Research

Papers for “ade20k”

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

Title	Authors	Year	Source
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations	Yiyuan Zhang, Xiaohan Ding, Xiangyu Yue	2024	arxiv 2410.08049
V2M: Visual 2-Dimensional Mamba for Image Representation Learning	Chengkun Wang, Wenzhao Zheng, Yuanhui Huang	2024	arxiv 2410.10382
Efficient Modulation for Vision Networks	Xu Ma, Xiyang Dai, Jianwei Yang	2024	arxiv 2403.19963
DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture	Shentong Mo, Sukmin Yun	2024	arxiv 2405.17995
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities	Peng Wang, Shijie Wang, Junyang Lin	2023	arxiv 2305.11172
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling	Zeqiang Lai, Yuchen Duan, Jifeng Dai	2023	arxiv 2306.01721
Dynamic Spectrum Mixer for Visual Recognition	Zhiqiang Hu, Tao Yu	2023	arxiv 2309.06721
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory	Danpei Zhao, Bo Yuan, Zhenwei Shi	2023	arxiv 2309.15413
VisionGRU: A Linear-Complexity RNN Model for Efficient Image Analysis	Shicheng Yin, Kaixuan Yin, Weixing Chen	2024	arxiv 2412.18178
SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition	Qiang Wan, Zilong Huang, Jiachen Lu	2023	arxiv 2301.13156
Training and Inference for Integer-Based Semantic Segmentation Network	Jiayi Yang, Lei Deng, Yukuan Yang	2020	arxiv 2011.14504
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU	Shipra Jain, Danda Paudel Pani, Martin Danelljan	2020	arxiv 2012.07489
Visual Attention Network	Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu	2022	arxiv 2202.09741
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger	Cong Wang, Hongmin Xu, Xiong Zhang	2022	arxiv 2207.13317
Mesa: A Memory-saving Training Framework for Transformers	Zizheng Pan, Peng Chen, Haoyu He	2021	arxiv 2111.11124
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers	Zhiliang Peng, Li Dong, Hangbo Bao	2022	arxiv 2208.06366
State-of-the-art Models for Object Detection in Various Fields of Application	Syed Ali John Naqvi, Syed Bazil Ali	2022	arxiv 2211.00733
Could Giant Pretrained Image Models Extract Universal Representations?	Yutong Lin, Ze Liu, Zheng Zhang	2022	arxiv 2211.02043
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information	Weijie Su, Xizhou Zhu, Chenxin Tao	2022	arxiv 2211.09807
Positive-Negative Equal Contrastive Loss for Semantic Segmentation	Jing Wang, Jiangyun Li, Wei Li	2022	arxiv 2207.01417

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