Search Results for author: Si Gao

Found 6 papers, 2 papers with code

Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024

no code implementations2 Jun 2024 Biao Wu, Diankai Zhang, Si Gao, Chengjian Zheng, Shaoli Liu, Ning Wang

Pixel-level Scene Understanding is one of the fundamental problems in computer vision, which aims at recognizing object classes, masks and semantics of each pixel in the given image.

Scene Understanding Semantic Segmentation +1

2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation

no code implementations1 Jun 2024 Biao Wu, Diankai Zhang, Si Gao, Chengjian Zheng, Shaoli Liu, Ning Wang

In order to deal with the task of video panoptic segmentation in the wild, we propose a robust integrated video panoptic segmentation solution.

Autonomous Driving Segmentation +3

Recyclable Semi-supervised Method Based on Multi-model Ensemble for Video Scene Parsing

no code implementations5 Jun 2023 Biao Wu, Shaoli Liu, Diankai Zhang, Chengjian Zheng, Si Gao, Xiaofeng Zhang, Ning Wang

Pixel-level Scene Understanding is one of the fundamental problems in computer vision, which aims at recognizing object classes, masks and semantics of each pixel in the given image.

Scene Understanding Semantic Segmentation +1

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