mlsanityData to 14 Oct 2026

Open-world Text-specified Object Counting

arXiv 2306.01851 ↗First posted 2 Jun 2023cs.CVcited by 41

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Abstract (arXiv)

Our objective is open-world object counting in images, where the target object class is specified by a text description. To this end, we propose CounTX, a class-agnostic, single-stage model using a transformer decoder counting head on top of pre-trained joint text-image representations. CounTX is able to count the number of instances of any class given only an image and a text description of the target object class, and can be trained end-to-end. In addition to this model, we make the following contributions: (i) we compare the performance of CounTX to prior work on open-world object counting, and show that our approach exceeds the state of the art on all measures on the FSC-147 benchmark for methods that use text to specify the task; (ii) we present and release FSC-147-D, an enhanced version of FSC-147 with text descriptions, so that object classes can be described with more detailed language than their simple class names. FSC-147-D and the code are available at https://www.robots.ox.ac.uk/~vgg/research/countx.

Key facts. Cited by 41 papers in the map (data through 14 Oct 2026). Builds on 21 of its 35 references that are in the map. First posted on arXiv 2 Jun 2023.

Builds on

21 of 35 references.

References · 21

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  4. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  5. 2017Mask R-CNNcited by 7,277
  6. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,152
  7. 2021LiT: Zero-Shot Transfer with Locked-image text Tuningcited by 577
  8. 2023Teaching CLIP to Count to Tencited by 198
  9. 2017Drone-based Object Counting by Spatially Regularized Regional Proposal Networkcited by 156
  10. 2021Learning To Count Everythingcited by 150
  11. 2016A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learningcited by 86
  12. 2018Class-Agnostic Countingcited by 85
9 more
  1. 2022Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Countingcited by 80
  2. 2022CounTR: Transformer-based Generalised Visual Countingcited by 79
  3. 2022A Low-Shot Object Counting Network With Iterative Prototype Adaptationcited by 65
  4. 2022Few-shot Object Counting with Similarity-Aware Feature Enhancementcited by 62
  5. 2023Zero-shot Object Countingcited by 57
  6. 2022Few-shot Object Counting and Detectioncited by 55
  7. 2022Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervisioncited by 41
  8. 2022Exemplar Free Class Agnostic Countingcited by 32
  9. 2020Completely Self-Supervised Crowd Counting via Distribution Matchingcited by 22

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 7; 2025: 14; 2026: 20.

41 papers.

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  1. 2024CountGD: Multi-Modal Open-World Countingcited by 59
  2. 2026Seed1.8 Model Card: Towards Generalized Real-World Agencycited by 50
  3. 2024DAVE -- A Detect-and-Verify Paradigm for Low-Shot Countingcited by 49
  4. 2025CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Rewardcited by 15
  5. 2024Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Countingcited by 11
  6. 2025Open-World Object Counting in Videoscited by 11
  7. 2024OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videoscited by 10
  8. 2025Exploring Contextual Attribute Density in Referring Expression Countingcited by 10
  9. 2024Every Shot Counts: Using Exemplars for Repetition Counting in Videoscited by 9
  10. 2025CountGD++: Generalized Prompting for Open-World Countingcited by 8
  11. 2025A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approachescited by 7
  12. 2025Can Current AI Models Count What We Mean, Not What They See? A Benchmark and Systematic Evaluationcited by 7
29 more
  1. 2026Vision as Unified Multimodal Generationcited by 7
  2. 2025Single Domain Generalization for Few-Shot Counting via Universal Representation Matchingcited by 6
  3. 2025CompareBench: A Benchmark for Visual Comparison Reasoning in Vision-Language Modelscited by 3
  4. 2025What is the Right Embedding Space for Contrastive Learning in Referring Expression Counting?cited by 2
  5. 2025Text-promptable Object Counting via Quantity Awareness Enhancementcited by 2
  6. 2026Chain-of-Look Spatial Reasoning for Dense Surgical Instrument Countingcited by 2
  7. 2026Bootstrapping MLLM for Weakly-Supervised Class-Agnostic Object Countingcited by 2
  8. 2026Does it Really Count? Assessing Semantic Grounding in Text-Guided Class-Agnostic Countingcited by 2
  9. 2024Enhancing Zero-shot Counting via Language-guided Exemplar Learningcited by 1
  10. 2025Expanding Zero-Shot Object Counting with Rich Promptscited by 1
  11. 2025Counting Through Occlusion: Framework for Open World Amodal Countingcited by 1
  12. 2025Object Counting with GPT-4o and GPT-5: A Comparative Studycited by 1
  13. 2026CountEx: Fine-Grained Counting via Exemplars and Exclusioncited by 1
  14. 2026Count Anything at Any Granularitycited by 1
  15. 2026The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Countingcited by 1
  16. 2026Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual Reasoningcited by 1
  17. 2026Spatially-Aware Class-Agnostic Object Countingcited by 1
  18. 2024A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Countingcited by 0
  19. 2025CountFormer: A Transformer Framework for Learning Visual Repetition and Structure in Class-Agnostic Object Countingcited by 0
  20. 2026Count Anythingcited by 0
  21. 2026RT-Counter: Real-Time Text-Guided Open-Vocabulary Object Countingcited by 0
  22. 2026Test-Time Training for Robust Text-Guided Open-Vocabulary Object Countingcited by 0
  23. 2026MambaCount: Efficient Text-guided Open-vocabulary Object Counting with Spatial Sparse State Space Duality Blockcited by 0
  24. 2026ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generationcited by 0
  25. 2026Depth-Guided Video Object Counting in Crowded Scenescited by 0
  26. 2026Object Counting Across Modalities: Taxonomies, Benchmarks, Applications, and Open Challengescited by 0
  27. 2026Bottom-up Modeling of Repeated Elements via Single Image Analysis-by-Synthesiscited by 0
  28. 2026DualCount: Structurally Consistent Density and Point Modeling for Zero-Shot Object Countingcited by 0
  29. 2026EviRover: Reinforcing Agentic Perception Beyond a Glancecited by 0