Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning | Paper Citation Record

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This paper cites Barron, Fer- ran Marques, and Jitendra Malik.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Barron, Fer- ran Marques, and Jitendra Malik

Reference 1

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This paper cites Contour detection and hierarchical image seg- mentation.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Contour detection and hierarchical image seg- mentation

Reference 2

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This paper cites CuVLER: Enhanced Unsupervised Object Discov- eries through Exhaustive Self-Supervised Transformers.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning CuVLER: Enhanced Unsupervised Object Discov- eries through Exhaustive Self-Supervised Transformers

Reference 3

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This paper cites Spectral clustering with graph neural networks for graph pooling.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Spectral clustering with graph neural networks for graph pooling

Reference 4

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Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Unresolved cited work

Reference 5

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This paper cites MONet: Unsupervised Scene Decomposition and Representation.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning MONet: Unsupervised Scene Decomposition and Representation

Reference 6

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This paper cites HASSOD: Hierarchical adaptive self-supervised ob- ject detection.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning HASSOD: Hierarchical adaptive self-supervised ob- ject detection

Reference 7

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This paper cites SOHES: Self-supervised open- world hierarchical entity segmentation.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning SOHES: Self-supervised open- world hierarchical entity segmentation

Reference 8

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This paper cites Emerg- ing properties in self-supervised vision transformers.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Emerg- ing properties in self-supervised vision transformers

Reference 9

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This paper cites Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior

Reference 10

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This paper cites Object representations as fixed points: Training iterative refinement algorithms with implicit differentiation.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Object representations as fixed points: Training iterative refinement algorithms with implicit differentiation

Reference 11

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This paper cites Spatially invariant unsuper- vised object detection with convolutional neural networks.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Spatially invariant unsuper- vised object detection with convolutional neural networks

Reference 12

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Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Unresolved cited work

Reference 13

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This paper cites Perceptual group to- kenizer: Building perception with iterative grouping.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Perceptual group to- kenizer: Building perception with iterative grouping

Reference 14

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This paper cites Dittadi, S.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Dittadi, S

Reference 15

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

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 16

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This paper cites GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

Reference 17

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This paper cites Genesis-v2: Inferring unordered object representations with- out iterative refinement.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Genesis-v2: Inferring unordered object representations with- out iterative refinement

Reference 18

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This paper cites Everitt, S.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Everitt, S

Reference 19

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This paper cites Adap- tive slot attention: Object discovery with dynamic slot num- ber, 2024.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Adap- tive slot attention: Object discovery with dynamic slot num- ber, 2024

Reference 20

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This paper cites Gonzalez and Richard E.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Gonzalez and Richard E

Reference 21

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This paper cites On the Binding Problem in Artificial Neural Networks.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning On the Binding Problem in Artificial Neural Networks

Reference 22

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This paper cites Fuchs, Ingmar Posner, and Andrea Vedaldi.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Fuchs, Ingmar Posner, and Andrea Vedaldi

Reference 23

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This paper cites Vision GNN: An image is worth graph of nodes.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Vision GNN: An image is worth graph of nodes

Reference 24

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This paper cites Hastie, R.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Hastie, R

Reference 25

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This paper cites Comparing partitions.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Comparing partitions

Reference 26

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This paper cites Jain and Richard C.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Jain and Richard C

Reference 27

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This paper cites Improving object- centric learning with query optimization.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Improving object- centric learning with query optimization

Reference 28

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This paper cites Scalor: Generative world models with scal- able object representations.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Scalor: Generative world models with scal- able object representations

Reference 29

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This paper cites Lawrence Zitnick, and Ross Girshick.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Lawrence Zitnick, and Ross Girshick

Reference 30

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This paper cites Multi-object datasets.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Multi-object datasets

Reference 31

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This paper cites The Background Also Matters: Background- Aware Motion-Guided Objects Discovery.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning The Background Also Matters: Background- Aware Motion-Guided Objects Discovery

Reference 32

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This paper cites Kaufman and P.J.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Kaufman and P.J

Reference 33

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Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Unresolved cited work

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Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Unresolved cited work

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This paper cites Shepherding slots to objects: Towards stable and ro- bust object-centric learning.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Shepherding slots to objects: Towards stable and ro- bust object-centric learning

Reference 36

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This paper cites Space: Unsupervised object-oriented scene representa- tion via spatial attention and decomposition.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Space: Unsupervised object-oriented scene representa- tion via spatial attention and decomposition

Reference 37

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This paper cites Object- centric learning with slot attention.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Object- centric learning with slot attention

