SOTA2 Research · papers

Papers for “semantic segmentation”

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

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20 indexed

Title	Authors	Year	Source
Auto-Compressing Subset Pruning for Semantic Image Segmentation	Konstantin Ditschuneit, Johannes S. Otterbach	2022	arxiv 2201.11103
Knowledge Distillation from A Stronger Teacher	Tao Huang, Shan You, Fei Wang	2022	arxiv 2205.10536
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data	Jincen Jiang, Xuequan Lu, Wanli Ouyang	2021	arxiv 2110.06632
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network	An Tao, Yueqi Duan, He Wang	2021	arxiv 2112.09428
Masked Image Modeling with Denoising Contrast	Kun Yi, Yixiao Ge, Xiaotong Li	2022	arxiv 2205.09616
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction	Wei Shen, Zelin Peng, Xuehui Wang	2022	arxiv 2207.01223
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization	Gilhyun Nam, Gyeongjae Choi, Kyungmin Lee	2022	arxiv 2208.10024
Vision Transformer Adapter for Dense Predictions	Zhe Chen, Yuchen Duan, Wenhai Wang	2022	arxiv 2205.08534
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation	Mixue Xie, Shuang Li, Rui Zhang	2023	arxiv 2302.13824
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger	Yi Yu, Yufei Wang, Wenhan Yang	2023	arxiv 2302.14677
DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds