Research

Papers for “ade20k”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
FsaNet: Frequency Self-attention for Semantic Segmentation	Fengyu Zhang, Ashkan Panahi, Guangjun Gao	2022	arxiv 2211.15595
Superpixel Transformers for Efficient Semantic Segmentation	Alex Zihao Zhu, Jieru Mei, Siyuan Qiao	2023	arxiv 2309.16889
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation	Gonca Yilmaz, Songyou Peng, Marc Pollefeys	2024	arxiv 2405.20141
OCNet: Object Context Network for Scene Parsing	Yuhui Yuan, Lang Huang, Jianyuan Guo	2018	arxiv 1809.00916
Focal Self-attention for Local-Global Interactions in Vision Transformers	Jianwei Yang, Chunyuan Li, Pengchuan Zhang	2021	arxiv 2107.00641
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation	Yixuan Wei, Han Hu, Zhenda Xie	2022	arxiv 2205.14141
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions	Yongming Rao, Wenliang Zhao, Yansong Tang	2022	arxiv 2207.14284
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers	Tao Tang, Changlin Li, Guangrun Wang	2022	arxiv 2210.08458
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data	Minghao Xu, Yuanfan Guo, Yi Xu	2022	arxiv 2211.12941
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition	Jiayu Jiao, Yu-Ming Tang, Kun-Yu Lin	2023	arxiv 2302.01791
Scale-Aware Modulation Meet Transformer	Weifeng Lin, Ziheng Wu, Jiayu Chen	2023	arxiv 2307.08579
Semantic Segmentation and Scene Reconstruction of RGB-D Image Frames: An End-to-End Modular Pipeline for Robotic Applications	Zhiwu Zheng, Lauren Mentzer, Berk Iskender	2024	arxiv 2410.17988
OneFormer: One Transformer to Rule Universal Image Segmentation	Jitesh Jain, Jiachen Li, MangTik Chiu	2022	arxiv 2211.06220
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models	Chenglin Yang, Siyuan Qiao, Qihang Yu	2022	arxiv 2210.01820
Polyline Path Masked Attention for Vision Transformer	Zhongchen Zhao, Chaodong Xiao, Hui Lin	2025	arxiv 2506.15940
Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search	Haoyu Zhang, Zhihao Yu, Rui Wang	2026	arxiv 2603.19563
Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders	Yitong Jiang, Hongjun Wang, Collin McCarthy	2026	arxiv 2606.00746
Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention	Weikang Meng, Yadan Luo, Liangyu Huo	2025	arxiv 2506.21137
Large-batch Optimization for Dense Visual Predictions	Zeyue Xue, Jianming Liang, Guanglu Song	2022	arxiv 2210.11078
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+	Xiao Wang, Ying Wang, Ziwei Xuan	2023	arxiv 2303.07598

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