23 citations · 23 across the 2 of their papers we have counts for
4 papers
Implicit and Explicit Attention for Zero-Shot Learning
Faisal Alamri, Anjan Dutta
Most of the existing Zero-Shot Learning (ZSL) methods focus on learning a compatibility function between the image representation and class attributes. Few others concentrate on le…
Multi-Head Self-Attention via Vision Transformer for Zero-Shot Learning
Faisal Alamri, Anjan Dutta
Zero-Shot Learning (ZSL) aims to recognise unseen object classes, which are not observed during the training phase. The existing body of works on ZSL mostly relies on pretrained vi…
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
Faisal Alamri, Sinan Kalkan, Nicolas Pugeault
Deep neural network approaches have demonstrated high performance in object recognition (CNN) and detection (Faster-RCNN) tasks, but experiments have shown that such architectures…
Contextual Relabelling of Detected Objects
Faisal Alamri, Nicolas Pugeault
Contextual information, such as the co-occurrence of objects and the spatial and relative size among objects provides deep and complex information about scenes. It also can play an…