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Superpixel Transformers for Efficient Semantic Segmentation
v1v2 (latest)

Superpixel Transformers for Efficient Semantic Segmentation

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
28 September 2023
Xiao Han
Jieru Mei
Lu Zhang
Hang Yan
Yongkai Wu
Liang-Chieh Chen
Henrik Kretzschmar
    ViT
ArXiv (abs)PDFHTML

Papers citing "Superpixel Transformers for Efficient Semantic Segmentation"

10 / 10 papers shown
C2F-Space: Coarse-to-Fine Space Grounding for Spatial Instructions using Vision-Language Models
C2F-Space: Coarse-to-Fine Space Grounding for Spatial Instructions using Vision-Language Models
Nayoung Oh
Dohyun Kim
Junhyeong Bang
Rohan Paul
Daehyung Park
131
0
0
19 Nov 2025
Differentiable Hierarchical Visual Tokenization
Differentiable Hierarchical Visual Tokenization
Marius Aasan
Martine Hjelkrem-Tan
Nico Catalano
Changkyu Choi
Adín Ramirez Rivera
212
0
0
04 Nov 2025
Superpixel Integrated Grids for Fast Image Segmentation
Superpixel Integrated Grids for Fast Image Segmentation
Jack Roberts
Jeova Farias Sales Rocha Neto
92
0
0
07 Oct 2025
Representation Learning with Adaptive Superpixel Coding
Representation Learning with Adaptive Superpixel Coding
Mahmoud Khalil
Ahmad Khalil
A. Ngom
ViT
128
0
0
21 Aug 2025
SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds
SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds
Cheng Zeng
Xiatian Qi
Chi Chen
Kai Sun
Wangle Zhang
Yuxuan Liu
Yan Meng
Bisheng Yang
ViT
180
1
0
30 May 2025
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving
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
334
2
0
01 May 2025
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression PerspectiveNeural Information Processing Systems (NeurIPS), 2024
Qishuai Wen
Chun-Guang Li
ViT
496
0
0
05 Nov 2024
From Pixels to Objects: A Hierarchical Approach for Part and Object
  Segmentation Using Local and Global Aggregation
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global AggregationEuropean Conference on Computer Vision (ECCV), 2024
Yunfei Xie
Cihang Xie
Alan Yuille
Jieru Mei
OCL
242
2
0
02 Sep 2024
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in
  Street Scene Semantic Understanding
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
233
10
0
01 Jul 2024
SPFormer: Enhancing Vision Transformer with Superpixel Representation
SPFormer: Enhancing Vision Transformer with Superpixel Representation
Jieru Mei
Liang-Chieh Chen
Yaoyao Liu
Cihang Xie
ViTMDE
283
13
0
05 Jan 2024
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