Research

Papers for “ade20k”

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

Title	Authors	Year	Source
Attention guided global enhancement and local refinement network for semantic segmentation	Jiangyun Li, Sen Zha, Chen Chen	2022	arxiv 2204.04363
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization	Chong Yu, Tao Chen, Zhongxue Gan	2023	arxiv 2305.10727
See More Than Once -- Kernel-Sharing Atrous Convolution for Semantic Segmentation	Ye Huang, Qingqing Wang, Wenjing Jia	2019	arxiv 1908.09443
Bidirectional Graph Reasoning Network for Panoptic Segmentation	Yangxin Wu, Gengwei Zhang, Yiming Gao	2020	arxiv 2004.06272
Shunted Self-Attention via Multi-Scale Token Aggregation	Sucheng Ren, Daquan Zhou, Shengfeng He	2021	arxiv 2111.15193
Swin Transformer V2: Scaling Up Capacity and Resolution	Ze Liu, Han Hu, Yutong Lin	2021	arxiv 2111.09883
Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding	Zhaokai Wang, Xizhou Zhu, Xue Yang	2025	arxiv 2501.07783
CoMAD: A Multiple-Teacher Self-Supervised Distillation Framework	Sriram Mandalika, Lalitha V	2025	arxiv 2508.04816
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm	Jiangning Zhang, Xiangtai Li, Yabiao Wang	2022	arxiv 2206.09325
Adapter is All You Need for Tuning Visual Tasks	Dongshuo Yin, Leiyi Hu, Bin Li	2023	arxiv 2311.15010
Patch-level Representation Learning for Self-supervised Vision Transformers	Sukmin Yun, Hankook Lee, Jaehyung Kim	2022	arxiv 2206.07990
Two Stream Scene Understanding on Graph Embedding	Wenkai Yang, Wenyuan Sun, Runxaing Huang	2023	arxiv 2311.06746
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models	Yimeng Li, Navid Rajabi, Sulabh Shrestha	2023	arxiv 2311.10883
ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions	Chunlong Xia, Xinliang Wang, Feng Lv	2024	arxiv 2403.07392
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation	Anqi Zhang, Guangyu Gao	2024	arxiv 2407.09838
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks	Dongshuo Yin, Leiyi Hu, Bin Li	2024	arxiv 2408.08345
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification	Jingwei Zhang, Anh Tien Nguyen, Xi Han	2024	arxiv 2412.00678
GroupMamba: Efficient Group-Based Visual State Space Model	Abdelrahman Shaker, Syed Talal Wasim, Salman Khan	2024	arxiv 2407.13772
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation	Bin Xie, Jiale Cao, Jin Xie	2023	arxiv 2311.15537
Softmax-free Linear Transformers	Jiachen Lu, Junge Zhang, Xiatian Zhu	2022	arxiv 2207.03341

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