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
Membership Inference Attacks Against Semantic Segmentation Models	Tomas Chobola, Dmitrii Usynin, Georgios Kaissis	2022	arxiv 2212.01082
Weakly-Supervised Semantic Segmentation using Motion Cues	Pavel Tokmakov, Karteek Alahari, Cordelia Schmid	2016	arxiv 1603.07188
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation	Maximilian Jaritz, Raoul de Charette, Emilie Wirbel	2018	arxiv 1808.00769
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets	Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette	2022	arxiv 2202.06884
SLTNet: Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks	Xianlei Long, Xiaxin Zhu, Fangming Guo	2024	arxiv 2412.12843
Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images	Libo Wang, Ce Zhang, Rui Li	2021	arxiv 2103.07935
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding	Kunyu Peng, Juncong Fei, Kailun Yang	2021	arxiv 2107.00346
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks	Yaoru Luo, Guole Liu, Yuanhao Guo	2022	arxiv 2205.00160
CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation	Monika Wysoczańska, Oriane Siméoni, Michaël Ramamonjisoa	2023	arxiv 2312.12359
Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation