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Found 6 papers, 5 papers with code
PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices
To address this issue, we propose PP-MobileSeg, a semantic segmentation model that achieves state-of-the-art performance on mobile devices.
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning
Interactive image segmentation aims at segmenting a target region through a way of human-computer interaction.
EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle
In recent years, the rapid development of deep learning has brought great advancements to image and video segmentation methods based on neural networks.
PP-Matting: High-Accuracy Natural Image Matting
Also, we propose a semantic context branch (SCB) that adopts a semantic segmentation subtask.
Ranked #4 on
Image Matting
on Distinctions-646
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
Real-world applications have high demands for semantic segmentation methods.
Ranked #4 on
Real-Time Semantic Segmentation
on Cityscapes val
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset
This work is the first to construct a large-scale video portrait dataset that contains 291 videos from 23 conference scenes with 14K fine-labeled frames and extensions to multi-camera teleconferencing.
