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Paper Citation Record · LEDGER

Few-Shot Pattern Detection via Template Matching and Regression

As of 19 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2508.17636.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.17636 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:05:58.112196Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

74 of 74 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d77143f4-39a2-4303-9cbd-a2fc472c374d · outbound

This paper cites The first annotated set of scanning electron microscopy images for nanoscience.

Few-Shot Pattern Detection via Template Matching and Regression The first annotated set of scanning electron microscopy images for nanoscience

Reference 1

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Observation 224190a3-2069-40fe-b4a8-304600f15440 · outbound

This paper cites Translation symmetry de- tection: A repetitive pattern analysis approach.

Few-Shot Pattern Detection via Template Matching and Regression Translation symmetry de- tection: A repetitive pattern analysis approach

Reference 2

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Observation f0ff3d23-d520-42d5-b36b-0e923ac71590 · outbound

This paper cites A flexible and robust approach for segmenting cell nu- clei from 2d microscopy images using supervised learning and template matching.

Few-Shot Pattern Detection via Template Matching and Regression A flexible and robust approach for segmenting cell nu- clei from 2d microscopy images using supervised learning and template matching

Reference 3

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Observation b3e601e2-18bf-4b5a-a225-87a0f40b5ae8 · outbound

This paper cites Steerable CNNs.

Few-Shot Pattern Detection via Template Matching and Regression Steerable CNNs

Reference 4

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Observation bb838f64-3da5-4431-9f15-eed8f06b5800 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Few-Shot Pattern Detection via Template Matching and Regression An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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Source-reported events for the cited work

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Observation a700d3bf-642a-44f3-8e60-9b1376e822a2 · outbound

This paper cites The pascal visual object classes (voc) challenge.

Few-Shot Pattern Detection via Template Matching and Regression The pascal visual object classes (voc) challenge

Reference 6

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Source-reported events for the cited work

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Observation 67f087bd-ad8c-4340-9044-b5f3f6678855 · outbound

This paper cites Few- shot object detection with attention-rpn and multi-relation detector.

Few-Shot Pattern Detection via Template Matching and Regression Few- shot object detection with attention-rpn and multi-relation detector

Reference 7

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Observation ed14a225-5f05-4fc9-a76f-15d4cd38e404 · outbound

This paper cites Gen- eralized few-shot object detection without forgetting.

Few-Shot Pattern Detection via Template Matching and Regression Gen- eralized few-shot object detection without forgetting

Reference 8

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Source-reported events for the cited work

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Observation dd9d8bbb-fe71-4f4c-a95a-dcc013710843 · outbound

This paper cites 2017 iccv challenge: Detecting symmetry in the wild.

Few-Shot Pattern Detection via Template Matching and Regression 2017 iccv challenge: Detecting symmetry in the wild

Reference 9

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Observation 91ffaa74-c9b3-4d61-9d54-1f24a0c86987 · outbound

This paper cites The chemistry and applications of metal- organic frameworks.

Few-Shot Pattern Detection via Template Matching and Regression The chemistry and applications of metal- organic frameworks

Reference 10

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Source-reported events for the cited work

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Observation 4a47f891-1cc7-4ffe-9152-259c251f1d77 · outbound

This paper cites Unsuper- vised learning of high-order structural semantics from im- ages.

Few-Shot Pattern Detection via Template Matching and Regression Unsuper- vised learning of high-order structural semantics from im- ages

Reference 11

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Observation 0c5ba9e5-0306-4545-9265-2bed69014b01 · outbound

This paper cites Fast r-cnn.

Few-Shot Pattern Detection via Template Matching and Regression Fast r-cnn

Reference 12

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Observation 64e5d0d9-21bb-449d-a20d-40d264bdcc2a · outbound

This paper cites Flow cytometry: an introduction.

Few-Shot Pattern Detection via Template Matching and Regression Flow cytometry: an introduction

Reference 13

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Observation f414f159-86fd-441e-ab32-a21b4802dd8d · outbound

This paper cites Courier Dover Publications, 1987.

Few-Shot Pattern Detection via Template Matching and Regression Courier Dover Publications, 1987

Reference 14

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Source-reported events for the cited work

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Observation 9da6e22d-bf27-48a6-b0b3-75ec3ee30257 · outbound

This paper cites Niff: Alleviating forgetting in generalized few-shot object detection via neu- ral instance feature forging.

