4 papers
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results
Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin +40
This paper presents an overview of the NTIRE 2026 Challenge on Video Saliency Prediction. The goal of the challenge participants was to develop automatic saliency map prediction me…
Siamese Transformer Networks for Few-shot Image Classification
Weihao Jiang, Shuoxi Zhang, Kun He
Humans exhibit remarkable proficiency in visual classification tasks, accurately recognizing and classifying new images with minimal examples. This ability is attributed to their c…
Class-relevant Patch Embedding Selection for Few-Shot Image Classification
Weihao Jiang, Haoyang Cui, Kun He
Effective image classification hinges on discerning relevant features from both foreground and background elements, with the foreground typically holding the critical information.…
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning
Weihao Jiang, Chang Liu, Kun He
Humans possess remarkable ability to accurately classify new, unseen images after being exposed to only a few examples. Such ability stems from their capacity to identify common fe…