146 citations · 309 across the 18 of their papers we have counts for
25 papers · 1 filter
Semantic Contrastive Bootstrapping for Single-positive Multi-label Recognition
Cheng Chen, Yifan Zhao, Jia Li
Learning multi-label image recognition with incomplete annotation is gaining popularity due to its superior performance and significant labor savings when compared to training with…
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
Yifan Zhao, Tong Zhang, Jia Li +1
Few-shot learning aims to recognize novel queries with limited support samples by learning from base knowledge. Recent progress in this setting assumes that the base knowledge and…
View-aware Salient Object Detection for 360° Omnidirectional Image
Junjie Wu, Changqun Xia, Tianshu Yu +1
Image-based salient object detection (ISOD) in 360° scenarios is significant for understanding and applying panoramic information. However, research on 360° ISOD has not been widel…
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
Chenxi Xie, Changqun Xia, Mingcan Ma +3
Recent salient object detection (SOD) methods based on deep neural network have achieved remarkable performance. However, most of existing SOD models designed for low-resolution in…
Receptive Field Broadening and Boosting for Salient Object Detection
Mingcan Ma, Changqun Xia, Chenxi Xie +2
Salient object detection requires a comprehensive and scalable receptive field to locate the visually significant objects in the image. Recently, the emergence of visual transforme…
Transformer-based Dual Relation Graph for Multi-label Image Recognition
Jiawei Zhao, Ke Yan, Yifan Zhao +3
The simultaneous recognition of multiple objects in one image remains a challenging task, spanning multiple events in the recognition field such as various object scales, inconsist…