Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:29:34.999362Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2602.07955.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:29:34.999362Z
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
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b79f74e4-63c0-4dc8-8162-692149663fcb · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Divide and grow: Capturing huge diversity in crowd images with incrementally growing cnn
Reference 1
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Observation fa680799-9bdf-4468-af61-65e6700258da · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Semantic generative augmentations for few-shot counting
Reference 8
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Observation e0cc679d-28da-48c2-ae2f-451049fe0375 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Domain-general crowd counting in unseen scenarios
Reference 9
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Observation 92b76ca1-335f-4044-ab26-8cca7a0612a1 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation CNN-based Density Estimation and Crowd Counting: A Survey
Reference 10
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Observation d075c312-1b9f-440e-b06c-6f300ea45ada · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Kang and A
Reference 12
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Observation df83e6c2-256b-42ef-8459-9fe752f31c40 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Vlcounter: Text-aware visual repre- sentation for zero-shot object counting
Reference 13
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Observation 80b4aa62-fca0-4eff-89b4-9b3cebd36a86 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Estimating the number of people in crowded scenes by mid based foreground segmentation and head-shoulder detection
Reference 14
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Observation 26fec5af-cef4-4265-958b-4b92a38e8245 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Crowdclip: Unsupervised crowd counting via vision-language model
Reference 16
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Observation 5ca1eb2e-69eb-4b72-82cf-0ae9c80aece6 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Attentive crowd flow machines
Reference 17
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Observation 23291cca-8a72-4d18-a92c-8cd678d3c79a · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Unresolved cited work
Reference 18
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Observation 095a570f-57bd-4900-9965-cad98048ae37 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Teaching clip to count to ten
Reference 21
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Observation 5937e8cc-e19f-4772-a5c4-21ea40eb9650 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Switchable whitening for deep representation learning
Reference 22
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Observation c4e20529-72ec-41f6-9f6f-73e85f1973cc · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Dave - a detect-and-verify paradigm for low-shot counting
Reference 23
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Observation 2444bf5d-b848-4a56-bdef-22a204671b58 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Gary Chan
Reference 24
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Observation 27a62437-30c9-4fda-8607-2ad4c1f3948d · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Unresolved cited work
Reference 25
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Observation e73edc1e-8842-4be4-9fe1-eaca4c98d290 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Learning to count everything
Reference 26
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Observation 1c263896-d055-4651-8d85-da5b90ec5fa6 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Optimization as a model for few-shot learning
Reference 27
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Observation 89137b69-c5fd-4105-81f0-6253332b41d9 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Reference 29
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Observation bc208c6c-0352-4f0e-9842-7348e5e0448e · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation A compre- hensive survey of few-shot learning: Evolution, applica- tions, challenges, and opportunities.ACM Computing Sur- veys, 55(13s):1–40,
Reference 30
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Observation f7f26fdb-003d-49b2-9e1b-3d1e9e4abc70 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Language-guided zero-shot object counting
Reference 31
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Unavailable: canonical work link unavailable.
Observation 060144e6-6038-44bf-830b-3be392495ecf · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Detection, tracking, and counting meets drones in crowds: A benchmark
Reference 32
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Unavailable: canonical work link unavailable.
Observation 71d67f1c-198c-4d71-878b-2c08395f8ca6 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Learning spatial similarity distribution for few- shot object counting
Reference 33
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Observation e5583150-1d1e-433d-965e-1013d5096a9a · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Prototype mixture models for few-shot semantic segmentation
Reference 34
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Observation 661f7a83-8378-4fbc-a6f3-cd915af5f69a · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Detclipv3: Towards versatile generative open- vocabulary object detection
Reference 35
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Observation 99676cc9-8ede-4c7e-904c-de1910ad52ab · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Few-shot object counting with similarity-aware feature enhancement
Reference 36
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Unavailable: canonical work link unavailable.
Observation 79710791-09e9-445d-a912-ca42acf450ce · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Ro- bust head-shoulder detection by pca-based multilevel hog- lbp detector for people counting
Reference 37
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Unavailable: canonical work link unavailable.
Observation fcbcfe44-4d7a-46cf-b87a-5d786ccd9bb7 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Daot: Domain-agnostically aligned optimal transport for domain-adaptive crowd counting
Reference 41
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Unavailable: canonical work link unavailable.
Observation 3b0622f4-eb59-4aec-a1b8-b475d4fdee2f · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Learning to generalize: Meta- learning for domain generalization
Reference 2008
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Unavailable: canonical work link unavailable.
Observation ea105312-e605-4d77-b01c-155649808d47 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Cross-scene crowd counting via deep convolutional neural networks
Reference 2010
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Unavailable: canonical work link unavailable.
Observation e928a5c4-b081-4dc6-ab33-f87dc304cc50 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Multi-task semi-supervised crowd counting via global to local self-correction.Pattern Recognition, 140:109506,
Reference 2014
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Unavailable: canonical work link unavailable.
Observation cb24163b-1ad8-4e84-90c8-bdecb6333cfc · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Single-image crowd counting via multi-column convolutional neural network
Reference 2015
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Unavailable: canonical work link unavailable.
Observation fcfd715a-cad5-4b5a-9ad9-8c7a030fe701 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Canet: Class-agnostic seg- mentation networks with iterative refinement and atten- tive few-shot learning
Reference 2016
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Unavailable: canonical work link unavailable.
Observation f3ea840a-57ba-4fc8-aba4-4096225aee9e · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Few- shot scene adaptive crowd counting using meta-learning
Reference 2017
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Unavailable: canonical work link unavailable.
Observation 025068b9-17ba-4b45-bcfe-3726751935a2 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Ten years of pedes- trian detection, what have we learned? InEuropean Conference on Computer Vision, pages 613–627
Reference 2018
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Unavailable: canonical work link unavailable.
Observation cef6dd19-81cf-4d54-aa8c-e62fceb9ac74 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Dynamic prototype convolution network for few-shot semantic seg- mentation
Reference 2019
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Observation c3ed6238-aa1b-422f-b98a-9153f19e05d8 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation A survey of deep learning methods for density estimation and crowd counting.Vici- nagearth, 2(1):1–37,
Reference 2020
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Observation 75920329-2087-49d7-9fc3-be4567aafa8c · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Few-shot semantic segmentation with prototype learning
Reference 2021
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Observation 3db29d3b-9924-42c7-9f49-781d2d0df24c · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Background noise filtering and distribution dividing for crowd counting.IEEE Transactions on Image Processing, 29:8199–8212,
Reference 2022
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Observation 34d49cfb-cba7-416e-b9c9-67e0a045fb7f · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation One- shot any-scene crowd counting with local-to-global guid- ance.IEEE Transactions on Image Processing, 33:6622– 6632,
Reference 2023
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Observation 5399479d-6494-4aff-b05f-0f70008ead57 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Crowd counting with crowd attention convolutional neural network.Neurocomputing, 382:210–220,
Reference 2024
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Observation 5233150e-96fb-4ce7-8424-75aaaba1fbd2 · outbound
One-Shot Crowd Counting With Density Guidance For Scene Adaptation Robustnet: Improving domain generalization in urban- scene segmentation via instance selective whitening
Reference 2025
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No inbound Pith citation observations are available.