Dilith Jayakody
AboutPublicationsCategoriesPrivacy Policy

Explained Posts

Kalman Filters - A Quick Introduction

Kalman Filters - A Quick Introduction

Sharpness-Aware Minimization (SAM) - A Quick Introduction

Sharpness-Aware Minimization (SAM) - A Quick Introduction

Model Predictive Path Integral (MPPI) - A Quick Introduction

Model Predictive Path Integral (MPPI) - A Quick Introduction

Transformers: A Quick Explanation with Code

Transformers: A Quick Explanation with Code

ColorRL for E2E Instance Segmentation: A Quick Overview

ColorRL for E2E Instance Segmentation: A Quick Overview

Reinforcement Cutting-Agent Learning for VOS - A Quick Overview

Reinforcement Cutting-Agent Learning for VOS - A Quick Overview

SeedNet for Interactive Segmentation - A Quick Overview

PARSeq for Scene Text Recognition: A Quick Overview

PARSeq for Scene Text Recognition: A Quick Overview

SOTA in Scene Text Recognition 2022: A Quick Overview

SOTA in Scene Text Recognition 2022: A Quick Overview

NT-Xent Loss - A Quick Overview

NT-Xent Loss - A Quick Overview

Dilith Jayakody

  • Dilith Jayakody
  • [email protected]
  • dilithjay
  • dilith_jayakody

Follow me as I dive into the depths of AI. You will find here a cup of computer vision, a few cups of math, and a truck-load of reinforcement learning.