From 0178b7722c63820d701b0442b5946d9a042074d7 Mon Sep 17 00:00:00 2001 From: Jordan Gong Date: Wed, 30 Dec 2020 11:14:26 +0800 Subject: Add pooling options in HPM MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit According to [1], we can use GAP and GMP together, or one of both in ablation study. [1]Y. Fu et al., “Horizontal pyramid matching for person re-identification,” in Proceedings of the AAAI Conference on Artificial Intelligence, 2019, vol. 33, pp. 8295–8302. --- models/hpm.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) (limited to 'models/hpm.py') diff --git a/models/hpm.py b/models/hpm.py index 1773f56..85a4e58 100644 --- a/models/hpm.py +++ b/models/hpm.py @@ -10,13 +10,15 @@ class HorizontalPyramidMatching(nn.Module): self, scales: tuple[int, ...] = (1, 2, 4, 8), out_channels: int = 256, - use_avg_pool: bool = False, + use_avg_pool: bool = True, + use_max_pool: bool = True, **kwargs ): super().__init__() self.scales = scales self.out_channels = out_channels self.use_avg_pool = use_avg_pool + self.use_max_pool = use_max_pool self.backbone = resnet50(pretrained=True) self.in_channels = self.backbone.layer4[-1].conv1.in_channels @@ -29,6 +31,7 @@ class HorizontalPyramidMatching(nn.Module): pyramid = [HorizontalPyramidPooling(self.in_channels, self.out_channels, use_avg_pool=self.use_avg_pool, + use_max_pool=self.use_max_pool, **kwargs) for _ in range(scale)] return pyramid -- cgit v1.2.3