List your company

Research

Papers for “semantic segmentation”

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

Search results

TitleAuthorsYearSource
Data Factory with Minimal Human Effort Using VLMsJiaojiao Ye, Jiaxing Zhong, Qian Xie2025arxiv 2510.05722
Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything ModelIoannis Sarafis, Alexandros Papadopoulos, Anastasios Delopoulos2025arxiv 2509.19028
A Real-Time Diminished Reality Approach to Privacy in MR CollaborationChristian Fane2025arxiv 2509.10466
Bi-modal Prediction and Transformation Coding for Compressing Complex Human DynamicsHuong Hoang, Keito Suzuki, Truong Nguyen2025arxiv 2509.16919
Panoptic-CUDAL: Rural Australia Point Cloud Dataset in Rainy ConditionsTzu-Yun Tseng, Alexey Nekrasov, Malcolm Burdorf2025arxiv 2503.16378
Scale Equivariant Neural Networks with Morphological Scale-SpacesMateus Sangalli, Samy Blusseau, Santiago Velasco-Forero2021arxiv 2105.01335
Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic LabelingChen Zhao, Michele Esposito, Zhihui Xu2023arxiv 2308.10320
Image Data Augmentation for Deep Learning: A SurveySuorong Yang, Weikang Xiao, Mengchen Zhang2022arxiv 2204.08610
Is Continual Learning Ready for Real-world Challenges?Theodora Kontogianni, Yuanwen Yue, Siyu Tang2024arxiv 2402.10130
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionSongyang Zhang, Zeming Li, Shipeng Yan2021arxiv 2103.16370
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood DensityKuniaki Saito, Donghyun Kim, Piotr Teterwak2021arxiv 2108.10860
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for LidarsYuanxin Zhong, Minghan Zhu, Huei Peng2021arxiv 2107.02980
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband ItemsTaimur Hassan, Samet Akcay, Mohammed Bennamoun2022arxiv 2201.02560
Geography-Aware Self-Supervised LearningKumar Ayush, Burak Uzkent, Chenlin Meng2020arxiv 2011.09980
Neural Photometry-guided Visual Attribute TransferCarlos Rodriguez-Pardo, Elena Garces2021arxiv 2112.02520
Sub-cortical brain structure segmentation using F-CNN'sMahsa Shakeri, Stavros Tsogkas, Enzo Ferrante2016arxiv 1602.02130
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-raysSejin Park, Woochan Hwang, Kyu-Hwan Jung2018arxiv 1811.08840
Identifying Most Walkable Direction for Navigation in an Outdoor EnvironmentSachin Mehta, Hannaneh Hajishirzi, Linda Shapiro2017arxiv 1711.08040
Learning Image Representations by Completing Damaged Jigsaw PuzzlesDahun Kim, Donghyeon Cho, Donggeun Yoo2018arxiv 1802.01880
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentationXiangrui Zeng, Miguel Ricardo Leung, Tzviya Zeev-Ben-Mordehai2017arxiv 1706.04970