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Found 3 papers, 1 papers with code
Enhanced Semantic Segmentation Pipeline for WeatherProof Dataset Challenge
Firstly, we improve semantic segmentation models, using backbone pretrained with Depth Anything to improve UperNet model and SETRMLA model, and adding language guidance based on both weather and category information to InternImage model.
3D WholeBody Pose Estimation based on Semantic Graph Attention Network and Distance Information
Finally, we introduce a Geometry Loss who makes a critical constraint on the structural skeleton of the body, ensuring that the model's predictions adhere to the natural limits of human posture.
Ranked #1 on
3D Human Pose Estimation
on H3WB
The Third Monocular Depth Estimation Challenge
This paper discusses the results of the third edition of the Monocular Depth Estimation Challenge (MDEC).
