I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames | Paper Citation Record

Observation 2f7f446a-58e9-4549-bfff-394ccece9601 · outbound

This paper cites ClusterFuG: Clustering fully connected graphs by multicut.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames ClusterFuG: Clustering fully connected graphs by multicut

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.412254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80fddd74-772f-46df-bf85-0c6c1be4196d · outbound

This paper cites Graphs and graph algorithms in c++.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Graphs and graph algorithms in c++

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.404157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6457b16c-317c-4fd9-a87d-57849a5d8f57 · outbound

This paper cites Probabilistic image segmen- tation with closedness constraints.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Probabilistic image segmen- tation with closedness constraints

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.395972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86bc80e3-9827-4ab0-9c17-02905b866265 · outbound

This paper cites Using Multimodal Foundation Models and Clustering for Improved Style Ambiguity Loss.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Using Multimodal Foundation Models and Clustering for Improved Style Ambiguity Loss

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-12T04:34:15.993482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da0e10df-abf3-4295-a97f-bca3ac50426b · outbound

This paper cites Bearing witness? polar bears as icons for climate change communication in national geographic.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Bearing witness? polar bears as icons for climate change communication in national geographic

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.387586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2126b335-8d75-42d6-ac6c-4c4477fc1450 · outbound

This paper cites Variation of information (vi).

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Variation of information (vi)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.379265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67e5b819-6e4b-479c-9739-e764a5d53fa6 · outbound

This paper cites Images that matter: Online protests and the mobilizing role of pictures.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Images that matter: Online protests and the mobilizing role of pictures

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.371250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e511965-29c3-49c4-81a8-6b7a818f0826 · outbound

This paper cites The partition problem.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames The partition problem

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.362908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a970b4a-2d81-44bd-a4eb-1a2ec3d32109 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.354621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e9f162c0-aeee-4507-9416-81da0ae62875 · outbound

This paper cites Spectral graph reduction for efficient image and streaming video segmentation.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Spectral graph reduction for efficient image and streaming video segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.345876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4394f2b6-9e4d-495f-b2f0-9487f02dbbd1 · outbound

This paper cites Frame analysis: An essay on the organiza- tion of experience.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Frame analysis: An essay on the organiza- tion of experience

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.336584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5144acdf-21d0-47da-a2db-560b36ad2576 · outbound

This paper cites The greta effect: Visual- ising climate protest in uk media and the getty images col- lections.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames The greta effect: Visual- ising climate protest in uk media and the getty images col- lections

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.328358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fabdf5e9-0924-4873-a0f0-95433720810c · outbound

This paper cites Deep residual learning for image recognition.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Deep residual learning for image recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.319723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b009abc-2546-4a8a-8a34-695db8b74a5b · outbound

This paper cites Msm: Multi-stage multicuts for scalable im- age clustering.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Msm: Multi-stage multicuts for scalable im- age clustering

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.311546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f6f11306-f4da-4c3b-bcc1-04142ee151df · outbound

This paper cites Estimating the robust- ness of classification models by the structure of the learned feature-space.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Estimating the robust- ness of classification models by the structure of the learned feature-space

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.303112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 708e78b7-e4c4-4336-94d5-351774288633 · outbound

This paper cites A two-stage minimum cost multicut approach to self-supervised multiple person track- ing.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames A two-stage minimum cost multicut approach to self-supervised multiple person track- ing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.294833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e0432d32-a079-4e92-aad9-780ed1a41437 · outbound

This paper cites Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T04:34:15.833756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f24dedc8-8691-4862-8515-297fa1428271 · outbound

This paper cites Learning embeddings for image clustering: An em- pirical study of triplet loss approaches.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Learning embeddings for image clustering: An em- pirical study of triplet loss approaches

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.286343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af1d5614-6a0d-492d-91cf-e32caf6019bb · outbound

