most citedReading Relevant Feature from Global Representation Memory for Visual Object Tracking

5 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

X-Prompt: Multi-modal Visual Prompt for Video Object Segmentation

Pinxue Guo, Wanyun Li, Hao Huang +7

Multi-modal Video Object Segmentation (VOS), including RGB-Thermal, RGB-Depth, and RGB-Event, has garnered attention due to its capability to address challenging scenarios where tr…

cs.CV20243 cited

OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning

Lingyi Hong, Shilin Yan, Renrui Zhang +8

Visual object tracking aims to localize the target object of each frame based on its initial appearance in the first frame. Depending on the input modility, tracking tasks can be d…

cs.CV2024

OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework

Wanyun Li, Pinxue Guo, Xinyu Zhou +5

Contemporary Video Object Segmentation (VOS) approaches typically consist stages of feature extraction, matching, memory management, and multiple objects aggregation. Recent advanc…

cs.CV2024

ClickVOS: Click Video Object Segmentation

Pinxue Guo, Lingyi Hong, Xinyu Zhou +7

Video Object Segmentation (VOS) task aims to segment objects in videos. However, previous settings either require time-consuming manual masks of target objects at the first frame d…

cs.CV20245 cited

Reading Relevant Feature from Global Representation Memory for Visual Object Tracking

Xinyu Zhou, Pinxue Guo, Lingyi Hong +4

Reference features from a template or historical frames are crucial for visual object tracking. Prior works utilize all features from a fixed template or memory for visual object t…