2 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
Aradhye Agarwal, Suhas K Ramesh, Ayan Sengupta +1
Fine-tuning large language models (LLMs) on downstream tasks requires substantial computational resources. Selective PEFT, a class of parameter-efficient fine-tuning (PEFT) methodo…
The Third Monocular Depth Estimation Challenge
Jaime Spencer, Fabio Tosi, Matteo Poggi +38
This paper discusses the results of the third edition of the Monocular Depth Estimation Challenge (MDEC). The challenge focuses on zero-shot generalization to the challenging SYNS-…
ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation
Suraj Patni, Aradhye Agarwal, Chetan Arora
In the absence of parallax cues, a learning-based single image depth estimation (SIDE) model relies heavily on shading and contextual cues in the image. While this simplicity is at…