MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

MobileNet: 使用深度可分离卷积构造轻量网络.

EfficientNetV2: Smaller Models and Faster Training

EfficientNetV2: 更小的模型和更快的训练.

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

EfficientNet: 重新考虑卷积神经网络的缩放.

轻量级(LightWeight)卷积神经网络

Lightweight Convolutional Neural Networks.

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

GradNorm: 使用梯度标准化调整多任务损失权重.

Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning

通过损失平衡任务加权解决多任务学习中的负迁移.