Few-Shot Pattern Detection via Template Matching and Regression Niff: Alleviating forgetting in generalized few-shot object detection via neu- ral instance feature forging

Reference 15

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Source-reported events for the cited work

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Observation bc825b3e-4984-4dc4-b3bf-02a04dd07100 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

Few-Shot Pattern Detection via Template Matching and Regression Lvis: A dataset for large vocabulary instance segmentation

Reference 16

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Source-reported events for the cited work

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Observation 1f781a59-d142-48be-8265-77e563f497b7 · outbound

This paper cites Query adaptive few-shot object detec- tion with heterogeneous graph convolutional networks.

Few-Shot Pattern Detection via Template Matching and Regression Query adaptive few-shot object detec- tion with heterogeneous graph convolutional networks

Reference 17

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Observation f3801c1c-89a9-4c05-bee9-737bd9f2c7e1 · outbound

This paper cites Meta faster r-cnn: Towards accurate few-shot object detection with attentive feature alignment.

Few-Shot Pattern Detection via Template Matching and Regression Meta faster r-cnn: Towards accurate few-shot object detection with attentive feature alignment

Reference 18

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Observation c9f0b836-5f37-41ac-a1ea-a8b764edede3 · outbound

This paper cites Few-shot object detection with fully cross-transformer.

Few-Shot Pattern Detection via Template Matching and Regression Few-shot object detection with fully cross-transformer

Reference 19

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Source-reported events for the cited work

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Observation 3ff86c1a-032b-4035-93fb-7c2f106cd878 · outbound

This paper cites Reg- ular texture analysis as statistical model selection.

Few-Shot Pattern Detection via Template Matching and Regression Reg- ular texture analysis as statistical model selection

Reference 20

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Source-reported events for the cited work

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Observation 453300d1-19a2-4631-9e8e-38de498c3549 · outbound

This paper cites Discovering texture regularity as a higher-order cor- respondence problem.

Few-Shot Pattern Detection via Template Matching and Regression Discovering texture regularity as a higher-order cor- respondence problem

Reference 21

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Source-reported events for the cited work

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Observation 26ed9266-35a4-435e-8769-220a4bd89f19 · outbound

This paper cites Mask r-cnn.

Few-Shot Pattern Detection via Template Matching and Regression Mask r-cnn

Reference 22

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Source-reported events for the cited work

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Observation a4947c52-a3f4-4305-8dbe-fde89e64893f · outbound

This paper cites Point segment and count: A gen- eralized framework for object counting.

Few-Shot Pattern Detection via Template Matching and Regression Point segment and count: A gen- eralized framework for object counting

Reference 23

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Source-reported events for the cited work

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Observation b1f71e36-fc18-4910-8eef-dce0a75f3a69 · outbound

This paper cites Few-shot object detection via feature reweighting.

Few-Shot Pattern Detection via Template Matching and Regression Few-shot object detection via feature reweighting

Reference 24

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Source-reported events for the cited work

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Observation cfbeb494-f4b3-43d7-9ae4-c39ce3ba527b · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dol- lar, and Ross Girshick.

Few-Shot Pattern Detection via Template Matching and Regression Berg, Wan-Yen Lo, Piotr Dol- lar, and Ross Girshick

Reference 25

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Source-reported events for the cited work

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Observation abca0db5-da4b-4bc1-8fd5-1c7eae9b11ac · outbound

This paper cites Fast-match: Fast affine template matching.

Few-Shot Pattern Detection via Template Matching and Regression Fast-match: Fast affine template matching

Reference 26

Resolution
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Source-reported events for the cited work

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Observation 391a21e7-6640-4641-8c66-86396e4fe579 · outbound

This paper cites Diamidocarbene-derived palladium and nickel–sulfur clusters.

Few-Shot Pattern Detection via Template Matching and Regression Diamidocarbene-derived palladium and nickel–sulfur clusters

Reference 27

Resolution
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Source-reported events for the cited work

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Observation e393f93d-574d-412a-9cf0-1a173d3499ff · outbound

This paper cites Detecting, localizing and grouping repeated scene elements from an image.

Few-Shot Pattern Detection via Template Matching and Regression Detecting, localizing and grouping repeated scene elements from an image

Reference 28

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Source-reported events for the cited work

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Observation 4c61cd2b-0575-4325-9968-89e7ac3614bc · outbound

This paper cites Exploring plain vision transformer backbones for object de- tection, 2022.

