paper review 30

• [Paper Review] Deep Neural Networks for YouTube Recommendations 2025/02/06
• [Paper Review] SSD: Single Shot MultiBox Detector 2025/01/19
• [Paper Review] You Only Look Once: Unified, Real-Time Object Detection 2025/01/17
• [Paper Review] Very Deep Convolutional Networks for Large-Scale Image Recognition 2025/01/15
• [Paper Review] Rich feature hierarchies for accurate object detection and semantic segmentation 2025/01/15
• [Paper Review] Aggregated Residual Transformations for Deep Neural Networks 2025/01/07
• [Paper Review] Deep Residual Learning for Image Recognition 2025/01/05
• [Paper Review] Dropout Reduces Underfitting 2024/12/30
• [Paper Review] DeiT III: Revenge of the ViT 2024/12/20
• [Paper Review] Training data-efficient image transformers & distillation through attention 2024/12/20
• TODO list 2024/12/18
• [Paper Review] Vision Transformers Need Registers 2024/12/18
• [Paper Review] DINOv2: Learning Robust Visual Features without Supervision 2024/12/17
• [Paper Review] iBOT: Image BERT Pre-Training with Online Tokenizer 2024/12/16
• [Paper Review] BEiT: BERT Pre-Training of Image Transformers 2024/12/15
• [Paper Review] Emerging Properties in Self-Supervised Vision Transformers 2024/12/13
• [Paper Review] Vision Transformer Adapter for Dense Predictions 2024/12/06
• [Paper Review] Bootstrap your own latent: A new approach to self-supervised Learning 2024/11/28
• [Paper Review] MLP-Mixer: An all-MLP Architecture for Vision 2024/11/21
• [Paper Review] BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation 2024/11/15
• [Paper Review] Expanding Language-Image Pretrained Models for General Video Recognition 2024/11/01
• [Paper Review] Learning Transferable Visual Models From Natural Language Supervision 2024/11/01
• [Paper Review] DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection 2024/10/25
• [Paper Review] Deformable DETR: Deformable Transformers for End-to-End Object Detection 2024/10/23
• [Paper Review] Attention Bottlenecks for Multimodal Fusion 2024/10/15
• [Paper Review] Perceiver: General Perception with Iterative Attention 2024/10/13
• [Paper Review] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training 2024/10/11
• [Paper Review] Masked Autoencoders Are Scalable Vision Learners 2024/10/11
• [Paper Review] End-to-End Object Detection with Transformers 2024/10/07
• [Paper Review] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2024/10/04