mlsanityData to 14 Oct 2026

ClickTrack: Towards Real-time Interactive Single Object Tracking

arXiv 2411.13183 ↗First posted 20 Nov 2024cs.CVcited by 1

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Abstract (arXiv)

Single object tracking(SOT) relies on precise object bounding box initialization. In this paper, we reconsidered the deficiencies in the current approaches to initializing single object trackers and propose a new paradigm for single object tracking algorithms, ClickTrack, a new paradigm using clicking interaction for real-time scenarios. Moreover, click as an input type inherently lack hierarchical information. To address ambiguity in certain special scenarios, we designed the Guided Click Refiner(GCR), which accepts point and optional textual information as inputs, transforming the point into the bounding box expected by the operator. The bounding box will be used as input of single object trackers. Experiments on LaSOT and GOT-10k benchmarks show that tracker combined with GCR achieves stable performance in real-time interactive scenarios. Furthermore, we explored the integration of GCR into the Segment Anything model(SAM), significantly reducing ambiguity issues when SAM receives point inputs.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 16 of its 26 references that are in the map. First posted on arXiv 20 Nov 2024.

Builds on

16 of 26 references.

References · 16

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  4. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  5. 2019ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Taskscited by 2,222
  6. 2021CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrievalcited by 651
  7. 2016Fully-Convolutional Siamese Networks for Object Trackingcited by 568
  8. 2019Unified Vision-Language Pre-Training for Image Captioning and VQAcited by 494
  9. 2018GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wildcited by 475
  10. 2019Dynamic Convolution: Attention over Convolution Kernelscited by 356
  11. 2020Eigen-CAM: Class Activation Map using Principal Componentscited by 189
  12. 2019Grounding-Tracking-Integrationcited by 32
4 more
  1. 2022Point-to-Box Network for Accurate Object Detection via Single Point Supervisioncited by 31
  2. 2019Real-time Visual Object Tracking with Natural Language Descriptioncited by 26
  3. 2021TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioningcited by 8
  4. 2024Dense Center-Direction Regression for Object Counting and Localization with Point Supervisioncited by 3

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