activity
20172026
most citedByteTrack: Multi-Object Tracking by Associating Every Detection Box

108 citations · 544 across the 68 of their papers we have counts for

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Showing 2021Show all

10 papers · 1 filter

cs.CV2021

Trimap-guided Feature Mining and Fusion Network for Natural Image Matting

Weihao Jiang, Dongdong Yu, Zhaozhi Xie +3

Utilizing trimap guidance and fusing multi-level features are two important issues for trimap-based matting with pixel-level prediction. To utilize trimap guidance, most existing a…

cs.CV2021★ 23 cited

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…

cs.CV2021★ 20 cited

Focal and Global Knowledge Distillation for Detectors

Zhendong Yang, Zhe Li, Xiaohu Jiang +4

Knowledge distillation has been applied to image classification successfully. However, object detection is much more sophisticated and most knowledge distillation methods have fail…

cs.CV2021★ 1 cited

Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation

Chuang Lin, Yi Jiang, Jianfei Cai +3

Vision-and-Language Navigation (VLN) is a task that an agent is required to follow a language instruction to navigate to the goal position, which relies on the ongoing interactions…

cs.CV2021★ 108 cited

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Yifu Zhang, Peize Sun, Yi Jiang +6

Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos. Most methods obtain identities by associating detection boxes whose scores are hi…

cs.CV2021★ 15 cited

Objects in Semantic Topology

Shuo Yang, Peize Sun, Yi Jiang +6

A more realistic object detection paradigm, Open-World Object Detection, has arisen increasing research interests in the community recently. A qualified open-world object detector…