Research

Papers for “ade20k”

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

Title	Authors	Year	Source
Token Cropr: Faster ViTs for Quite a Few Tasks	Benjamin Bergner, Christoph Lippert, Aravindh Mahendran	2024	arxiv 2412.00965
SPT: Sequence Prompt Transformer for Interactive Image Segmentation	Senlin Cheng, Haopeng Sun	2024	arxiv 2412.10224
Auto-Vocabulary Semantic Segmentation	Osman Ülger, Maksymilian Kulicki, Yuki Asano	2023	arxiv 2312.04539
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer	Jian Wang, Chenhui Gou, Qiman Wu	2022	arxiv 2210.07124
Delving into Transformer for Incremental Semantic Segmentation	Zekai Xu, Mingyi Zhang, Jiayue Hou	2022	arxiv 2211.10253
SegViT: Semantic Segmentation with Plain Vision Transformers	Bowen Zhang, Zhi Tian, Quan Tang	2022	arxiv 2210.05844
Rethinking Mobile Block for Efficient Attention-based Models	Jiangning Zhang, Xiangtai Li, Jian Li	2023	arxiv 2301.01146
Gramian Attention Heads are Strong yet Efficient Vision Learners	Jongbin Ryu, Dongyoon Han, Jongwoo Lim	2023	arxiv 2310.16483
Relating Input Concepts to Convolutional Neural Network Decisions	Ning Xie, Md Kamruzzaman Sarker, Derek Doran	2017	arxiv 1711.08006
LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation	Yang Miao, Jan-Nico Zaech, Xi Wang	2025	arxiv 2510.25263
Mamba2D: A Natively Multi-Dimensional State-Space Model for Vision Tasks	Enis Baty, Alejandro Hernández Díaz, Rebecca Davidson	2024	arxiv 2412.16146
What Makes Synthetic Data Effective in Image Segmentation	Jinjin Zhang, Xiefan Guo, Yizhou Jin	2026	arxiv 2605.19289
Edge Prediction for Roof Wireframe Reconstruction with Transformers	Gustav Hanning, Ludvig Dillén, Jonathan Astermark	2026	arxiv 2606.02406
Vision Non-Causal Trapezoidal Mamba: Eliminating Directional Scanning in Vision SSMs with Second-Order Dynamics	Anvitha Ramachandran, Dhruv Parikh, Haoyang Fan	2026	arxiv 2607.03589
LUMA: Benchmarking Segmentation via a Lightweight Universal Mask Adapter	Tobias Christian Nauen, Anosh Billimoria, Federico Raue	2026	arxiv 2607.00687
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning	Scott C. Lowe, Anthony Fuller, Sageev Oore	2026	arxiv 2603.15553
Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation	Chi-Wei Hsiao, Cheng Sun, Hwann-Tzong Chen	2021	arxiv 2108.01866
Lite Vision Transformer with Enhanced Self-Attention	Chenglin Yang, Yilin Wang, Jianming Zhang	2021	arxiv 2112.10809
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation	Feng Li, Hao Zhang, Huaizhe xu	2022	arxiv 2206.02777
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation	Zhijie Deng, Yucen Luo	2023	arxiv 2304.02841

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