blog Featured
Notes - Grounded SAM
What is Grounded SAM? The Grounded SAM paper introduces a novel approach to open-set segmentation by combining two powerful pre-trained models...
Papers
A collection of 9 posts tagged with "papers".
papers Featured
NOTES: Can LLMs truly reason?
Can LLMs actually reason, or are they just “probabilistic pattern matchers”? This paper attempts to answer that question.
papers Featured
NOTES: Retrieval-Augmented Generation for Large Language Models
Here is a short compilation of bullet points gathered while reading the paper "Retrieval-Augmented Generation for Large Language Models: A Survey".
papers Featured
Yolo-X Notes
The main motivation behind YOLOX was to update the YOLO series with the recent advancements at the time, particularly anchor-free detection.
blog
Multi-task Loss
This is a short review of the paper titled "Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics" by Kendall et al, 2018.
papers Featured
PolyLoss : A new framework for loss functions
Authors propose a new framework of loss functions, motivated by the Taylor series expansion of commonly used functions like cross entropy.
blog
Short NLP Overview!
Natural language processing (NLP) is a branch of science sitting at the intersection of computer science, artificial intelligence, and computational linguistics.
papers
EfficientNet (V1 & V2) - A smart heuristic
EfficientNet tries to come up with a smart heuristic to scale a CNN, relating resolution, width, and depth of a CNN.
papers
Semantic Segmentation - DeepLab V3+
Semantic segmentation involves partitioning/marking regions in the image belonging to different objects/classes. This short article summarises DeepLab V3+...