Sascha KirchinTowards Data ScienceVision Mamba: Like a Vision Transformer but BetterPart 4 — Towards Mamba State Space Models for Images, Videos and Time SeriesSep 167Sep 167
Sascha KirchinTowards Data ScienceHere Comes Mamba: The Selective State Space ModelPart 3 — Towards Mamba State Space Models for Images, Videos and Time SeriesSep 31Sep 31
Sascha KirchinTowards Data ScienceStructured State Space Models Visually ExplainedPart 2 — Towards Mamba State Space Models for Images, Videos and Time SeriesAug 223Aug 223
Sascha KirchinTowards Data ScienceTowards Mamba State Space Models for Images, Videos and Time SeriesPart 1Aug 14Aug 14
Sascha KirchinTowards Data ScienceThe Rise of Diffusion Models — A new Era of Generative Deep LearningDenoising Diffusion Probabilistic Models by J. Ho et. al.Mar 272Mar 272
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.Mar 202Mar 202
Sascha KirchinTowards Data ScienceTurn Yourself into a 3D Gaussian SplatA Hands-on Guide for PractitionersMar 147Mar 147
Sascha KirchinTowards Data ScienceDINO — A Foundation Model for Computer VisionEmerging Properties in Self-Supervised Vision Transformers by M. Caron et. al.Sep 27, 20231Sep 27, 20231
Sascha KirchinTowards Data ScienceSegment Anything — Promptable Segmentation of Arbitrary ObjectsSegment Anything by A. Krillov et. al.Sep 14, 20232Sep 14, 20232
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.Sep 7, 20232Sep 7, 20232