Computer Vision, User Modeling, Optimization, Saliency Map.
= [] best_diff = float('inf') # Compute initial saliency initial_mean_saliency, initial_salience_map = rate_saliency(img, bbox) for i in tqdm(range(iterations)): # Apply image transformation updated_image, updated_bbox = sample(img, bbox, r) mean_saliency, saliency_map =