This paper cites Imagenette: A smaller subset of 10 eas- ily classified classes from imagenet.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Imagenette: A smaller subset of 10 eas- ily classified classes from imagenet

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.278058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b3454f08-1952-4bc6-9ee5-f003fe32686c · outbound

This paper cites Imagewoof: a subset of 10 classes from im- agenet that aren’t so easy to classify.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Imagewoof: a subset of 10 classes from im- agenet that aren’t so easy to classify

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.269791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b862ac27-8908-4f39-b643-11c7eede6568 · outbound

This paper cites Learning to solve min- imum cost multicuts efficiently using edge-weighted graph convolutional neural networks.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Learning to solve min- imum cost multicuts efficiently using edge-weighted graph convolutional neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.261463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5ed96bc-3821-4ab2-86c6-2cb40776381a · outbound

This paper cites Optimizing edge detection for image seg- mentation with multicut penalties.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Optimizing edge detection for image seg- mentation with multicut penalties

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.252900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ab8feeb-3654-4e87-a003-f33cb1340020 · outbound

This paper cites Solving mini- mum cost lifted multicut problems by node agglomeration.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Solving mini- mum cost lifted multicut problems by node agglomeration

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.244869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99408c76-8e42-469f-bfa7-4dc39445aa49 · outbound

This paper cites Uncertainty in minimum cost multicuts for image and motion segmentation.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Uncertainty in minimum cost multicuts for image and motion segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.236307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a04fcf7-38da-4270-82c2-f1f22d95007d · outbound

This paper cites An efficient heuristic pro- cedure for partitioning graphs.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames An efficient heuristic pro- cedure for partitioning graphs

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.227809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 785ea00f-d28a-4ee3-9a28-e1ff051580fd · outbound

This paper cites Higher-order minimum cost lifted multi- cuts for motion segmentation.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Higher-order minimum cost lifted multi- cuts for motion segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.219506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e37d351-ca71-4e4f-b7bf-ee92185ff604 · outbound

This paper cites Motion trajectory segmentation via minimum cost multicuts.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Motion trajectory segmentation via minimum cost multicuts

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.210841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b14a674-7836-4655-88ab-888529109f71 · outbound

This paper cites Efficient decomposition of image and mesh graphs by lifted multi- cuts.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Efficient decomposition of image and mesh graphs by lifted multi- cuts

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.202504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a6d4733-55b5-4883-8860-b27d8b765ccb · outbound

This paper cites Motion segmentation and multiple ob- ject tracking by correlation co-clustering.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Motion segmentation and multiple ob- ject tracking by correlation co-clustering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.194179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64cc1bd7-21db-4c20-96a1-070731dfb672 · outbound

This paper cites Higher-order multicuts for geometric mmdel fitting and motion segmentation.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Higher-order multicuts for geometric mmdel fitting and motion segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.185648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation daa66149-f4e5-460e-baef-72c1688ef6df · outbound

This paper cites Mind the gap: Understanding 9 the modality gap in multi-modal contrastive representation learning.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Mind the gap: Understanding 9 the modality gap in multi-modal contrastive representation learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.177383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d527acd-3b3a-40cd-8e7d-58386c473162 · outbound

This paper cites Fire as an aesthetic re- source in climate change communication: Exploring the vi- sual discourse of the california wildfires on twitter/x.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Fire as an aesthetic re- source in climate change communication: Exploring the vi- sual discourse of the california wildfires on twitter/x

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.168892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 027dc1d1-aca5-4592-9075-d4fc05102af6 · outbound

This paper cites McInnes, J.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames McInnes, J

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.159612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a23358b3-65bc-42a4-80f5-66c085d4bc04 · outbound

This paper cites Umap: Uniform manifold approximation and projection.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Umap: Uniform manifold approximation and projection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.151421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9abe1068-3121-4d88-9488-0073f75a5681 · outbound

This paper cites Comparing clusterings by the variation of information.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Comparing clusterings by the variation of information

