Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection | Paper Citation Record

Observation 90d3982f-4d01-421b-84e2-f1f91a0d57d3 · outbound

This paper cites Semantically coherent out-of-distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Semantically coherent out-of-distribution detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.354982Z

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Observation 1b8a0768-e546-4708-b762-baf5ee77e4ae · outbound

This paper cites Learning multiple layers of features from tiny images,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Learning multiple layers of features from tiny images,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:48.894340Z

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Observation b7ffb0f0-8639-49a0-8509-b42f29dc33fa · outbound

This paper cites Tiny imagenet visual recognition challenge,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Tiny imagenet visual recognition challenge,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:48.899390Z

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Observation e4f38103-c5e7-419e-83f4-684e3b0baa8a · outbound

This paper cites Fine-grained food classification methods on the uec food-100 database,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Fine-grained food classification methods on the uec food-100 database,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.320280Z

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Observation 4bc66234-55ba-4683-af5b-0a9607cfee0a · outbound

This paper cites Garbagenet: a unified learning framework for robust garbage classification,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Garbagenet: a unified learning framework for robust garbage classification,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.305001Z

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Observation 6b37ea42-f873-4a62-bd78-2e5fe7545c61 · outbound

This paper cites Approaches and applications of early classification of time series: A review,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Approaches and applications of early classification of time series: A review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.290592Z

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Observation 12b22ac7-e6c4-4e03-a94c-b0cff2b1a92d · outbound

This paper cites Result- based re-computation for error-tolerant classification by a support vector machine,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Result- based re-computation for error-tolerant classification by a support vector machine,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.275874Z

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Observation 01ce1878-7b78-4aa4-b344-3a39244c0470 · outbound

This paper cites Multiscale repre- sentation learning for image classification: A survey,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Multiscale repre- sentation learning for image classification: A survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.260390Z

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Observation bf29ffe4-c7f6-4e0a-b887-c3a42c2f5209 · outbound

This paper cites Open set domain adaptation: Theoretical bound and algorithm,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Open set domain adaptation: Theoretical bound and algorithm,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.244696Z

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Observation 0915fd5b-12c4-4e8f-aa43-410282f7f022 · outbound

This paper cites Uncertainty-aware op- timal transport for semantically coherent out-of-distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Uncertainty-aware op- timal transport for semantically coherent out-of-distribution detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.229323Z

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Observation 8e511c98-3c52-4073-aade-27e0277fd88c · outbound

This paper cites Character-level street view text spotting based on deep multisegmen- tation network for smarter autonomous driving,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Character-level street view text spotting based on deep multisegmen- tation network for smarter autonomous driving,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.214643Z

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Observation 89962e12-41cd-4dd0-bc51-7e20a5f97907 · outbound

This paper cites An overview of artificial intelligence ethics,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection An overview of artificial intelligence ethics,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.198181Z

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Observation 8e24bd75-df9f-4c2d-9189-90c066da80bc · outbound

This paper cites Accelerating point-voxel representation of 3d object detection for automatic driving,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Accelerating point-voxel representation of 3d object detection for automatic driving,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.181805Z

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Observation 00cb9f0e-26e2-469b-9739-5f3ef18a2cbd · outbound

This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural networks,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection A baseline for detecting misclassified and out-of-distribution examples in neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.165632Z

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

Observation 239ebb8b-494c-46f1-b76d-e372c13b2369 · outbound

This paper cites Improving calibration and out-of- distribution detection in deep models for medical image segmentation,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Improving calibration and out-of- distribution detection in deep models for medical image segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.151332Z

Source-reported events for the cited work

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Observation d84d240c-ba0d-4bf3-9856-027248c6298c · outbound

This paper cites Rule- based out-of-distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Rule- based out-of-distribution detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.133786Z

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

Observation 02a77b96-ebb0-43aa-b4ca-040eafd38f3b · outbound

This paper cites An out-of-distribution attack resistance approach to emotion categorization,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection An out-of-distribution attack resistance approach to emotion categorization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.117390Z

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Observation 34f3ea6c-e5f6-4ec8-9260-9661179e0380 · outbound

