285 citations · 1.2k across the 56 of their papers we have counts for
14 papers · 1 filter
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
Anirudh S Chakravarthy, Won-Dong Jang, Zudi Lin +3
Video instance segmentation aims to detect, segment, and track objects in a video. Current approaches extend image-level segmentation algorithms to the temporal domain. However, th…
SeqFormer: Sequential Transformer for Video Instance Segmentation
Junfeng Wu, Yi Jiang, Song Bai +2
In this work, we present SeqFormer for video instance segmentation. SeqFormer follows the principle of vision transformer that models instance relationships among video frames. Nev…
TransMix: Attend to Mix for Vision Transformers
Jie-Neng Chen, Shuyang Sun, Ju He +3
Mixup-based augmentation has been found to be effective for generalizing models during training, especially for Vision Transformers (ViTs) since they can easily overfit. However, p…
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
Jiyang Qi, Yan Gao, Yao Hu +7
Although deep learning methods have achieved advanced video object recognition performance in recent years, perceiving heavily occluded objects in a video is still a very challengi…
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
Peize Sun, Jinkun Cao, Yi Jiang +4
A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization, and following re-identification (re-ID) for object association. This pipeline is pa…
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition
Xinwei He, Silin Cheng, Dingkang Liang +3
Recently, 3D shape understanding has achieved significant progress due to the advances of deep learning models on various data formats like images, voxels, and point clouds. Among…