Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-03T15:29:40.807911Z
Paper Citation Record · LEDGER
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting
As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.02139.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
57 of 57 outbound references displayed
- verified exact1
- verified fuzzy55
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 71a2090d-0397-4111-90b4-ed2f1c84d716 · outbound
This paper cites Open-world text-specifed object counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Open-world text-specifed object counting
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.068058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b581eeab-403c-4839-8ced-23e316c7fd45 · outbound
This paper cites Countgd: Multi-modal open-world counting.Advances in Neural In- formation Processing Systems, 37:48810–48837, 2024.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Countgd: Multi-modal open-world counting.Advances in Neural In- formation Processing Systems, 37:48810–48837, 2024
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.103241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d3d9702f-af47-4316-93c1-005b2934d8cd · outbound
This paper cites Countgd++: Gen- eralized prompting for open-world counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Countgd++: Gen- eralized prompting for open-world counting
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.072566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 33a08891-32f8-4081-ae13-edee06388e91 · outbound
This paper cites Open-world ob- ject counting in videos.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Open-world ob- ject counting in videos
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.137536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 401831d9-acb6-4aa6-a6b1-7a0380a6a830 · outbound
This paper cites Completely self-supervised crowd counting via distribution matching.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Completely self-supervised crowd counting via distribution matching
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.106971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation af9cfde5-9fdb-4c48-9dee-a6c7b2760692 · outbound
This paper cites Unveiling visual perception in language models: An attention head analysis approach.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Unveiling visual perception in language models: An attention head analysis approach
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.036269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ff2411b4-f314-4f40-a638-892ea4cceb62 · outbound
This paper cites Perception encoder: The best visual embeddings are not at the output of the net- work.Advances in Neural Information Processing Systems, 38:60884–60937, 2026.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Perception encoder: The best visual embeddings are not at the output of the net- work.Advances in Neural Information Processing Systems, 38:60884–60937, 2026
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.109062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ef57db69-772f-41e6-a4f5-afa25d750442 · outbound
This paper cites A vehicle counts by class framework using distinguished regions tracking at mul- tiple intersections.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting A vehicle counts by class framework using distinguished regions tracking at mul- tiple intersections
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.114824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 20342661-5c84-4c7e-bc1d-5660cd219f12 · outbound
This paper cites Sam 3: Segment anything with concepts.The Fourteenth International Conference on Learning Representations., 2026.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Sam 3: Segment anything with concepts.The Fourteenth International Conference on Learning Representations., 2026
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.114410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e17237e3-3176-4c64-8bc2-103c07515737 · outbound
This paper cites Mind the prompt: A novel benchmark for prompt-based class-agnostic counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Mind the prompt: A novel benchmark for prompt-based class-agnostic counting
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.141376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ee496ce2-ac0c-45c1-92d6-d0ae8a239534 · outbound
This paper cites Constructive distortion: Improving MLLMs with attention-guided image warping.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Constructive distortion: Improving MLLMs with attention-guided image warping
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.111045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 121d8bfc-faa1-4fbe-abab-928923f2002c · outbound
This paper cites Afreeca: Annotation-free counting for all.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Afreeca: Annotation-free counting for all
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.107227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dd740d65-9fb0-4b1c-9887-f764586245b2 · outbound
This paper cites Image retargeting using mesh parametrization.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Image retargeting using mesh parametrization
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.031555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 48e43d99-0f2d-479e-aab0-4a9669fbe707 · outbound
This paper cites Few-shot object counting with dynamic similarity-aware in latent space.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14, 2024.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Few-shot object counting with dynamic similarity-aware in latent space.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14, 2024
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.034079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 43819a5f-79e3-429f-bf23-4402189983b6 · outbound
This paper cites Learning to count anything: Reference-less class-agnostic counting with weak supervision.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Learning to count anything: Reference-less class-agnostic counting with weak supervision.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.135268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 78c5153d-5bc4-48ed-8ed8-ba73f10c9fde · outbound
This paper cites Drone- based object counting by spatially regularized regional pro- posal network.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Drone- based object counting by spatially regularized regional pro- posal network
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.040383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 64a946c6-4030-47a8-b3fd-09257dbeed01 · outbound
This paper cites Interac- tive class-agnostic object counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Interac- tive class-agnostic object counting
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.042340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 289da7dd-a355-4550-a4ae-5435fbb28b86 · outbound