This paper cites Few-shot learning network for out- of-distribution image classification,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Few-shot learning network for out- of-distribution image classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.101936Z

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Observation 8a441435-fbc4-4b8e-802f-8118578f73fb · outbound

This paper cites Learning bounds for open- set learning,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Learning bounds for open- set learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.087561Z

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Observation 340caf56-332f-4699-b4d7-b016660a121b · outbound

This paper cites Enhancing the reliability of out- of-distribution image detection in neural networks,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Enhancing the reliability of out- of-distribution image detection in neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.071857Z

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Observation ace0d3fe-7ab8-4386-9fc6-c667d370c0f8 · outbound

This paper cites Energy-based out-of-distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Energy-based out-of-distribution detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.056680Z

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Observation 8693ca03-26ca-4e57-9d2f-0e4ac70f4994 · outbound

This paper cites React: Out-of-distribution detection with rectified activations,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection React: Out-of-distribution detection with rectified activations,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.041547Z

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Observation 01c235c1-35a0-4118-9df0-bb5b54f70ba1 · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection A simple unified framework for detecting out-of-distribution samples and adversarial attacks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.026812Z

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Observation 7061f733-68d5-4f07-aa48-cdfe87924df4 · outbound

This paper cites Self-supervised learning for generalizable out-of-distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Self-supervised learning for generalizable out-of-distribution detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:50.010571Z

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 2d34de86-ad5b-440b-ad3a-e8a9a1928acb · outbound

This paper cites Out-of-distribution detection using an ensemble of self supervised leave-out classifiers,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Out-of-distribution detection using an ensemble of self supervised leave-out classifiers,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.995415Z

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 ff2ab1b9-8d43-4f5a-a870-cd3f8b4d69a3 · outbound

This paper cites Unsupervised out-of-distribution detection by maximum classifier discrepancy,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Unsupervised out-of-distribution detection by maximum classifier discrepancy,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.979369Z

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 3f155bb0-3566-441b-8f90-c9a27d82a781 · outbound

This paper cites Out-of-distribution detection using union of 1- dimensional subspaces,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Out-of-distribution detection using union of 1- dimensional subspaces,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.964789Z

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 16f8f657-f9e4-4edc-ac6c-4e8c23394c89 · outbound

This paper cites Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.949091Z

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 2eccd372-cc93-4ba8-a8b9-e64fb0ca504b · outbound

This paper cites How to exploit hyperspherical embeddings for out-of-distribution detection?.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection How to exploit hyperspherical embeddings for out-of-distribution detection?

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.933259Z

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 ae3c01cd-2f83-4bbc-b3de-b12d2be62052 · outbound

This paper cites Adversarial reciprocal points learning for open set recognition,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Adversarial reciprocal points learning for open set recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.916291Z

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 b376d085-014b-4b5b-a869-d0d897865229 · outbound

This paper cites V os: Learning what you don’t know by virtual outlier synthesis,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection V os: Learning what you don’t know by virtual outlier synthesis,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.901602Z

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 4feeca33-56c8-40d6-a471-07d7c7dbc56c · outbound

This paper cites Training confidence-calibrated classifiers for detecting out-of-distribution samples,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Training confidence-calibrated classifiers for detecting out-of-distribution samples,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.884543Z

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 2d28c013-7392-4364-b0c6-1d8f7cd8db31 · outbound

This paper cites Building robust classifiers through generation of confident out of distribution examples,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Building robust classifiers through generation of confident out of distribution examples,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.869464Z

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 e3f7b7f5-981f-48d4-ad56-5f8a8ebbf7d8 · outbound

This paper cites Out-of-distribution Detection in Classifiers via Generation.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Out-of-distribution Detection in Classifiers via Generation

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:16:49.296015Z

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 46df2c18-6093-44af-9e18-6acf701da6a9 · outbound

This paper cites idecode: In-distribution equivariance for conformal out-of-distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection idecode: In-distribution equivariance for conformal out-of-distribution detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.854265Z

