268 citations · 550 across the 35 of their papers we have counts for
5 papers · 1 filter
Towards Optimal Adapter Placement for Efficient Transfer Learning
Aleksandra I. Nowak, Otniel-Bogdan Mercea, Anurag Arnab +3
Parameter-efficient transfer learning (PETL) aims to adapt pre-trained models to new downstream tasks while minimizing the number of fine-tuned parameters. Adapters, a popular appr…
Mixture of Nested Experts: Adaptive Processing of Visual Tokens
Gagan Jain, Nidhi Hegde, Aditya Kusupati +5
The visual medium (images and videos) naturally contains a large amount of information redundancy, thereby providing a great opportunity for leveraging efficiency in processing. Wh…
Planted: a dataset for planted forest identification from multi-satellite time series
Luis Miguel Pazos-Outón, Cristina Nader Vasconcelos, Anton Raichuk +3
Protecting and restoring forest ecosystems is critical for biodiversity conservation and carbon sequestration. Forest monitoring on a global scale is essential for prioritizing and…
Streaming Dense Video Captioning
Xingyi Zhou, Anurag Arnab, Shyamal Buch +5
An ideal model for dense video captioning -- predicting captions localized temporally in a video -- should be able to handle long input videos, predict rich, detailed textual descr…
Time-, Memory- and Parameter-Efficient Visual Adaptation
Otniel-Bogdan Mercea, Alexey Gritsenko, Cordelia Schmid +1
As foundation models become more popular, there is a growing need to efficiently finetune them for downstream tasks. Although numerous adaptation methods have been proposed, they a…