9 papers
Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?
Yunusa Haruna, Adamu Lawan, Ibrahim Haruna Abdulhamid +4
Machine unlearning enables models to selectively forget training data, driven by privacy regulations such as GDPR and CCPA. However, its fairness implications remain underexplored:…
vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual Recognition
Yunusa Haruna, Adamu Lawan, Shamsuddeen Hassan Muhammad +2
Capturing long-range dependencies (LRD) efficiently is a core challenge in visual recognition, and state-space models (SSMs) have recently emerged as a promising alternative to sel…
iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency
Haruna Yunusa, Adamu Lawan, Abdulganiyu Abdu Yusuf
The recent emergence of hybrid models has introduced a transformative approach to computer vision, gradually moving beyond conventional convolutional neural networks and vision tra…
GateMABSA: Aspect-Image Gated Fusion for Multimodal Aspect-based Sentiment Analysis
Adamu Lawan, Haruna Yunusa
Aspect-based Sentiment Analysis (ABSA) has recently advanced into the multimodal domain, where user-generated content often combines text and images. However, existing multimodal A…
AF-MAT: Aspect-aware Flip-and-Fuse xLSTM for Aspect-based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +3
Aspect-based Sentiment Analysis (ABSA) is a crucial NLP task that extracts fine-grained opinions and sentiments from text, such as product reviews and customer feedback. Existing m…
DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-based Sentiment Analysis
Adamu Lawan, Juhua Pu, Haruna Yunusa +4
Multimodal Aspect-based Sentiment Analysis (MABSA) enhances sentiment detection by integrating textual data with complementary modalities, such as images, to provide a more refined…