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 2a8d3da9-7a87-4323-aed3-c54da4f25cff · outbound

This paper cites Single layer predictive normalized maximum likelihood for out-of-distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Single layer predictive normalized maximum likelihood for out-of-distribution detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.838057Z

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 a026c37e-816d-4f02-85a2-5c2373f80330 · outbound

This paper cites Hierarchical novelty detection for visual object recognition,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Hierarchical novelty detection for visual object recognition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.822902Z

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 cd682604-d74d-4ef8-88f5-2a090e9a20b1 · outbound

This paper cites Why normalizing flows fail to detect out-of-distribution data,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Why normalizing flows fail to detect out-of-distribution data,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.807813Z

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 449c5e6b-2140-4049-a20e-940f985ff879 · outbound

This paper cites Input complexity and out-of-distribution detection with likelihood-based generative models,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Input complexity and out-of-distribution detection with likelihood-based generative models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.792307Z

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 eae84b05-c62f-400a-aa2a-def999a68ced · outbound

This paper cites Hyperparameter-free out-of-distribution detection using cosine similarity,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Hyperparameter-free out-of-distribution detection using cosine similarity,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.775721Z

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 09640456-d78a-48c4-bbfc-4a26d4a8aa46 · outbound

This paper cites Rethinking reconstruction autoencoder-based out-of- distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Rethinking reconstruction autoencoder-based out-of- distribution detection,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.759971Z

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 ffce7008-f014-43da-ac24-aa1f1721864b · outbound

This paper cites Out-of-distribution detection with seman- tic mismatch under masking,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Out-of-distribution detection with seman- tic mismatch under masking,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.743176Z

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 faa54d00-2c22-4e23-813d-a7fbb1376069 · outbound

This paper cites Poem: Out-of-distribution detection with posterior sampling,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Poem: Out-of-distribution detection with posterior sampling,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.727090Z

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 6e40a694-238d-44c6-af8a-024e779e6c96 · outbound

This paper cites Conjnorm: Tractable density estimation for out-of-distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Conjnorm: Tractable density estimation for out-of-distribution detection,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.711151Z

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 99369323-77c9-4fda-adef-991ed8685d69 · outbound

This paper cites Deep residual learning for image recognition,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Deep residual learning for image recognition,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:49.098490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4470abcf-a224-4bcd-9c11-b70a7e893061 · outbound

This paper cites Graph convo- lutional neural network for human action recognition: A comprehensive survey,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Graph convo- lutional neural network for human action recognition: A comprehensive survey,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.685730Z

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 1c5e6f43-6df8-4885-817f-3d6534e1640e · outbound

This paper cites Prototype-based in- terpretable graph neural networks,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Prototype-based in- terpretable graph neural networks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.669694Z

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 ffbae116-1edd-4a6f-afb0-f5db7e0f2662 · outbound

This paper cites Multivariate time series representation learning via hierarchical correlation pooling boosted graph neural network,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Multivariate time series representation learning via hierarchical correlation pooling boosted graph neural network,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.652486Z

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 9501b48e-8e6a-4051-bb29-5a0f8c37eb4f · outbound

This paper cites Sparse vicious attacks on graph neural networks,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Sparse vicious attacks on graph neural networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.633573Z

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 d3088b38-d24c-4c43-a883-e942bb646f00 · outbound

This paper cites A simple yet effective framelet-based graph neural network for directed graphs,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection A simple yet effective framelet-based graph neural network for directed graphs,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.617908Z

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 8b35f9d6-c5bb-4404-84ed-337f1f1776f6 · outbound

This paper cites Recognizing predictive substructures with subgraph information bottleneck,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Recognizing predictive substructures with subgraph information bottleneck,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.602182Z

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 7946b368-35a4-4e50-ab0b-496ef0526b2a · outbound

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

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Spectral clustering with graph neural networks for graph pooling,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.586960Z

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 83c5d7d5-3e8a-40b0-9156-7dd3e359e8ef · outbound

This paper cites Graph cuts in vision and graphics: Theories and applications,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Graph cuts in vision and graphics: Theories and applications,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.572451Z

