11 citations · 19 across the 8 of their papers we have counts for
8 papers
When Visual Evidence is Ambiguous: Pareidolia as a Diagnostic Probe for Vision Models
Qianpu Chen, Derya Soydaner, Rob Saunders
When visual evidence is ambiguous, vision models must decide how to interpret face-like patterns. Face pareidolia, the perception of faces in non-face objects, provides a controlle…
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation
Lei Zhu, Hangzhou He, Xinliang Zhang +4
End-to-end weakly supervised semantic segmentation aims at optimizing a segmentation model in a single-stage training process based on only image annotations. Existing methods adop…
One-Pot Multi-Frame Denoising
Lujia Jin, Shi Zhao, Lei Zhu +2
The performance of learning-based denoising largely depends on clean supervision. However, it is difficult to obtain clean images in many scenes. On the contrary, the capture of mu…
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization
Lei Zhu, Qian Chen, Lujia Jin +2
Classification activation map (CAM), utilizing the classification structure to generate pixel-wise localization maps, is a crucial mechanism for weakly supervised object localizati…
Weakly Supervised Object Localization as Domain Adaption
Lei Zhu, Qi She, Qian Chen +3
Weakly supervised object localization (WSOL) focuses on localizing objects only with the supervision of image-level classification masks. Most previous WSOL methods follow the clas…
Background-aware Classification Activation Map for Weakly Supervised Object Localization
Lei Zhu, Qi She, Qian Chen +9
Weakly supervised object localization (WSOL) relaxes the requirement of dense annotations for object localization by using image-level classification masks to supervise its learnin…
Learning Synergistic Attention for Light Field Salient Object Detection
Yi Zhang, Geng Chen, Qian Chen +5
We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with…
RGB-D Salient Object Detection via 3D Convolutional Neural Networks
Qian Chen, Ze Liu, Yi Zhang +3
RGB-D salient object detection (SOD) recently has attracted increasing research interest and many deep learning methods based on encoder-decoder architectures have emerged. However…