diff --git a/Presentation/2024春季论文汇报-杨思洁.pptx b/Presentation/2024春季论文汇报-杨思洁.pptx new file mode 100644 index 0000000..3d0eebc Binary files /dev/null and b/Presentation/2024春季论文汇报-杨思洁.pptx differ diff --git a/Presentation/CS231n学习汇报-杨思洁.pptx b/Presentation/CS231n学习汇报-杨思洁.pptx new file mode 100644 index 0000000..08c8fe0 Binary files /dev/null and b/Presentation/CS231n学习汇报-杨思洁.pptx differ diff --git a/Presentation/readme.md b/Presentation/readme.md new file mode 100644 index 0000000..e034f93 --- /dev/null +++ b/Presentation/readme.md @@ -0,0 +1,38 @@ +# ————2022.11.29 CS231n学习汇报 + 介绍CS231n部分的学习，包含计算机视觉简介、图像分类（K最邻近算法、线性分类）、神经网络以及卷积神经网络部分 + +# ————2022.12.30 行人重识别任务汇报 + 关于行人重识别第一个阶段的学习汇报 + +# ————2023.9 行人检测汇报 + 关于行人检测系列论文汇报汇总 +* Co-Scale Conv-Attentional Image Transformers +* LEAPS: End-to-End One-Step Person Search With Learnable Proposals +* Cascade Transformers for End-to-End Person Search +* PSTR: End-to-End One-Step Person Search With Transformers +* FCOS: Fully Convolutional One-Stage Object Detection +* Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection + +# ————2024.1 相关论文阅读汇报 + 包含其他方面结合MAE部分的汇报 +* Generic-to-Specific Distillation of Masked Autoencoders + +# ————2024.3 2024春季论文汇报 + 包含MAE有关工作及文章部分汇总 +* Masked Autoencoders Are Scalable Vision Learners +* BEiT: BERT Pre-Training of Image Transformers +* BEIT V2: Masked Image Modeling with Vector-Quantized Visual Tokenizers +* Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality +* HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling +* MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers +* MultiMAE: Multi-modal Multi-task Masked Autoencoders +* ConvMAE: Masked Convolution Meets Masked Autoencoders +* RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder +* Siamese Masked Autoencoders + +* Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation +* Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection + +* Masked Image Modeling with Local Multi-Scale Reconstruction +* VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training +* VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking diff --git a/Presentation/相关论文阅读汇报-杨思洁.pptx b/Presentation/相关论文阅读汇报-杨思洁.pptx new file mode 100644 index 0000000..b6e0235 Binary files /dev/null and b/Presentation/相关论文阅读汇报-杨思洁.pptx differ diff --git a/Presentation/行人检测汇报-杨思洁.pptx b/Presentation/行人检测汇报-杨思洁.pptx new file mode 100644 index 0000000..2edc304 Binary files /dev/null and b/Presentation/行人检测汇报-杨思洁.pptx differ diff --git a/Presentation/行人重识别任务汇报-杨思洁.pptx b/Presentation/行人重识别任务汇报-杨思洁.pptx new file mode 100644 index 0000000..4921b76 Binary files /dev/null and b/Presentation/行人重识别任务汇报-杨思洁.pptx differ