288 citations · 345 across the 6 of their papers we have counts for
6 papers
Towards Small Object Editing: A Benchmark Dataset and A Training-Free Approach
Qihe Pan, Zhen Zhao, Zicheng Wang +5
A plethora of text-guided image editing methods has recently been developed by leveraging the impressive capabilities of large-scale diffusion-based generative models especially St…
SOEDiff: Efficient Distillation for Small Object Editing
Yiming Wu, Qihe Pan, Zhen Zhao +3
In this paper, we delve into a new task known as small object editing (SOE), which focuses on text-based image inpainting within a constrained, small-sized area. Despite the remark…
A Visual Representation-guided Framework with Global Affinity for Weakly Supervised Salient Object Detection
Binwei Xu, Haoran Liang, Weihua Gong +2
Fully supervised salient object detection (SOD) methods have made considerable progress in performance, yet these models rely heavily on expensive pixel-wise labels. Recently, to a…
Synthesize Boundaries: A Boundary-aware Self-consistent Framework for Weakly Supervised Salient Object Detection
Binwei Xu, Haoran Liang, Ronghua Liang +1
Fully supervised salient object detection (SOD) has made considerable progress based on expensive and time-consuming data with pixel-wise annotations. Recently, to relieve the labe…
Motion-aware Memory Network for Fast Video Salient Object Detection
Xing Zhao, Haoran Liang, Peipei Li +4
Previous methods based on 3DCNN, convLSTM, or optical flow have achieved great success in video salient object detection (VSOD). However, they still suffer from high computational…
Learning Video Salient Object Detection Progressively from Unlabeled Videos
Binwei Xu, Haoran Liang, Wentian Ni +3
Recent deep learning-based video salient object detection (VSOD) has achieved some breakthrough, but these methods rely on expensive annotated videos with pixel-wise annotations, w…