Towards open vocabulary learning: A survey
In the field of visual scene understanding, deep neural networks have made impressive
advancements in various core tasks like segmentation, tracking, and detection. However …
advancements in various core tasks like segmentation, tracking, and detection. However …
A survey on open-vocabulary detection and segmentation: Past, present, and future
As the most fundamental scene understanding tasks, object detection and segmentation
have made tremendous progress in deep learning era. Due to the expensive manual …
have made tremendous progress in deep learning era. Due to the expensive manual …
Visa: Reasoning video object segmentation via large language models
Existing Video Object Segmentation (VOS) relies on explicit user instructions, such as
categories, masks, or short phrases, restricting their ability to perform complex video …
categories, masks, or short phrases, restricting their ability to perform complex video …
3rd place solution for pvuw challenge 2023: Video panoptic segmentation
In order to deal with the task of video panoptic segmentation in the wild, we propose a robust
integrated video panoptic segmentation solution. In our solution, we regard the video …
integrated video panoptic segmentation solution. In our solution, we regard the video …
Context-Aware Video Instance Segmentation
In this paper, we introduce the Context-Aware Video Instance Segmentation (CAVIS), a
novel framework designed to enhance instance association by integrating contextual …
novel framework designed to enhance instance association by integrating contextual …
DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries
Modern video segmentation methods adopt object queries to perform inter-frame
association and demonstrate satisfactory performance in tracking continuously appearing …
association and demonstrate satisfactory performance in tracking continuously appearing …
Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?
C Liang, Q Guo, X Qu, L Liu, T Liu - arXiv preprint arXiv:2408.10627, 2024 - arxiv.org
Video segmentation aims at partitioning video sequences into meaningful segments based
on objects or regions of interest within frames. Current video segmentation models are often …
on objects or regions of interest within frames. Current video segmentation models are often …
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video …
Q Liu, M El-Khamy, KB Song - arXiv preprint arXiv:2406.05352, 2024 - arxiv.org
The third Pixel-level Video Understanding in the Wild (PVUW CVPR 2024) challenge aims
to advance the state of art in video understanding through benchmarking Video Panoptic …
to advance the state of art in video understanding through benchmarking Video Panoptic …