Sascha KirchinTowards Data ScienceThe Rise of Diffusion Models — A new Era of Generative Deep LearningDenoising Diffusion Probabilistic Models by J. Ho et. al.·13 min read·Mar 27, 2024--2--2
Sascha KirchinTowards Data ScienceDepth Anything —A Foundation Model for Monocular Depth EstimationDepth Anything: Unleashing the Power of Large-Scale Unlabeled Data by L. Yang et. al.·11 min read·Mar 20, 2024--1--1
Sascha KirchinTowards Data ScienceTurn Yourself into a 3D Gaussian SplatA Hands-on Guide for Practitioners·11 min read·Mar 14, 2024--7--7
Sascha KirchinTowards Data ScienceDINO — A Foundation Model for Computer VisionEmerging Properties in Self-Supervised Vision Transformers by M. Caron et. al.·13 min read·Sep 27, 2023--1--1
Sascha KirchinTowards Data ScienceSegment Anything — Promptable Segmentation of Arbitrary ObjectsSegment Anything by A. Krillov et. al.·12 min read·Sep 14, 2023--2--2
Sascha KirchinTowards Data ScienceBYOL -The Alternative to Contrastive Self-Supervised LearningBootstrap Your Own Latent: A New Approach to Self-Supervised Learning by J. Grill et. al.·10 min read·Sep 7, 2023--2--2
Sascha KirchinTowards Data ScienceGLIP: Introducing Language-Image Pre-Training to Object DetectionGrounded Language-Image Pre-training by L. H. Li et. al.·9 min read·Sep 1, 2023----
Sascha KirchinTowards Data ScienceThe CLIP Foundation ModelLearning Transferable Visual Models From Natural Language Supervision by A. Radford et. al.·8 min read·Aug 26, 2023----
Sascha KirchinTowards Data ScienceImplement Multi-GPU Training on a single GPUAn Advanced Guide for TensorFlow·3 min read·May 15, 2023----
Sascha KirchinTowards Data ScienceFourier CNNs with Kernel Sizes of 1024x1024 and LargerMulti-Dimensional Fourier Transformations in Convolutional Neural Networks·15 min read·May 31, 2022----