35 citations · 96 across the 20 of their papers we have counts for
5 papers · 1 filter
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation
Weixuan Sun, Jing Zhang, Nick Barnes
Image-level weakly supervised semantic segmentation (WSSS) relies on class activation maps (CAMs) for pseudo labels generation. As CAMs only highlight the most discriminative regio…
Dense Uncertainty Estimation
Jing Zhang, Yuchao Dai, Mochu Xiang +7
Deep neural networks can be roughly divided into deterministic neural networks and stochastic neural networks.The former is usually trained to achieve a mapping from input space to…
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Shi Qiu, Saeed Anwar, Nick Barnes
Given the prominence of current 3D sensors, a fine-grained analysis on the basic point cloud data is worthy of further investigation. Particularly, real point cloud scenes can intu…
Weakly Supervised Video Salient Object Detection
Wangbo Zhao, Jing Zhang, Long Li +3
Significant performance improvement has been achieved for fully-supervised video salient object detection with the pixel-wise labeled training datasets, which are time-consuming an…
Recursive Training for Zero-Shot Semantic Segmentation
Ce Wang, Moshiur Farazi, Nick Barnes
General purpose semantic segmentation relies on a backbone CNN network to extract discriminative features that help classify each image pixel into a 'seen' object class (ie., the o…