The weighted sum of visual features used to inform the word choice. 📈 Evolution of Techniques
Assigns weights to different image regions. Attention and Vision in Language Processing
Using tools like Faster R-CNN to identify specific bounding boxes (e.g., "dog," "frisbee"). 2. The Attention Layer (The "Focus") The weighted sum of visual features used to
Picks one specific region to focus on. It is non-differentiable and requires Reinforcement Learning (Policy Gradient). Attention and Vision in Language Processing
Helping visually impaired users navigate via real-time audio descriptions. ⚠️ Current Challenges
Top-Down: Focuses based on the current word being generated. 3. Language Generation (The "Voice") Predict the next word in a sequence.