Few-Shot Pattern Detection via Template Matching and Regression Exploring plain vision transformer backbones for object de- tection, 2022

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3aedde0d-a09a-4fd9-bdca-b87352feac4e · outbound

This paper cites Object Counting: You Only Need to Look at One.

Few-Shot Pattern Detection via Template Matching and Regression Object Counting: You Only Need to Look at One

Reference 30

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Source-reported events for the cited work

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Observation 251521f6-4c4e-4e3c-8c22-d52857e84355 · outbound

This paper cites Ex- tracting periodicity of a regular texture based on autocorre- lation functions.

Few-Shot Pattern Detection via Template Matching and Regression Ex- tracting periodicity of a regular texture based on autocorre- lation functions

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c2f0ab41-4e61-4d31-a65d-26f7a043e409 · outbound

This paper cites Microsoft coco: Common objects in context.

Few-Shot Pattern Detection via Template Matching and Regression Microsoft coco: Common objects in context

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 33346d96-02f1-4412-bcb5-1917ca8ec9fa · outbound

This paper cites Feature pyramid networks for object detection.

Few-Shot Pattern Detection via Template Matching and Regression Feature pyramid networks for object detection

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 507edf07-302b-4c5f-9c6f-ead17ebcb8d1 · outbound

This paper cites Tracking dynamic near- regular texture under occlusion and rapid movements.

Few-Shot Pattern Detection via Template Matching and Regression Tracking dynamic near- regular texture under occlusion and rapid movements

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 85d4cae1-98ae-4f41-8574-8ce4b3a8373b · outbound

This paper cites Grasp recurring patterns from a single view.

Few-Shot Pattern Detection via Template Matching and Regression Grasp recurring patterns from a single view

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.587983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:57.970664Z digest=sha256:8a9a31b9a925cb48b596a9213d0769d8ecb14fd7871f31c2fb6a0df050635ee5

Observation 4b61ca56-e2df-41c0-bfcf-ba7630803502 · outbound

This paper cites Symmetry detection from realworld images compe- tition 2013: Summary and results.

Few-Shot Pattern Detection via Template Matching and Regression Symmetry detection from realworld images compe- tition 2013: Summary and results

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.577579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:57.973929Z digest=sha256:482e575730765bf530bf30cf934ddded73638f4474e178f167120d7444178a88

Observation 687fc409-f4ae-43de-86aa-659da0aac61c · outbound

This paper cites Patchmatch-based auto- matic lattice detection for near-regular textures.

Few-Shot Pattern Detection via Template Matching and Regression Patchmatch-based auto- matic lattice detection for near-regular textures

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.566384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:57.977514Z digest=sha256:004bd34f5ab3bbfae65a0474cbb02c6587faa61145428d9215e5ad713cd8fbec

Observation f105bf63-0a45-42f9-b181-4b0edf2765e8 · outbound

This paper cites Near-regular texture analysis and manipulation.

Few-Shot Pattern Detection via Template Matching and Regression Near-regular texture analysis and manipulation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.555789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:57.980873Z digest=sha256:62d32ed0dc78ba5939d0b384db5f5cfb210acde75eacd7481c37e0d326af3396

Observation 73edd24e-b49b-45b5-90cc-c0d05926d3b0 · outbound

This paper cites Decoupled weight decay regularization, 2019.

Few-Shot Pattern Detection via Template Matching and Regression Decoupled weight decay regularization, 2019

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T17:05:57.984292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:05:57.984292Z digest=sha256:627ea6b5c54c52bb1536a6013f20d8e81058843dda2979ea1775c77ba0a37263

Observation 0f6f1785-00ab-485a-b307-42337f6a7d59 · outbound

This paper cites Class- agnostic counting.

Few-Shot Pattern Detection via Template Matching and Regression Class- agnostic counting

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.539438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:57.987893Z digest=sha256:c0d95b4ca3f27e0bd67c9fef12b73af2fdce47eeba5a90d676aaabb457af8fa8

Observation fbcf08d5-ad04-4a1b-8105-ca70ee5b1754 · outbound

This paper cites Locating macromolecular assemblies in cells by 2d template matching with cistem.

Few-Shot Pattern Detection via Template Matching and Regression Locating macromolecular assemblies in cells by 2d template matching with cistem

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.529567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:57.991293Z digest=sha256:448d1b9dfc0f6e66aa28426b3c9c4e05ef984bdb9db2dc846902a1d55cb289c8

Observation cad2305c-0e2f-44a9-9196-32293551a045 · outbound

This paper cites Can sam count anything? an empirical study on sam counting,.

