",
+            "-D__CUDA_NO_HALF2_OPERATORS__",
+        ]
+
+    sources = [os.path.join(extensions_dir, s) for s in sources]
+
+    include_dirs = [extensions_dir]
+
+    ext_modules = [
+        extension(
+            "dconv._C",
+            sources,
+            include_dirs=include_dirs,
+            define_macros=define_macros,
+            extra_compile_args=extra_compile_args,
+        )
+    ]
+
+    return ext_modules
+
+
+setup(
+    name="dconv",
+    version="0.1",
+    author="fmassa",
+    url="https://github.com/facebookresearch/maskrcnn-benchmark",
+    description="object detection in pytorch",
+    packages=find_packages(
+        exclude=(
+            "configs",
+            "tests",
+        )
+    ),
+    # install_requires=requirements,
+    ext_modules=get_extensions(),
+    cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
+)

README.md

@@ -36,6 +36,7 @@ Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing
 + [FEAT (CVPR 2020)](http://arxiv.org/abs/1812.03664)
 + [RENet (ICCV 2021)](https://arxiv.org/abs/2108.09666)
 + [FRN (CVPR 2021)](https://arxiv.org/abs/2012.01506)
++ [DMF (CVPR 2021)](https://arxiv.org/pdf/2103.13582)
 + [DeepBDC (CVPR 2022)](https://arxiv.org/abs/2204.04567)
 + [CPEA (ICCV 2023)](https://openaccess.thecvf.com/content/ICCV2023/papers/Hao_Class-Aware_Patch_Embedding_Adaptation_for_Few-Shot_Image_Classification_ICCV_2023_paper.pdf)
 

config/DMF.yaml

@@ -0,0 +1,39 @@
+includes:
+- headers/data.yaml
+- headers/device.yaml
+- headers/misc.yaml
+- headers/model.yaml
+- headers/optimizer.yaml
+
+way_num: 5
+shot_num: 1
+query_num: 6
+episode_size: 8
+train_episode: 2000
+test_episode: 1200
+
+device_ids: 0,1,2,3
+n_gpu: 4
+epoch: 120
+
+optimizer:
+  name: SGD
+  kwargs:
+    lr: 0.05
+    momentum: 0.9
+    nesterov: true
+    weight_decay: 0.0005
+  other: null
+
+backbone:
+  name: resnet12_drop
+  kwargs:
+    drop_block: true
+
+classifier:
+  name: DMF
+  kwargs:
+    num_class: 64
+    nFeat: 640
+    kernel: 1
+    groups: 64

config/backbones/resnet12_drop.yaml

@@ -0,0 +1,4 @@
+backbone:
+  name: resnet12_drop
+  kwargs:
+    drop_block: true

config/classifiers/DMF.yaml

@@ -0,0 +1,7 @@
+classifier:
+  name: DMF
+  kwargs:
+    num_class: 64
+    nFeat: 64
+    kernel: 3
+    groups: 1

core/model/backbone/__init__.py

@@ -8,6 +8,7 @@
 from .swin_transformer import swin_s, swin_l, swin_b, swin_t, swin_mini
 from .resnet_bdc import resnet12Bdc, resnet18Bdc
 from core.model.backbone.utils.maml_module import convert_maml_module
+from .resnet12_drop import resnet12_drop
 
 
 def get_backbone(config):