PCA-Net
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PRIS-CV
Progressive Co-Attention Network for Fine-Grained Visual Classification
Target_centers are normlized before calculating center offset. `target_centers = torch.nn.functional.normalize(target_centers, dim=-1) center_offset = (1-alpha)*(features.detach() - target_centers)` However, if features' norm is bigger than 1, these centers will move towards inf....
训练了53个epoch，测试准确度还是只有0.39%，第1个epoch的时候准确度就是0.4多。说明真个训练网络都没有学习到。想问下我们这工程是论文官方的工程代码吗？是否能给出我们训练的结果？ 训练数据使用bird，过程数据如下： epoch | train_acc | train_loss -- | -- | -- 3 | 0.3504 | 5.3009 4 | 0.317 | 5.3007 51 | 0.367 | 5.2985 52 | 0.4171...
could you tell me why just take 32 channels feature map as attention map for fusioning？