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.142589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50e7f321-7911-4462-8487-49febdfd5c3c · outbound

This paper cites (social) media logics and visualizing climate change: 10 years of# climatechange images on twitter.Social Media+ Society, 9(1), 2023.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames (social) media logics and visualizing climate change: 10 years of# climatechange images on twitter.Social Media+ Society, 9(1), 2023

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.133380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05860934-d5bc-4153-a62a-50283880ab8d · outbound

This paper cites Lmgp: Lifted multicut meets geometry projections for multi-camera multi-object tracking.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Lmgp: Lifted multicut meets geometry projections for multi-camera multi-object tracking

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.125194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 14f6460e-07b5-42e3-b504-b5dd9bf168d6 · outbound

This paper cites Visual portrayals of fun in the sun in european news outlets misrepresent heatwave risks.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Visual portrayals of fun in the sun in european news outlets misrepresent heatwave risks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.116971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1157ce3a-3446-4e12-b019-88df8b4f5478 · outbound

This paper cites an unresolved cited work.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:34:16.108699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 189e31c1-a8cf-4f74-af5f-b03be9bd1986 · outbound

This paper cites More than meets the eye: A longitudinal analysis of climate change imagery in the print media.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames More than meets the eye: A longitudinal analysis of climate change imagery in the print media

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.099863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9446db12-ce2a-4e10-8b0d-6e0c96209abe · outbound

This paper cites Towards understanding climate change perceptions: A social media dataset.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Towards understanding climate change perceptions: A social media dataset

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.090932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77d99870-0f99-41d6-ba00-858ddd257e5d · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Learn- ing transferable visual models from natural language super- vision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.082368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d37140a0-330a-471e-9021-a3eae3ccdf30 · outbound

This paper cites Im- age themes and frames in us print news stories about climate change.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Im- age themes and frames in us print news stories about climate change

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.073311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f142ea33-e0d9-4b3d-842c-9c8cf09b9539 · outbound

This paper cites Sch ¨afer and Saffron O’Neill.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Sch ¨afer and Saffron O’Neill

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.064795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8e9b935-be57-4224-8308-4132dcac3ade · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Very deep convo- lutional networks for large-scale image recognition

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.056503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a79bd9f-ff95-41c8-a5d3-ed09afcb47b3 · outbound

This paper cites Multi-person tracking by multicut and deep match- ing.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Multi-person tracking by multicut and deep match- ing

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.048010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc004a16-1800-45b6-9088-2d8a0856686b · outbound

This paper cites Multiple people tracking by lifted multicut and per- son re-identification.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Multiple people tracking by lifted multicut and per- son re-identification

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.039017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95c6ddb5-9613-428b-beae-1428f6277d18 · outbound

This paper cites Just cluster it: An approach for exploration in high-dimensions using clustering and pre-trained representations.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Just cluster it: An approach for exploration in high-dimensions using clustering and pre-trained representations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.030190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dfd98880-36f3-4df6-9770-e6602ff15141 · outbound

This paper cites Public engagement with climate imagery in a changing digital landscape.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Public engagement with climate imagery in a changing digital landscape

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.021224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6a92ec7-19b7-4312-a05e-88c068b16420 · outbound

This paper cites Sponsored messaging about climate change on Facebook: Actors, content, frames.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Sponsored messaging about climate change on Facebook: Actors, content, frames

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T04:34:15.929716Z

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Observation 6722eb17-f645-4fd5-88f5-bd7307ba71b0 · outbound

This paper cites Con- vnext v2: Co-designing and scaling convnets with masked autoencoders.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Con- vnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.012310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0b19106-ad62-416e-97ce-2910bdb23e07 · outbound

This paper cites Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T04:34:15.935626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c26b6cb-ab1f-4189-a8c1-7272f509fa5c · outbound

This paper cites Benchmarking omni-vision representation through the lens of visual realms.

I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames Benchmarking omni-vision representation through the lens of visual realms

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:34:16.003008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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