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Papers for “semantic segmentation”

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

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TitleAuthorsYearSource
AMCO: Adaptive Multimodal Coupling of Vision and Proprioception for Quadruped Robot Navigation in Outdoor EnvironmentsMohamed Elnoor, Kasun Weerakoon, Adarsh Jagan Sathyamoorthy2024arxiv 2403.13235
Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided MattingWeihao Jiang, Zhaozhi Xie, Yuxiang Lu2024arxiv 2403.19213
ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head DetectionJiayi Wang, Yi-An Mao, Xiaoyu Ma2024arxiv 2405.09552
Stable Neighbor Denoising for Source-free Domain Adaptive SegmentationDong Zhao, Shuang Wang, Qi Zang2024arxiv 2406.06813
A Simple and Generic Framework for Feature Distillation via Channel-wise TransformationZiwei Liu, Yongtao Wang, Xiaojie Chu2023arxiv 2303.13212
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision TransformersRyan Grainger, Thomas Paniagua, Xi Song2022arxiv 2203.11987
Backdoor Attacks for Remote Sensing Data with Wavelet TransformNikolaus Dräger, Yonghao Xu, Pedram Ghamisi2022arxiv 2211.08044
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual treesStefano Puliti, Grant Pearse, Peter Surový2023arxiv 2309.01279
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg CodebaseYouquan Liu, Runnan Chen, Xin Li2023arxiv 2309.05573
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-trainingChe Liu, Cheng Ouyang, Sibo Cheng2023arxiv 2312.01522
Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted EsophagectomyRonald L.P.D. de Jong, Yasmina al Khalil, Tim J.M. Jaspers2024arxiv 2412.03401
Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognitionChuanxin Song, Hanbo Wu, Xin Ma2023arxiv 2305.12661
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentationChenying Liu, Conrad Albrecht, Yi Wang2024arxiv 2405.01217
Mixed-domain Training Improves Multi-Mission Terrain SegmentationGrace Vincent, Alice Yepremyan, Jingdao Chen2022arxiv 2209.13674
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action DetectionYifan Lu, Gurkirt Singh, Suman Saha2022arxiv 2209.15439
Propagating Semantic Labels in Video DataDavid Balaban, Justin Medich, Pranay Gosar2023arxiv 2310.00783
Real-Time Facial Segmentation and Performance Capture from RGB InputShunsuke Saito, Tianye Li, Hao Li2016arxiv 1604.02647
DeepGCNs: Making GCNs Go as Deep as CNNsGuohao Li, Matthias Müller, Guocheng Qian2019arxiv 1910.06849
CLIMB-3D: Continual Learning for Imbalanced 3D Instance SegmentationVishal Thengane, Jean Lahoud, Hisham Cholakkal2025arxiv 2502.17429
Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB SegmentationNan Bao, Yifan Zhao, Lin Zhu2025arxiv 2511.08269