Scale Learning in Scale-Equivariant Convolutional networks

Efficient Video Action Recognition: How well does TriDet perform and generalize in a limited compute power and data setting?

Efficient Temporal Action Localization via Vision-Language Modelling: An Empirical Study on the STALE Model's Efficiency and Generalizability in Resource-constrained Environments

Benchmarking Data and Computational Efficiency of ActionFormer on Temporal Action Localization Tasks: Analysing the Performance and Generalizability of ActionFormer in Resource-constrained Environments

TemporalMaxer Performance in the Face of Constraint: A Study in Temporal Action Localization: A Comprehensive Analysis on the Adaptability of TemporalMaxer in Resource-Scarce Environments

Efficient Temporal Action Localization model development practices: A review and analysis of models and a guide of best methods

Algal Bloom Forecasting using Remote Sensing: Discovering the most predictive data modalities for Algal Bloom Forecasting

Spatio-temporal embedding in deep learning for algal bloom forecasting

Algal Bloom Forecasting in a Classification and Regression Setting: Implementing a UNet Architecture to evaluate the differences between both settings

Algal Bloom Forecasting: Classical Machine Learning versus Deep-Learning

Algal Bloom Forecasting using Remote Sensing with Spatially and Temporally Sparse Satellite Data

Learned equivariance in Convolutional Neural Networks

Domain Adaptation for Rare Classes Augmented with Synthetic Samples

Transferring a Segmentation Task Between Real and Synthetic Data

Image-to-Image Translation of Synthetic Samples for Rare Classes

Data-Efficient GAN for Synthetic Samples of Rare Classes