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 cac649ab-b818-40da-9055-614b2a5efdb6 · outbound

This paper cites Inductive representation learning on large graphs,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Inductive representation learning on large graphs,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:49.142289Z

Source-reported events for the cited work

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Observation 0c10a79d-f76f-4913-bc73-266a161f361d · outbound

This paper cites Deepcut: Unsupervised segmentation using graph neural networks clustering,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Deepcut: Unsupervised segmentation using graph neural networks clustering,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.538522Z

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 cd0d4953-2976-4389-a099-25d4458777fe · outbound

This paper cites Atten- tion multihop graph and multiscale convolutional fusion network for hyperspectral image classification,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Atten- tion multihop graph and multiscale convolutional fusion network for hyperspectral image classification,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.523615Z

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 22a3aca1-b4c3-48e7-a301-ec420f26d98a · outbound

This paper cites Supervised hierarchical clustering using graph neural networks for speaker diarization,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Supervised hierarchical clustering using graph neural networks for speaker diarization,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.508058Z

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 0c925d27-4b98-4aff-aaf2-6da6e3b7fb11 · outbound

This paper cites Learning hierarchical graph neural networks for image clustering,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Learning hierarchical graph neural networks for image clustering,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.491123Z

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 b4b51afd-4928-4b2d-92c4-a4808945d6f1 · outbound

This paper cites Improving knowledge-aware recommendation with multi-level interac- tive contrastive learning,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Improving knowledge-aware recommendation with multi-level interac- tive contrastive learning,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.475265Z

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 3e969252-6700-409e-b5dd-25bb9dbc828e · outbound

This paper cites Graph attention networks,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Graph attention networks,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:49.175283Z

Source-reported events for the cited work

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Observation 68b04df9-b3f6-4c2e-861b-1d3241a9dc6c · outbound

This paper cites Normalized cut-based saliency detection by adaptive multi-level region merging,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Normalized cut-based saliency detection by adaptive multi-level region merging,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.459272Z

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 899094b9-2efe-4a57-99f1-8869b7db44a2 · outbound

This paper cites Graph convo- lutional network for multi-label vhr remote sensing scene recognition,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Graph convo- lutional network for multi-label vhr remote sensing scene recognition,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.443820Z

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 6f1fdef2-1c7c-4af1-bc87-1c9fa1b87f6c · outbound

This paper cites Rosenblatt et al.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Rosenblatt et al

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.428643Z

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 9ede770a-bc59-4268-9b7c-7faf1f570245 · outbound

This paper cites Describing textures in the wild,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Describing textures in the wild,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:49.193755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22cfe481-5aae-4380-9473-652eb547c934 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Reading digits in natural images with unsupervised feature learning,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.402097Z

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 1c8ff2e5-b589-4b53-b26b-5a7bb382b2c6 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:49.204076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53503c1d-409e-4b4f-9c91-6525a94ecbbc · outbound

This paper cites Places: A 10 million image database for scene recognition,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Places: A 10 million image database for scene recognition,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.384129Z

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 1d040156-f2cd-48fd-826a-7d9a4ba1bc06 · outbound

This paper cites Deep anomaly detection with outlier exposure,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Deep anomaly detection with outlier exposure,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.367975Z

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 d571ee9f-8c70-4209-9009-12d977bdf360 · outbound

This paper cites Feed two birds with one scone: Exploiting wild data for both out-of-distribution generalization and detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Feed two birds with one scone: Exploiting wild data for both out-of-distribution generalization and detection,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.352662Z

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 a5c93442-7ad3-400d-a0f6-f98c97b5a572 · outbound

This paper cites Is out-of-distribution detection learnable?.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Is out-of-distribution detection learnable?

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.337512Z

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 c5588be1-f706-4541-be93-80ea152fa25a · outbound

This paper cites On the learnability of out-of- distribution detection,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection On the learnability of out-of- distribution detection,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:16:49.322176Z

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 c5ed91ae-e0a5-4430-b2e0-9e5457f415a6 · outbound

This paper cites The graph neural network model,.

Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection The graph neural network model,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T11:16:49.232057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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