Reference 38

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This paper cites Massam and Michael F.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Massam and Michael F

Reference 39

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This paper cites An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Reference 40

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This paper cites Delving into the whorl of flower segmentation.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Delving into the whorl of flower segmentation

Reference 41

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This paper cites Comprehensive survey on hierarchical clus- tering algorithms and the recent developments.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Comprehensive survey on hierarchical clus- tering algorithms and the recent developments

Reference 42

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This paper cites Bridging the gap to real-world object-centric learning.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Bridging the gap to real-world object-centric learning

Reference 43

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This paper cites Normalized cuts and image segmentation.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Normalized cuts and image segmentation

Reference 44

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This paper cites Illiterate DALL- e learns to compose.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Illiterate DALL- e learns to compose

Reference 45

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This paper cites Graph clustering with graph neural net- works.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Graph clustering with graph neural net- works

Reference 46

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This paper cites Selective search for object recognition.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Selective search for object recognition

Reference 47

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This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N

Reference 48

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This paper cites Yu, and Ishan Misra.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Yu, and Ishan Misra

Reference 49

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This paper cites Seg- ment anything without supervision.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Seg- ment anything without supervision

Reference 50

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This paper cites Crowley, and Dominique Vaufrey- daz.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Crowley, and Dominique Vaufrey- daz

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:26.970691Z

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Observation 759e7409-754b-4684-b6c1-01dc1cbe7225 · outbound

This paper cites Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T01:08:24.794789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1711f6c3-211b-445b-ad0f-f7b16b3ecd32 · outbound

This paper cites Belongie, and Pietro Perona.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Belongie, and Pietro Perona

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:26.845186Z

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.

Observation f4109ad2-e2b1-482d-9bcc-bfc11c93cbba · outbound

This paper cites Wentz Wenwen Li, Tingyong Chen and Chao Fan.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Wentz Wenwen Li, Tingyong Chen and Chao Fan

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:26.591810Z

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.

Observation a445fb3a-5a83-4cb3-b146-d79d3e45784d · outbound

This paper cites Goodchild Wenwen Li and Richard Church.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Goodchild Wenwen Li and Richard Church

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:26.578243Z

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.

Observation 4169d8bd-1b27-4f42-9572-ffd17647a44e · outbound

This paper cites Group normalization.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Group normalization

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:26.368088Z

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.

Observation 01c6f2d6-beab-410c-9cc8-82ed65d075c4 · outbound

This paper cites an unresolved cited work.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-16T01:08:26.284297Z

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.

Observation 5a1ed4c6-989b-4ff8-a0f4-0381e2edf4d2 · outbound

This paper cites Benchmarking and analysis of unsupervised object segmentation from Real-World single images.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Benchmarking and analysis of unsupervised object segmentation from Real-World single images

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:26.112724Z

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.

Observation 993f8caa-3026-4a00-93ef-83f3567e58b5 · outbound

This paper cites Zhang, Simon Lacoste-Julien, Gert- jan J.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Zhang, Simon Lacoste-Julien, Gert- jan J

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:25.829879Z

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.

Observation 134b7298-b983-4872-83a2-871e7146b808 · outbound

This paper cites Sensitivity of Slot-Based Object-Centric Models to their Number of Slots.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Sensitivity of Slot-Based Object-Centric Models to their Number of Slots

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T01:08:24.857448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de82e61-f01e-486b-a13a-321478a9e529 · outbound

This paper cites At each layer, this feature image is partitioned intoU×U non-overlapping windows.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning At each layer, this feature image is partitioned intoU×U non-overlapping windows

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:25.813862Z

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.

Observation f24a327d-08cb-4799-9c35-e39859d6cd8a · outbound

This paper cites all-to-all.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning all-to-all

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:25.793312Z

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.

Observation f5fd553f-2ec3-4afd-a6f1-abf385682e99 · outbound

This paper cites pad and random crop.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning pad and random crop

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:25.671947Z

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.

Observation f939f9e9-5e7d-41b6-9136-9b778d2bd257 · outbound

This paper cites an unresolved cited work.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-16T01:08:25.502030Z

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.

Observation 773f33fd-1f69-4945-b521-beb9415d0e03 · outbound

This paper cites an unresolved cited work.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Unresolved cited work

Reference 2024

Resolution: parse uncertain; no resolver link, observed 2026-08-16T01:08:24.127630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3175e25e-48f6-4e63-a3f2-75c9b3e330ce · outbound

This paper cites 2, 6, 7, 8, 16, 18.

Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning 2, 6, 7, 8, 16, 18

Reference 2527

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:08:30.314476Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers