1 citations · 3 across the 7 of their papers we have counts for
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Test-Time Adaptation via Dual Distillation for Videos Under Severe Distribution Shifts
André Sacilotti, Samuel Felipe dos Santos, Jurandy Almeida
Deep learning models have achieved state-of-the-art performance in several computer vision tasks. However, they experience severe performance degradation when applied to real-world…
Efficient Spatio-Temporal Vegetation Pixel Classification with Vision Transformers
Alan Gomes, Anderson Gonçalves, Samuel Felipe dos Santos +6
Plant phenology-the study of recurrent life cycle events-is essential for understanding ecosystem dynamics and their responses to climate change impacts. While Unmanned Aerial Vehi…
E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting
Samuel Felipe dos Santos, Tiago Agostinho de Almeida, Jurandy Almeida
Universal Domain Adaptation (UniDA) seeks to transfer knowledge from a labeled source to an unlabeled target domain without assuming any relationship between their label sets, requ…
Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown Exploration
Lucas Fernando Alvarenga e Silva, Samuel Felipe dos Santos, Nicu Sebe +1
Convolutional neural networks (CNNs) can learn directly from raw data, resulting in exceptional performance across various research areas. However, factors present in non-controlla…
Transferable-guided Attention Is All You Need for Video Domain Adaptation
André Sacilotti, Samuel Felipe dos Santos, Nicu Sebe +1
Unsupervised domain adaptation (UDA) in videos is a challenging task that remains not well explored compared to image-based UDA techniques. Although vision transformers (ViT) achie…
Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation
Lucas Fernando Alvarenga e Silva, Nicu Sebe, Jurandy Almeida
Convolutional Neural Networks (CNNs) have brought revolutionary advances to many research areas due to their capacity of learning from raw data. However, when those methods are app…
Budget-Aware Pruning: Handling Multiple Domains with Less Parameters
Samuel Felipe dos Santos, Rodrigo Berriel, Thiago Oliveira-Santos +2
Deep learning has achieved state-of-the-art performance on several computer vision tasks and domains. Nevertheless, it still has a high computational cost and demands a significant…