List your company

Research

Papers for “ade20k”

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

Search results

TitleAuthorsYearSource
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware PerspectiveZhenfeng Su, Kang Zhao, Han Bao2026arxiv 2607.03784
Rethinking Attention Locality in Spiking TransformersZeqi Zheng, Zizheng Zhu, Yuping Yan2026arxiv 2608.08541
DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive ArchitectureXiangteng He, Shunsuke Sakai, Shivam Chandhok2025arxiv 2511.17354
Putting Registers to Work: Task Registers for Token Pruning in Vision TransformersHongsen Cao, Mona Jaber, Shanxin Yuan2026arxiv 2608.10989
Global Aggregation then Local Distribution for Scene ParsingXiangtai Li, Li Zhang, Guangliang Cheng2021arxiv 2107.13154
Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic SegmentationYing Wang, Chiuman Ho, Wenju Xu2022arxiv 2201.09139
Continual Attentive Fusion for Incremental Learning in Semantic SegmentationGuanglei Yang, Enrico Fini, Dan Xu2022arxiv 2202.00432
Modeling the Background for Incremental and Weakly-Supervised Semantic SegmentationFabio Cermelli, Massimiliano Mancini, Samuel Rota Buló2022arxiv 2201.13338
PNM: Pixel Null Model for General Image SegmentationHan Zhang, Zihao Zhang, Wenhao Zheng2022arxiv 2203.06677
RecursiveMix: Mixed Learning with HistoryLingfeng Yang, Xiang Li, Borui Zhao2022arxiv 2203.06844
Semantic Segmentation by Early Region ProxyYifan Zhang, Bo Pang, Cewu Lu2022arxiv 2203.14043
MP-Former: Mask-Piloted Transformer for Image SegmentationHao Zhang, Feng Li, Huaizhe Xu2023arxiv 2303.07336
DeepMIM: Deep Supervision for Masked Image ModelingSucheng Ren, Fangyun Wei, Samuel Albanie2023arxiv 2303.08817
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic SegmentationYizhe Ma, Fangjian Lin, Sitong Wu2023arxiv 2305.00671
Improving Visual Prompt Tuning for Self-supervised Vision TransformersSeungryong Yoo, Eunji Kim, Dahuin Jung2023arxiv 2306.05067
Global Context Vision TransformersAli Hatamizadeh, Hongxu Yin, Greg Heinrich2022arxiv 2206.09959
Rethinking Spatially-Adaptive NormalizationZhentao Tan, Dongdong Chen, Qi Chu2020arxiv 2004.02867
ORDNet: Capturing Omni-Range Dependencies for Scene ParsingShaofei Huang, Si Liu, Tianrui Hui2021arxiv 2101.03929
Switchable Normalization for Learning-to-Normalize Deep RepresentationPing Luo, Ruimao Zhang, Jiamin Ren2019arxiv 1907.10473
A ConvNet for the 2020sZhuang Liu, Hanzi Mao, Chao-Yuan Wu2022arxiv 2201.03545