Few-Shot Pattern Detection via Template Matching and Regression Can sam count anything? an empirical study on sam counting,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.519439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:57.994465Z digest=sha256:2d88a7680945e08e1d039d56d0f7aa9ed26da80046044f1c7666e8908cde2e0b

Observation d1f7d53d-0b0b-4915-bc5c-509b958e652b · outbound

This paper cites Adding new tasks to a single net- work with weight transformations using binary masks.

Few-Shot Pattern Detection via Template Matching and Regression Adding new tasks to a single net- work with weight transformations using binary masks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.509599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:57.998240Z digest=sha256:ac638f4ba310fe08fff0eb90573c7a90943769f591e08d87c98e4c29374fa418

Observation 51964d4c-aea4-4d9f-b3cc-87ed54a7f70b · outbound

This paper cites Using symmetry for detecting and locating objects in a picture.

Few-Shot Pattern Detection via Template Matching and Regression Using symmetry for detecting and locating objects in a picture

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.499806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.002941Z digest=sha256:63d918dc1b22019a3824c0aaf38f520a4b2a1f8b3a242f38828a8376b407264d

Observation f318dba0-aa20-47e6-92b3-238ed94f3485 · outbound

This paper cites Robust wide-baseline stereo from maximally stable ex- tremal regions.

Few-Shot Pattern Detection via Template Matching and Regression Robust wide-baseline stereo from maximally stable ex- tremal regions

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.489918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.006978Z digest=sha256:f652a645419380311cfe98d1e107dc959abd6423e086ef1f1bddcf5fcb54734f

Observation 2ad88fd5-c1a1-44ea-8bba-e750de798b27 · outbound

This paper cites Example-based object detection in images by compo- nents.

Few-Shot Pattern Detection via Template Matching and Regression Example-based object detection in images by compo- nents

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.480474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.010525Z digest=sha256:de5e9e1e6744f2ed6524efb2e4e89cbba5066b5312616d1b2ef7724720f5f365

Observation a2ff20ac-2fd1-4eb5-85a5-25c48bba92bd · outbound

This paper cites Few-shot object counting and detection.

Few-Shot Pattern Detection via Template Matching and Regression Few-shot object counting and detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.470938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.013866Z digest=sha256:9200b36d849ca29cdd66bd4bb9ff24ddb97f44a42d86fc396f11151712a8855d

Observation fc6181a9-6b80-442e-b409-9405ebac9f7e · outbound

This paper cites Teaching clip to count to ten.

Few-Shot Pattern Detection via Template Matching and Regression Teaching clip to count to ten

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.461453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.017278Z digest=sha256:0d9474eabc0dccd70685bc04cd07d28c4f7ea0d9ad29bbab63df085d4a349d76

Observation 5ad69409-72ef-4190-baed-00c138233835 · outbound

This paper cites Deformed lattice detection in real-world images using mean-shift belief propagation.

Few-Shot Pattern Detection via Template Matching and Regression Deformed lattice detection in real-world images using mean-shift belief propagation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.451292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.021943Z digest=sha256:09b0754c07237179d802d3bbb8156ab5a052660118e549a4bb345697c1c4fb39

Observation 5925716e-3938-4936-8e9e-aa2d8d9fbd37 · outbound

This paper cites Discovering structural regularity in 3d geometry.

Few-Shot Pattern Detection via Template Matching and Regression Discovering structural regularity in 3d geometry

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.439451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.025147Z digest=sha256:e599594d859aa694ab062eabd606cad4d507973d956f2528bf76ffb0fb676886

Observation ffe293e5-d535-4406-8cb6-abb441ba7c5f · outbound

This paper cites Dave- a detect-and-verify paradigm for low-shot counting.

Few-Shot Pattern Detection via Template Matching and Regression Dave- a detect-and-verify paradigm for low-shot counting

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.428152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.029515Z digest=sha256:8eeb81884bf0167c3f233fb729abeb7c686104528f5c07641f7e18444b12572c

Observation 97efd5be-fa21-4120-b4be-67ccc82a75b9 · outbound

This paper cites A novel unified architecture for low-shot counting by detection and segmentation.

Few-Shot Pattern Detection via Template Matching and Regression A novel unified architecture for low-shot counting by detection and segmentation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.418368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.033011Z digest=sha256:6a49258315caf00b069e0899429202e518f5065c561b73cbc383635ec34eefe3

Observation 8e9b5fa6-29bc-402d-a1c7-d9ec40456508 · outbound

This paper cites Flow cytometry: retrospective, fun- damentals and recent instrumentation.