This paper cites Point segment and count: A gener- alized framework for object counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Point segment and count: A gener- alized framework for object counting
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.046637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 237733e1-f3f9-4482-99bb-74266e887bf8 · outbound
This paper cites Class- agnostic object counting with text-to-image diffusion model.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Class- agnostic object counting with text-to-image diffusion model
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.070153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1fc9836c-ce59-45b8-9546-57f4319920e2 · outbound
This paper cites Clip- count: Towards text-guided zero-shot object counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Clip- count: Towards text-guided zero-shot object counting
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.066202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation edc5bfa0-2378-4c11-98e5-7544e2e87676 · outbound
This paper cites Vlcounter: Text-aware visual representation for zero- shot object counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Vlcounter: Text-aware visual representation for zero- shot object counting
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.101291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8750745-2477-4115-8903-8210d8a21ae5 · outbound
This paper cites Energy- based image deformation.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Energy- based image deformation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.024811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 69a52b9b-73aa-4b15-a333-fe61586b88cf · outbound
This paper cites Segment any- thing.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Segment any- thing
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.026885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b8fac23d-e4b9-4532-bf93-4028b4d2b4e2 · outbound
This paper cites Calibrating uncertainty for semi-supervised crowd counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Calibrating uncertainty for semi-supervised crowd counting
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.067353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 35753df3-1a94-4879-b094-d2384e7ccaa4 · outbound
This paper cites an unresolved cited work.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T06:20:45.080109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a76ca56b-956d-415f-a142-ef9afd668acf · outbound
This paper cites A simple-but-effective baseline for training-free class- agnostic counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting A simple-but-effective baseline for training-free class- agnostic counting
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.019763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 881f2388-c8a4-4667-b041-65e87e25248b · outbound
This paper cites Improved baselines with visual instruction tuning.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Improved baselines with visual instruction tuning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.002973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 836ede25-8154-430e-90f3-2b01005c22c4 · outbound
This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.022244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation de955be7-19c9-49f7-a400-b6572891d31d · outbound
This paper cites Countse: Soft exemplar open-set object counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Countse: Soft exemplar open-set object counting
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.029322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dcd3e726-532d-4c86-acd9-208d32cbcc49 · outbound
This paper cites Can SAM Count Anything? An Empirical Study on SAM Counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Can SAM Count Anything? An Empirical Study on SAM Counting
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:38:33.202530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 85b54735-fbec-4666-a248-8e5eccd56c07 · outbound
This paper cites Through the magnifying glass: Adaptive perception magnification for hallucination-free vlm decoding.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Through the magnifying glass: Adaptive perception magnification for hallucination-free vlm decoding
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.131396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 66f8134f-2ba2-47c0-b41b-c1d7dd18c8ef · outbound
This paper cites Omnicount: Multi-label object counting with semantic- geometric priors.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Omnicount: Multi-label object counting with semantic- geometric priors
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.051506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3042ea3c-c5af-415e-99ca-d8ed8841a6d2 · outbound
This paper cites Few-shot object counting and detection.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Few-shot object counting and detection
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.038260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 29a537a9-118e-4fe9-b8fe-2295c38a2d74 · outbound
This paper cites Sam3count for zero-shot open vocabulary counting in images and videos.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Sam3count for zero-shot open vocabulary counting in images and videos
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.091549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a9769e15-c59c-4cf7-ac5e-fb4979b3be6a · outbound
This paper cites Count- ingdino: A training-free pipeline for class-agnostic count- ing using unsupervised backbones.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Count- ingdino: A training-free pipeline for class-agnostic count- ing using unsupervised backbones
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.089200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 27c3d686-7e3c-4753-8013-ff6950ea9c27 · outbound
This paper cites Count-ception: Counting by fully convolutional redundant counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Count-ception: Counting by fully convolutional redundant counting
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.097485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc89f42b-39d0-4134-beff-14897faaecb5 · outbound
This paper cites A novel unified architecture for low-shot counting by detection and segmentation.Advances in Neural Information Processing Systems, 37:66260–66282, 2024.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting A novel unified architecture for low-shot counting by detection and segmentation.Advances in Neural Information Processing Systems, 37:66260–66282, 2024
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.096680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 984593da-9093-45da-a36a-f6c9c0cb5657 · outbound
This paper cites Dave-a detect-and-verify paradigm for low-shot counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Dave-a detect-and-verify paradigm for low-shot counting
