{"total":33,"rows":[{"id":"2302.00487","title":"A Comprehensive Survey of Continual Learning: Theory, Method and Application","created":"2023-01-31","cited_by_count":872,"area":null},{"id":"2103.06342","title":"Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations","created":"2021-03-10","cited_by_count":96,"area":null},{"id":"2108.03673","title":"RECALL: Replay-based Continual Learning in Semantic Segmentation","created":"2021-08-08","cited_by_count":83,"area":null},{"id":"2106.12378","title":"Co-advise: Cross Inductive Bias Distillation","created":"2021-06-23","cited_by_count":40,"area":null},{"id":"2112.01882","title":"Incremental Learning in Semantic Segmentation from Image Labels","created":"2021-12-03","cited_by_count":39,"area":null},{"id":"2203.14098","title":"Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation","created":"2022-03-26","cited_by_count":37,"area":null},{"id":"2310.12244","title":"A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm","created":"2023-10-18","cited_by_count":33,"area":null},{"id":"2203.08404","title":"RBC: Rectifying the Biased Context in Continual Semantic Segmentation","created":"2022-03-16","cited_by_count":27,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2211.13969","title":"Unsupervised Continual Semantic Adaptation through Neural Rendering","created":"2022-11-25","cited_by_count":22,"area":null},{"id":"2403.07548","title":"Online Continual Learning For Interactive Instruction Following Agents","created":"2024-03-12","cited_by_count":22,"area":null},{"id":"2207.12964","title":"Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation","created":"2022-07-26","cited_by_count":16,"area":null},{"id":"2201.01073","title":"Towards Unsupervised Open World Semantic Segmentation","created":"2022-01-04","cited_by_count":13,"area":null},{"id":"2112.12833","title":"Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data","created":"2021-12-23","cited_by_count":10,"area":null},{"id":"2210.07016","title":"Learning with Style: Continual Semantic Segmentation Across Tasks and Domains","created":"2022-10-13","cited_by_count":9,"area":null},{"id":"2301.08555","title":"Hybrid Open-set Segmentation with Synthetic Negative Data","created":"2023-01-19","cited_by_count":8,"area":null},{"id":"2305.19879","title":"RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation","created":"2023-05-31","cited_by_count":6,"area":null},{"id":"2406.16231","title":"Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method","created":"2024-06-23","cited_by_count":6,"area":null},{"id":"2411.17610","title":"Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation","created":"2024-11-26","cited_by_count":6,"area":null},{"id":"2105.01595","title":"Self-Improving Semantic Perception for Indoor Localisation","created":"2021-05-04","cited_by_count":5,"area":null},{"id":"2212.08356","title":"Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management","created":"2022-12-16","cited_by_count":5,"area":null},{"id":"2202.08700","title":"Detecting and Learning the Unknown in Semantic Segmentation","created":"2022-02-17","cited_by_count":4,"area":null},{"id":"2309.10479","title":"RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation","created":"2023-09-19","cited_by_count":4,"area":null},{"id":"2310.00154","title":"Primal Dual Continual Learning: Balancing Stability and Plasticity through Adaptive Memory Allocation","created":"2023-09-29","cited_by_count":4,"area":null},{"id":"2502.12388","title":"Achieving Upper Bound Accuracy of Joint Training in Continual Learning","created":"2025-02-17","cited_by_count":4,"area":null},{"id":"2503.15106","title":"Distilling 3D distinctive local descriptors for 6D pose estimation","created":"2025-03-19","cited_by_count":4,"area":null},{"id":"2201.02560","title":"A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items","created":"2022-01-07","cited_by_count":3,"area":null},{"id":"2404.11981","title":"Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation","created":"2024-04-18","cited_by_count":3,"area":null},{"id":"2103.05227","title":"Uncertainty-aware Incremental Learning for Multi-organ Segmentation","created":"2021-03-09","cited_by_count":1,"area":null},{"id":"2211.10253","title":"Delving into Transformer for Incremental Semantic Segmentation","created":"2022-11-18","cited_by_count":1,"area":null},{"id":"2305.00983","title":"Detecting Novelties with Empty Classes","created":"2023-04-30","cited_by_count":1,"area":null},{"id":"2208.06636","title":"Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments","created":"2022-08-13","cited_by_count":0,"area":null},{"id":"2310.00369","title":"LIB-KD: Teaching Inductive Bias for Efficient Vision Transformer Distillation and Compression","created":"2023-09-30","cited_by_count":0,"area":null}],"next_cursor":null}