Few-Shot Pattern Detection via Template Matching and Regression Flow cytometry: retrospective, fun- damentals and recent instrumentation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.408313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.036484Z digest=sha256:e0d55cb7afadaa7ba74102114cb5b27fd5a4e8ccb1bbd4571792fc36b69726b9

Observation 4883b5ca-719e-477c-bc9b-57ea974b5f15 · outbound

This paper cites E2cnn: An efficient concatenated cnn for classification of surface emg extracted from upper limb.

Few-Shot Pattern Detection via Template Matching and Regression E2cnn: An efficient concatenated cnn for classification of surface emg extracted from upper limb

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.398335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.040244Z digest=sha256:a477d7ffa18110346b6133bb285875cc1523964fb888b8595ba1528d859d0636

Observation a319cb34-9be5-4697-8f4c-6b57591e7631 · outbound

This paper cites Vicinal counting networks.

Few-Shot Pattern Detection via Template Matching and Regression Vicinal counting networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.388302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.044395Z digest=sha256:ea082a5626fead434cc0e12cd3ec7967bd86790917ef820702c32d5d5c2b7693

Observation 52c59f0e-f6cc-4896-b634-5767cf02c1db · outbound

This paper cites Learning to count everything.

Few-Shot Pattern Detection via Template Matching and Regression Learning to count everything

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.377151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.047754Z digest=sha256:44157900075976c07fce6beaf83779699f92458d52955b63aa989bb8be8c4932

Observation cbcfcd37-8548-4614-94b9-83232b7bce86 · outbound

This paper cites You only look once: Unified, real-time object de- tection.

Few-Shot Pattern Detection via Template Matching and Regression You only look once: Unified, real-time object de- tection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.366811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.051164Z digest=sha256:2c061c64b48b221f80b4a1326d136389e307d5dc2a3a287205cb0aedee38d2f0

Observation e4e8092c-3a79-4b60-9ba8-337a1b0e1c1c · outbound

This paper cites Generalized in- tersection over union: A metric and a loss for bounding box regression.

Few-Shot Pattern Detection via Template Matching and Regression Generalized in- tersection over union: A metric and a loss for bounding box regression

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.354262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.055235Z digest=sha256:c725f55ba9862cacddedd602bd12c0254c04336f21c45092a4001cafd3697055

Observation a5ae94f3-913d-4c18-b666-bf7494878f2b · outbound

This paper cites Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature.

Few-Shot Pattern Detection via Template Matching and Regression Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T17:05:58.058449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:05:58.058449Z digest=sha256:1e0d9ad0c307a5cf3806c5490b2e85286e0cede5c207233d5907ee387daafcb9

Observation 43b60267-c500-45a5-944b-fca2e3efff71 · outbound

This paper cites Prototyp- ical networks for few-shot learning.

Few-Shot Pattern Detection via Template Matching and Regression Prototyp- ical networks for few-shot learning

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.343666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.062874Z digest=sha256:d124eedd0bec10ca02afe57904193816fa526dd11498f28783e4a8dbd476dfae

Observation a479ce8a-51d1-4eea-ac4a-c0d095c3cbd3 · outbound

This paper cites Exploiting repetitive object patterns for model compression and completion.

Few-Shot Pattern Detection via Template Matching and Regression Exploiting repetitive object patterns for model compression and completion

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.332881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.066386Z digest=sha256:3e598597882cfb6283818371701c7ea50c99e51b52471ee82b038faaf39cbc00

Observation 06442be2-0f64-4aaf-8b7f-b55a13e72237 · outbound

This paper cites an unresolved cited work.

Few-Shot Pattern Detection via Template Matching and Regression Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:05:58.322260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.069547Z digest=sha256:22edca218cde43081acd37869cedad33155cc61482bb2905b8b750c321f82cbc

Observation 3afff6e2-eab6-46e4-b81e-61d63c74cc94 · outbound

This paper cites Fsce: Few-shot object detection via contrastive pro- posal encoding.

