Superpixel Transformers for Efficient Semantic Segmentation

Superpixel Transformers for Efficient Semantic Segmentation

28 September 2023

Jieru Mei

Liang-Chieh Chen

Henrik Kretzschmar

Papers citing "Superpixel Transformers for Efficient Semantic Segmentation"

9 / 9 papers shown

Title
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving Wei-Bin Kou Guangxu Zhu Bingyang Cheng Shuai Wang Ming Tang Yik-Chung Wu 45 0 0 01 May 2025
iMacSR: Intermediate Multi-Access Supervision and Regularization in Training Autonomous Driving Models Wei-Bin Kou Guangxu Zhu Yichen Jin Shuai Wang Ming Tang Yik-Chung Wu 41 0 0 01 May 2025
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective Qishuai Wen Chun-Guang Li ViT 37 0 0 05 Nov 2024
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation Yunfei Xie Cihang Xie Alan Yuille Jieru Mei OCL 52 0 0 02 Sep 2024
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Wei-Bin Kou Qingfeng Lin Ming Tang Shuai Wang Guangxu Zhu Yik-Chung Wu 44 3 0 01 Jul 2024
SPFormer: Enhancing Vision Transformer with Superpixel Representation Jieru Mei Liang-Chieh Chen Alan Yuille Cihang Xie ViT MDE 21 4 0 05 Jan 2024
Semantic Segmentation by Early Region Proxy Yifan Zhang Bo Pang Cewu Lu ViT 54 29 0 26 Mar 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision Jiarui Xu Shalini De Mello Sifei Liu Wonmin Byeon Thomas Breuel Jan Kautz Xueliang Wang ViT VLM 198 504 0 22 Feb 2022
Conditional Convolutions for Instance Segmentation Zhi Tian Chunhua Shen Hao Chen ISeg 196 598 0 12 Mar 2020