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MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers

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Extract Free Dense Labels from CLIP

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AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

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DACS: Domain Adaptation via Cross-domain Mixed Sampling

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ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning

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A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions

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MultiMAE: Multi-modal Multi-task Masked Autoencoders

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A Survey on Deep Learning Technique for Video Segmentation

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Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

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Continental-Scale Building Detection from High Resolution Satellite ImageryPreprint

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Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation

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Contrastive Learning for Label Efficient Semantic Segmentation

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InverseForm: A Loss Function for Structured Boundary-Aware Segmentation

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Pointly-Supervised Instance Segmentation

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ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation

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k-means Mask Transformer

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Denoising Pretraining for Semantic Segmentation

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Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks

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Milestones in Autonomous Driving and Intelligent Vehicles—Part II: Perception and Planning

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A review and meta-analysis of Generative Adversarial Networks and their applications in remote sensing

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Improving Semantic Segmentation via Efficient Self-Training

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Deep-learning-based visual data analytics for smart construction management

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Robust Semantic Segmentation With Multi-Teacher Knowledge Distillation

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C3-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing

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Multi-Task Self-Training for Learning General Representations

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When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation

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Semi-Supervised Semantic Segmentation with Cross Pseudo SupervisionPreprint

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A Closer Look at Self-training for Zero-Label Semantic Segmentation

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Is Context-Aware CNN Ready for the Surroundings? Panoramic Semantic Segmentation in the Wild

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DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency

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STEP: Segmenting and Tracking Every PixelPreprint

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A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis

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MGNet: Monocular Geometric Scene Understanding for Autonomous Driving

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Scalable Scene Flow From Point Clouds in the Real World

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Conservative-Progressive Collaborative Learning for Semi-Supervised Semantic Segmentation

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Domain Adaptive Video Segmentation via Temporal Consistency Regularization

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Semi-supervised semantic segmentation framework with pseudo supervisions for land-use/land-cover mapping in coastal areas

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Pseudo-Label Refinement Using Superpixels for Semi-Supervised Brain Tumour Segmentation

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AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation

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Exploring Event-Driven Dynamic Context for Accident Scene Segmentation

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PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation

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DeepLab2: A TensorFlow Library for Deep LabelingPreprint

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Machine learning approaches to improve disease management of patients with rheumatoid arthritis: review and future directions

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ECAE: Edge-Aware Class Activation Enhancement for Semisupervised Remote Sensing Image Semantic Segmentation

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Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer

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Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation

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MaX-DeepLab: End-to-End Panoptic Segmentation with Mask TransformersPreprint

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Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation

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A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions

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PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation

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ECPS: Cross Pseudo Supervision Based on Ensemble Learning for Semi-Supervised Remote Sensing Change Detection

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Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment

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Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training

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Scaling Wide Residual Networks for Panoptic SegmentationPreprint

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USD: Uncertainty-Based One-Phase Learning to Enhance Pseudo-Label Reliability for Semi-Supervised Object Detection

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ComplexMix: Semi-Supervised Semantic Segmentation Via Mask-Based Data Augmentation

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Multimodal Knowledge Expansion

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JUPITER – ROS based Vehicle Platform for Autonomous Driving Research

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Guided Filter Network for Semantic Image Segmentation

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Instance-wise Occlusion and Depth Orders in Natural Scenes

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Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation

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Self-supervised contrastive video representation learning for construction equipment activity recognition on limited dataset

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Video Mask Transfiner for High-Quality Video Instance Segmentation

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Pseudo-labeling for Scalable 3D Object DetectionPreprint

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DenseCLIP: Extract Free Dense Labels from CLIPPreprint

Zhou, C., Loy, C. C., & Dai, B. (2021) · arXiv (Cornell University) · Cited by 21 · see citing works

Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation

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Locating Noise is Halfway Denoising for Semi-Supervised Segmentation

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Few-Shot Panoptic Segmentation With Foundation Models

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A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-TimePreprint

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PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems

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To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation

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U-LanD: Uncertainty-Driven Video Landmark Detection

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Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions

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Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature Reconstruction

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Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation

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Video Instance Segmentation by Instance Flow Assembly

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Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

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Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency

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Optical Flow in the Dark

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Deep Tri-Training for Semi-Supervised Image Segmentation

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Triple-View Feature Learning for Medical Image Segmentation

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MLC: Multi-level consistency learning for semi-supervised left atrium segmentation

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Leveraging Deep Neural Networks to Map Caribou Lichen in High-Resolution Satellite Images Based on a Small-Scale, Noisy UAV-Derived Map

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Robust Mutual Learning for Semi-supervised Semantic SegmentationPreprint

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Semi-supervised Dual-Domain Adaptation for Semantic Segmentation

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ReFs: A hybrid pre-training paradigm for 3D medical image segmentation

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Generated Pseudo-Labels Guided by Background Skeletons for Overcoming Under-Segmentation in Overlapping Particle Objects

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SegMatch: semi-supervised surgical instrument segmentation

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Joint Global and Dynamic Pseudo Labeling for Semi-Supervised Point Cloud Sequence Segmentation

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Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning

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Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image

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Structural and Pixel Relation Modeling for Semisupervised Instrument Segmentation From Surgical Videos

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Detection of Critical Structures in Laparoscopic Cholecystectomy Using Label Relaxation and Self-supervision

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Semantic Segmentation Using Pixel-Wise Adaptive Label Smoothing via Self-Knowledge Distillation for Limited Labeling Data

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DST-Det: Open-Vocabulary Object Detection via Dynamic Self-Training

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Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos

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Semi-Supervised Learning in Video Sequences for Urban Scene SegmentationPreprint

Chen, L.-C., Lopes, R. G., Cheng, B., Collins, M. D., Cubuk, E. D., Zoph, B., Adam, H., & Shlens, J. (2020) · arXiv (Cornell University) · Cited by 14 · see citing works

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Urban scene semantic segmentation with insufficient labeled data

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Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024Preprint

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Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation

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