{"total":56,"rows":[{"id":"2203.07997","title":"InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding","created":"2022-03-15","cited_by_count":89,"area":null},{"id":"2312.08733","title":"VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding","created":"2023-12-14","cited_by_count":62,"area":null},{"id":"2112.09686","title":"Efficient Visual Tracking with Exemplar Transformers","created":"2021-12-17","cited_by_count":48,"area":null},{"id":"2111.14893","title":"Learning Multiple Dense Prediction Tasks from Partially Annotated Data","created":"2021-11-29","cited_by_count":42,"area":null},{"id":"2112.02582","title":"PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation","created":"2021-12-05","cited_by_count":36,"area":null},{"id":"2205.14354","title":"Multi-Task Learning with Multi-Query Transformer for Dense Prediction","created":"2022-05-28","cited_by_count":34,"area":null},{"id":"2301.03461","title":"DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction","created":"2023-01-09","cited_by_count":27,"area":null},{"id":"2206.08927","title":"DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning","created":"2022-06-17","cited_by_count":25,"area":null},{"id":"2204.02744","title":"Universal Representations: A Unified Look at Multiple Task and Domain Learning","created":"2022-04-06","cited_by_count":23,"area":null},{"id":"2306.04842","title":"InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding","created":"2023-06-08","cited_by_count":22,"area":null},{"id":"2311.13250","title":"FedHCA$^2$: Towards Hetero-Client Federated Multi-Task Learning","created":"2023-11-22","cited_by_count":17,"area":null},{"id":"2308.12372","title":"Vision Transformer Adapters for Generalizable Multitask Learning","created":"2023-08-23","cited_by_count":14,"area":null},{"id":"2311.05770","title":"PolyMaX: General Dense Prediction with Mask Transformer","created":"2023-11-09","cited_by_count":14,"area":null},{"id":"2307.15362","title":"Prompt Guided Transformer for Multi-Task Dense Prediction","created":"2023-07-28","cited_by_count":13,"area":null},{"id":"2403.10662","title":"SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images","created":"2024-03-15","cited_by_count":13,"area":null},{"id":"2311.03427","title":"TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding","created":"2023-11-06","cited_by_count":12,"area":null},{"id":"2312.13514","title":"BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions","created":"2023-12-21","cited_by_count":12,"area":null},{"id":"2303.01788","title":"Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving","created":"2023-03-03","cited_by_count":8,"area":null},{"id":"2303.09663","title":"Efficient Computation Sharing for Multi-Task Visual Scene Understanding","created":"2023-03-16","cited_by_count":8,"area":null},{"id":"2307.07934","title":"Contrastive Multi-Task Dense Prediction","created":"2023-07-16","cited_by_count":8,"area":null},{"id":"2310.00986","title":"Multi-task Learning with 3D-Aware Regularization","created":"2023-10-02","cited_by_count":8,"area":null},{"id":"2308.11744","title":"Efficient Controllable Multi-Task Architectures","created":"2023-08-22","cited_by_count":7,"area":null},{"id":"2405.14136","title":"Efficient Multitask Dense Predictor via Binarization","created":"2024-05-23","cited_by_count":7,"area":null},{"id":"2410.14633","title":"Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning","created":"2024-10-18","cited_by_count":7,"area":null},{"id":"2307.14382","title":"When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review","created":"2023-07-25","cited_by_count":6,"area":null},{"id":"2402.10580","title":"Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation","created":"2024-02-16","cited_by_count":6,"area":null},{"id":"2404.01976","title":"Joint-Task Regularization for Partially Labeled Multi-Task Learning","created":"2024-04-02","cited_by_count":6,"area":null},{"id":"2210.01384","title":"Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search","created":"2022-10-04","cited_by_count":5,"area":null},{"id":"2210.07239","title":"Composite Learning for Robust and Effective Dense