research
∙
03/17/2023
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
The objective of this paper is self-supervised learning of video object ...
share
research
∙
03/27/2022
Deep Hierarchical Semantic Segmentation
Humans are able to recognize structured relations in observation, allowi...
research
∙
03/27/2022
Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
Our target is to learn visual correspondence from unlabeled videos. We d...
research
∙
03/17/2022
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
Learning semantic segmentation from weakly-labeled (e.g., image tags onl...
research
∙
12/07/2021
Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning
Handwritten mathematical expression recognition aims to automatically ge...
research
∙
06/20/2021
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
Despite recent progress of automatic medical image segmentation techniqu...
research
∙
04/10/2021
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation
This paper addresses the task of unsupervised video multi-object segment...
research
∙
12/09/2020
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Acquiring sufficient ground-truth supervision to train deep visual model...
research
∙
08/21/2020
DTDN: Dual-task De-raining Network
Removing rain streaks from rainy images is necessary for many tasks in c...
research
∙
03/09/2020
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
In this paper, we present a novel Motion-Attentive Transition Network (M...
research
∙
05/20/2019