晓飞的算法工程笔记

论文: EfficientNetV2: Smaller Models and Faster Training 论文地址：https://arxiv.org/abs/2104.00298 论文代码：ht

论文: Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition 论文地址：

论文: Should All Proposals be Treated Equally in Object Detection? 论文地址：https://arxiv.org/abs/2207.035

论文: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 论文地址：https://arxiv.org/a

论文: Incorporating Convolution Designs into Visual Transformers 论文地址：https://arxiv.org/abs/2103.11816

论文: Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification 论文地址：https://arx

论文: CerberusDet: Unified Multi-Dataset Object Detection 论文地址：https://arxiv.org/abs/2407.12632 论文代码：h

论文: MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models 论文地址：https://arxiv.org/abs

论文: Improving Object Detection via Local-global Contrastive Learning 论文地址：https://arxiv.org/abs/2410