mlsanityData to 14 Oct 2026

DAL -- A Deep Depth-aware Long-term Tracker

arXiv 1912.00660 ↗First posted 2 Dec 2019cs.CVcited by 26

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Abstract (arXiv)

The best RGBD trackers provide high accuracy but are slow to run. On the other hand, the best RGB trackers are fast but clearly inferior on the RGBD datasets. In this work, we propose a deep depth-aware long-term tracker that achieves state-of-the-art RGBD tracking performance and is fast to run. We reformulate deep discriminative correlation filter (DCF) to embed the depth information into deep features. Moreover, the same depth-aware correlation filter is used for target re-detection. Comprehensive evaluations show that the proposed tracker achieves state-of-the-art performance on the Princeton RGBD, STC, and the newly-released CDTB benchmarks and runs 20 fps.

Key facts. Cited by 26 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Dec 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 5; 2023: 3; 2024: 4; 2025: 9; 2026: 4.

26 papers.

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  1. 2023Visual Prompt Multi-Modal Trackingcited by 142
  2. 2021DepthTrack : Unveiling the Power of RGBD Trackingcited by 67
  3. 2022Prompting for Multi-Modal Trackingcited by 59
  4. 2024SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Trackingcited by 44
  5. 2022RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Trackingcited by 42
  6. 2023Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Trackingcited by 21
  7. 2025What You Have is What You Track: Adaptive and Robust Multimodal Trackingcited by 15
  8. 2023ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Datacited by 12
  9. 2022RGBD Object Tracking: An In-depth Reviewcited by 11
  10. 2025CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Featurescited by 10
  11. 2024X-Prompt: Multi-modal Visual Prompt for Video Object Segmentationcited by 7
  12. 2022Visual Object Tracking on Multi-modal RGB-D Videos: A Reviewcited by 5
14 more
  1. 2022Learning Dual-Fused Modality-Aware Representations for RGBD Trackingcited by 5
  2. 2025Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithmcited by 3
  3. 2026SEATrack: Simple, Efficient, and Adaptive Multimodal Trackercited by 3
  4. 2024From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillationcited by 2
  5. 2025Omni Survey for Multimodality Analysis in Visual Object Trackingcited by 2
  6. 2026UETrack: A Unified and Efficient Framework for Single Object Trackingcited by 2
  7. 2025LightFC-X: Lightweight Convolutional Tracker for RGB-X Trackingcited by 1
  8. 2025UASTrack: A Unified Adaptive Selection Framework with Modality-Customization in Single Object Trackingcited by 1
  9. 2025RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memorycited by 1
  10. 2025RGB-D Tracking via Hierarchical Modality Aggregation and Distribution Networkcited by 1
  11. 2024Enhanced Object Tracking by Self-Supervised Auxiliary Depth Estimation Learningcited by 0
  12. 2025Optimizing Multi-Modality Trackers via Significance-Regularized Tuningcited by 0
  13. 2026Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruningcited by 0
  14. 2026UniMergeTrack: Hierarchical Model Merging for General RGB-X Visual Object Trackingcited by 0