Few-Shot Pattern Detection via Template Matching and Regression Fsce: Few-shot object detection via contrastive pro- posal encoding

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.311107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.072743Z digest=sha256:4ada6d4cdb68cc928cea1def2cbe31a6044869e32fca9a04aeb0ac3d8b40975e

Observation ecd9e4d5-8ebe-476e-a506-c51d2da6ee86 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

Few-Shot Pattern Detection via Template Matching and Regression Fcos: Fully convolutional one-stage object detection

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.300068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.075813Z digest=sha256:bceca3d23921a616a2b7f3516074cb3691a96ff3831b919dbbcd2597dcb64ff9

Observation 0e5f7858-c2e5-4d9c-bb6f-ce0fb0b713ba · outbound

This paper cites Rotation-invariant pattern matching using wavelet decomposition.

Few-Shot Pattern Detection via Template Matching and Regression Rotation-invariant pattern matching using wavelet decomposition

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.289822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.079098Z digest=sha256:811e3fe2be5f9fd70b1868f2c4867b5cf59f216522bd2664cd80e1b92c7eb169

Observation 12f3c404-1ccf-4ff8-95f6-3fac614d7752 · outbound

This paper cites Ef- ficient grouping under perspective skew.

Few-Shot Pattern Detection via Template Matching and Regression Ef- ficient grouping under perspective skew

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.279598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.082165Z digest=sha256:1f7d691fa9d1d6e009d6c5e1cf521fda2996ca4f24640b725fcb514386cd5563

Observation a8480505-53ed-4c38-b3d4-f2eeb8f41222 · outbound

This paper cites Frustratingly simple few-shot object detec- tion.

Few-Shot Pattern Detection via Template Matching and Regression Frustratingly simple few-shot object detec- tion

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.268218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.085537Z digest=sha256:bf582ea69c1a0ae92083b03e293bce2fc5dc9e1c094c95605a83046e1307c1f0

Observation 35784d7b-5758-4a25-bc83-4d2c5c74dd97 · outbound

This paper cites Few-shot object detection and viewpoint estimation for objects in the wild.

Few-Shot Pattern Detection via Template Matching and Regression Few-shot object detection and viewpoint estimation for objects in the wild

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.257805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.088848Z digest=sha256:dab17f14a945c89bfe24f4f96d9a1eed7bd7e573ca9532d715cc80be4cc3bfcd

Observation b69e1bf7-e6d3-423a-9228-5fe1b8c6df55 · outbound

This paper cites Meta r-cnn: Towards general solver for instance-level low-shot learning.

Few-Shot Pattern Detection via Template Matching and Regression Meta r-cnn: Towards general solver for instance-level low-shot learning

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.247326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.092617Z digest=sha256:3f1300790ecb7e730f8b61e581d6b6f905c8166aea35fe75607b62b745d61a35

Observation a504ce17-7df6-47b2-b721-f281b3901488 · outbound

This paper cites Few-shot Object Counting with Similarity-Aware Feature Enhancement.

Few-Shot Pattern Detection via Template Matching and Regression Few-shot Object Counting with Similarity-Aware Feature Enhancement

Reference 70

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T17:05:58.161204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:05:58.096234Z digest=sha256:0f4a33a64e35fa7458b65e51d166375afd00a8a8b1a6000f5e8597822b55b250

Observation 98e64700-f5f9-47a0-a629-e53d05ba3004 · outbound

This paper cites Detect Everything with Few Examples.

Few-Shot Pattern Detection via Template Matching and Regression Detect Everything with Few Examples

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T17:05:58.100525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:05:58.100525Z digest=sha256:b1eb2c12c155628976fa331822ea9b15de0a3e77b990b6c517903aefabf61df4

Observation be3ad32a-6ea7-44da-bd7d-557e73055d4a · outbound

This paper cites Detailed model architecture We provide the details of the model architecture in Tab.

Few-Shot Pattern Detection via Template Matching and Regression Detailed model architecture We provide the details of the model architecture in Tab

Reference 72

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 88ca4f06-b626-4c1f-bcfa-39bbcde4efd0 · outbound

This paper cites an unresolved cited work.

Few-Shot Pattern Detection via Template Matching and Regression Unresolved cited work

Reference 73

Resolution
malformed identifier
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3df357be-2d89-41ae-96fc-11b1f9366e4e · outbound

This paper cites Although TMR effectively handles scale variations, achieving rotation invariance remains a challenging problem, as observed in prior approaches as well [23, 52].

Few-Shot Pattern Detection via Template Matching and Regression Although TMR effectively handles scale variations, achieving rotation invariance remains a challenging problem, as observed in prior approaches as well [23, 52]

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:05:58.213621Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.