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.078137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e11e9c31-486c-4759-8cd9-2b59c35f9b5a · outbound
This paper cites T2icount: Enhancing cross-modal understanding for zero-shot counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting T2icount: Enhancing cross-modal understanding for zero-shot counting
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.082067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0fcba8f3-f2fb-4bb9-a590-cfe35ecbe5b5 · outbound
This paper cites Deep count: fruit counting based on deep simulated learning.Sensors, 17(4): 905, 2017.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Deep count: fruit counting based on deep simulated learning.Sensors, 17(4): 905, 2017
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.099015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c5ce4282-60fd-4d94-8353-edabadcf387e · outbound
This paper cites Learning to count everything.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Learning to count everything
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.076958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2bb26f41-074b-4f5c-a6a6-3e65cc27c2a4 · outbound
This paper cites A comparative study of image retargeting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting A comparative study of image retargeting
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.110882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation df73f4f4-1a64-4ebb-a007-9d0a6b883d6f · outbound
This paper cites Training-free ob- ject counting with prompts.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Training-free ob- ject counting with prompts
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.069259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c9c083a9-4283-4696-b5a3-17cc6213ed4a · outbound
This paper cites Persense: Training-free personalized instance segmentation in dense images.BMVC, 2025.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Persense: Training-free personalized instance segmentation in dense images.BMVC, 2025
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.105235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3b46efa2-df28-4850-82aa-d1f0c10028b7 · outbound
This paper cites Learning to resize images for computer vision tasks.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Learning to resize images for computer vision tasks
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.076026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d924b1a4-063b-4b8d-b3e7-5b620fdb0050 · outbound
This paper cites Degpr: Deep guided posterior regularization for multi-class cell de- tection and counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Degpr: Deep guided posterior regularization for multi-class cell de- tection and counting
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.109057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 028bf547-5c90-4426-a0b8-97968c230a30 · outbound
This paper cites Zero-shot object counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Zero-shot object counting
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.103067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b27b18f9-ff21-49dc-b91c-f2ce4d2dee4c · outbound
This paper cites Class-agnostic few-shot object counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Class-agnostic few-shot object counting
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.139436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 688b2573-f074-448f-806c-4c8b866bbe5c · outbound
This paper cites Content-driven retargeting of stereoscopic images.IEEE Signal Processing Letters, 20(5):519–522, 2013.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Content-driven retargeting of stereoscopic images.IEEE Signal Processing Letters, 20(5):519–522, 2013
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.047625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b18ed4a6-b762-4895-a185-eb0fe9e48002 · outbound
This paper cites Few-shot object counting with similarity-aware feature enhancement.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Few-shot object counting with similarity-aware feature enhancement
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.061599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 346a6398-5c44-49d0-8e02-2d436ec09294 · outbound
This paper cites Yolo-count: Differentiable object counting for text-to-image generation.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Yolo-count: Differentiable object counting for text-to-image generation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.063359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ccd8ff5-9350-4ed6-b628-89a5f79d8970 · outbound
This paper cites Zero-shot object counting with vision-language prior guid- ance network.IEEE Transactions on Circuits and Systems for Video Technology, 2024.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Zero-shot object counting with vision-language prior guid- ance network.IEEE Transactions on Circuits and Systems for Video Technology, 2024
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.062623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f30b24cf-f2b8-4221-ac29-b5021892d32b · outbound
This paper cites Boosting quantitive and spatial awareness for zero-shot object counting.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Boosting quantitive and spatial awareness for zero-shot object counting
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.055705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 21314167-eb40-43fd-8168-56fa9a723471 · outbound
This paper cites Personalize segment anything model with one shot.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Personalize segment anything model with one shot
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.045529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3981cc35-d880-4cee-8c3d-9f5d4ab9d81c · outbound
This paper cites Enhancing zero-shot object counting via text-guided local ranking and number- evoked global attention.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Enhancing zero-shot object counting via text-guided local ranking and number- evoked global attention
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.041586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 73fa001c-d8cb-44a5-99d8-c274029dc62f · outbound
This paper cites Instance-warp: Saliency guided image warping for unsuper- vised domain adaptation.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting Instance-warp: Saliency guided image warping for unsuper- vised domain adaptation
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.053596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 432aa6b1-e4c3-47be-9208-b21f82ddacbe · outbound
This paper cites apple” , GT:157 Count: 141 Spatial WarpingSimilarity Map Count: 159“stamp.
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting apple” , GT:157 Count: 141 Spatial WarpingSimilarity Map Count: 159“stamp
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T06:20:45.057789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.