activity
20192025
most citedA Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

160 citations · 230 across the 6 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

Zero-Shot Multi-Spectral Learning: Reimagining a Generalist Multimodal Gemini 2.5 Model for Remote Sensing Applications

Ganesh Mallya, Yotam Gigi, Dahun Kim +4

Multi-spectral imagery plays a crucial role in diverse Remote Sensing applications including land-use classification, environmental monitoring and urban planning. These images are…

cs.CV2024

PaliGemma: A versatile 3B VLM for transfer

Lucas Beyer, Andreas Steiner, André Susano Pinto +32

PaliGemma is an open Vision-Language Model (VLM) that is based on the SigLIP-So400m vision encoder and the Gemma-2B language model. It is trained to be a versatile and broadly know…

cs.CV2021

Continental-Scale Building Detection from High Resolution Satellite Imagery

Wojciech Sirko, Sergii Kashubin, Marvin Ritter +7

Identifying the locations and footprints of buildings is vital for many practical and scientific purposes. Such information can be particularly useful in developing regions where a…

cs.CV202129 cited

Scaling Vision with Sparse Mixture of Experts

Carlos Riquelme, Joan Puigcerver, Basil Mustafa +5

Sparsely-gated Mixture of Experts networks (MoEs) have demonstrated excellent scalability in Natural Language Processing. In Computer Vision, however, almost all performant network…

cs.CV2020

Training general representations for remote sensing using in-domain knowledge

Maxim Neumann, André Susano Pinto, Xiaohua Zhai +1

Automatically finding good and general remote sensing representations allows to perform transfer learning on a wide range of applications - improving the accuracy and reducing the…

cs.CV20207 cited

AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification

Xiaofang Wang, Xuehan Xiong, Maxim Neumann +5

Convolutional operations have two limitations: (1) do not explicitly model where to focus as the same filter is applied to all the positions, and (2) are unsuitable for modeling lo…