Predictions","created":"2022-10-13","cited_by_count":4,"area":null},{"id":"2411.18823","title":"Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions","created":"2024-11-27","cited_by_count":4,"area":null},{"id":"2509.09828","title":"DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception","created":"2025-09-11","cited_by_count":4,"area":null},{"id":"2111.07846","title":"Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder","created":"2021-11-15","cited_by_count":3,"area":null},{"id":"2401.11124","title":"Cross-Task Affinity Learning for Multitask Dense Scene Predictions","created":"2024-01-20","cited_by_count":3,"area":null},{"id":"2401.12870","title":"Unlocking the Potential: Multi-task Deep Learning for Spaceborne Quantitative Monitoring of Fugitive Methane Plumes","created":"2024-01-23","cited_by_count":3,"area":null},{"id":"2507.20186","title":"SAMwave: Wavelet-Driven Feature Enrichment for Effective Adaptation of Segment Anything Model","created":"2025-07-27","cited_by_count":3,"area":null},{"id":"2509.23915","title":"Revisit the Imbalance Optimization in Multi-task Learning: An Experimental Analysis","created":"2025-09-28","cited_by_count":3,"area":null},{"id":"2510.17363","title":"M2H: Multi-Task Learning with Efficient Window-Based Cross-Task Attention for Monocular Spatial Perception","created":"2025-10-20","cited_by_count":3,"area":null},{"id":"2209.02518","title":"Sequential Cross Attention Based Multi-task Learning","created":"2022-09-06","cited_by_count":2,"area":null},{"id":"2308.05721","title":"DeGMix: Efficient Multi-Task Dense Prediction with Deformable and Gating Mixer","created":"2023-08-10","cited_by_count":2,"area":null},{"id":"2309.08424","title":"X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary Correction","created":"2023-09-15","cited_by_count":2,"area":null},{"id":"2403.10252","title":"Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning","created":"2024-03-15","cited_by_count":2,"area":null},{"id":"2405.17097","title":"A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation","created":"2024-05-27","cited_by_count":2,"area":null},{"id":"2410.03778","title":"SGW-based Multi-Task Learning in Vision Tasks","created":"2024-10-03","cited_by_count":2,"area":null},{"id":"2511.20646","title":"3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding","created":"2025-11-25","cited_by_count":2,"area":null},{"id":"2602.01594","title":"UV-M3TL: A Unified and Versatile Multimodal Multi-Task Learning Framework for Assistive Driving Perception","created":"2026-02-02","cited_by_count":2,"area":null},{"id":"2402.16848","title":"InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning","created":"2024-02-26","cited_by_count":1,"area":null},{"id":"2403.00327","title":"Task Indicating Transformer for Task-conditional Dense Predictions","created":"2024-03-01","cited_by_count":1,"area":null},{"id":"2405.06330","title":"Interpretable Multi-task Learning with Shared Variable Embeddings","created":"2024-05-10","cited_by_count":1,"area":null},{"id":"2412.03179","title":"Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization","created":"2024-12-04","cited_by_count":1,"area":null},{"id":"2505.21231","title":"Occlusion Boundary and Depth: Mutual Enhancement via Multi-Task Learning","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2304.00971","title":"Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation","created":"2023-04-03","cited_by_count":0,"area":null},{"id":"2508.00917","title":"A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2508.04422","title":"Efficient Inter-Task Attention for Multitask Transformer Models","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2604.01995","title":"MTLSI-Net: A Linear Semantic Interaction Network for Parameter-Efficient Multi-Task Dense Prediction","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2605.17661","title":"Mono-Hydra++: Real-Time Monocular Scene Graph Construction with Multi-Task Learning for 3D Indoor Mapping","created":"2026-05-17","cited_by_count":0,"area":null},{"id":"2608.28078","title":"Task-State Adaptation with Prototype Memory for Multi-Task Dense Prediction","created":"2026-08-28","cited_by_count":0,"area":null}],"next_cursor":null}