6 citations · 11 across the 5 of their papers we have counts for
4 papers · 1 filter
LVOS: A Benchmark for Long-term Video Object Segmentation
Lingyi Hong, Wenchao Chen, Zhongying Liu +4
Existing video object segmentation (VOS) benchmarks focus on short-term videos which just last about 3-5 seconds and where objects are visible most of the time. These videos are po…
Weakly Supervised Video Salient Object Detection via Point Supervision
Shuyong Gao, Haozhe Xing, Wei Zhang +3
Video salient object detection models trained on pixel-wise dense annotation have achieved excellent performance, yet obtaining pixel-by-pixel annotated datasets is laborious. Seve…
FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos
Yan Wang, Yixuan Sun, Yiwen Huang +5
Current benchmarks for facial expression recognition (FER) mainly focus on static images, while there are limited datasets for FER in videos. It is still ambiguous to evaluate whet…
Weakly-Supervised Salient Object Detection Using Point Supervision
Shuyong Gao, Wei Zhang, Yan Wang +4
Current state-of-the-art saliency detection models rely heavily on large datasets of accurate pixel-wise annotations, but manually labeling pixels is time-consuming and labor-inten…