Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models | Paper Citation Record

Observation da31a4b3-3b1b-40b2-8d6d-1c70ef944388 · outbound

This paper cites Category discovery: An open-world perspective.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Category discovery: An open-world perspective

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:11.121351Z

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Observation ac16c7d8-457d-460f-b54d-25f8a16244f0 · outbound

This paper cites Learning to discover novel visual categories via deep transfer clustering.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Learning to discover novel visual categories via deep transfer clustering

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.664121Z

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Observation 52bdc981-da0e-475d-9f80-939c8f9ec6f0 · outbound

This paper cites Generalized category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Generalized category discovery

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.666324Z

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Observation cf885a11-4a37-4dc8-a289-27827912692c · outbound

This paper cites Parametric classification for generalized category discovery: A baseline study.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Parametric classification for generalized category discovery: A baseline study

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.668525Z

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Observation c71162f9-121b-4ec6-8d3d-617a3f05d841 · outbound

This paper cites Promptcal: Contrastive affinity learning via auxiliary prompts for generalized novel category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Promptcal: Contrastive affinity learning via auxiliary prompts for generalized novel category discovery

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.661350Z

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Observation 7412edb2-ee40-4995-ad0f-cf38ebf0c711 · outbound

This paper cites Dynamic conceptional contrastive learning for generalized category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Dynamic conceptional contrastive learning for generalized category discovery

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.658722Z

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Observation 178720e0-3621-457f-a791-dd7605510383 · outbound

This paper cites Domain-adversarial training of neural networks.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Domain-adversarial training of neural networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.654366Z

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Observation a8ad845f-9931-4605-a852-2722f2fb20e9 · outbound

This paper cites Deep transfer learning with joint adaptation networks.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Deep transfer learning with joint adaptation networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.665893Z

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Observation d066082a-6772-4bf3-a65a-25fc640e5e42 · outbound

This paper cites Patch-mix transformer for unsupervised domain adaptation: A game perspective.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Patch-mix transformer for unsupervised domain adaptation: A game perspective

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.708850Z

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Observation e7115f3d-c7d6-46f9-b6b1-aa9295bdd940 · outbound

This paper cites Domain generalization with mixstyle.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Domain generalization with mixstyle

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.639377Z

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Observation e3303074-b7f2-4ba1-9e6b-43df23d0500f · outbound

This paper cites Gradient matching for domain generalization.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Gradient matching for domain generalization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.648636Z

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Observation 15203cf5-d7f3-450a-9d1f-aa4e39289b8f · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Emerging properties in self-supervised vision transformers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.642525Z

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Observation 2ab5f3a8-ac5b-49ed-b0c6-29eaa0d75858 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models DINOv2: Learning Robust Visual Features without Supervision

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:16:11.041752Z

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Observation 73c97f59-97c9-4694-a542-74f0edccb478 · outbound

This paper cites DINOv3.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models DINOv3

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:16:10.993438Z

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Observation ca116dec-54ca-4c18-b962-c694517512d5 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Learning transferable visual models from natural language supervision

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.613890Z

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Observation 7705f7b8-a4a8-4a12-af74-a08ba966d932 · outbound

This paper cites Normalized cuts and image segmentation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Normalized cuts and image segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.607848Z

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Observation b6bcc4f3-e98e-41a0-94c0-eb7baf59b6ae · outbound

This paper cites Hilo: A learning framework for generalized category discovery robust to domain shifts.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Hilo: A learning framework for generalized category discovery robust to domain shifts

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.616433Z

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Observation 9f0d3dfe-df17-459c-8045-42b98611d90c · outbound

This paper cites Automatically discovering and learning new visual categories with ranking statistics.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Automatically discovering and learning new visual categories with ranking statistics

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.625695Z

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Observation acf081e2-f4a2-43ad-b796-410c003c0f6d · outbound

This paper cites Autonovel: Automatically discovering and learning novel visual categories.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Autonovel: Automatically discovering and learning novel visual categories

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.680821Z

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Observation 0fd62374-f4ae-4228-a3b2-3312a663dead · outbound

This paper cites Neighborhood contrastive learning for novel class discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Neighborhood contrastive learning for novel class discovery

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.571711Z

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Observation 95734e36-a3c5-46e5-aa15-31ff0ed1d676 · outbound

This paper cites A unified objective for novel class discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models A unified objective for novel class discovery

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.575168Z

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Observation a8f24913-8614-4481-bc2d-1f27d5976c36 · outbound

This paper cites Joint representation learning and novel category discovery on single- and multi-modal data.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Joint representation learning and novel category discovery on single- and multi-modal data

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.581620Z

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Observation 6042b7d3-fad8-46a8-a44b-b18fe7ad50aa · outbound

This paper cites Openmix: Reviving known knowledge for discovering novel visual categories in an open world.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Openmix: Reviving known knowledge for discovering novel visual categories in an open world

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.692427Z

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Observation a369e363-4cdc-4738-a4aa-41bf5bcc2665 · outbound

This paper cites Class-relation knowledge distillation for novel class discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Class-relation knowledge distillation for novel class discovery

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.695359Z

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Observation edc71bbd-c5cd-4dfe-9265-e8f6f2f7e8e2 · outbound

This paper cites Novel visual category discovery with dual ranking statistics and mutual knowledge distillation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Novel visual category discovery with dual ranking statistics and mutual knowledge distillation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.683432Z

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Observation ddd3e78b-68b1-4477-9887-0daab4470873 · outbound

This paper cites Novel class discovery without forgetting.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Novel class discovery without forgetting

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.689607Z

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Observation e208c8bd-08dc-4f0d-84e7-0ad9f06a5337 · outbound

This paper cites Learning semi-supervised gaussian mixture models for generalized category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Learning semi-supervised gaussian mixture models for generalized category discovery

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.383890Z

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Observation c0551c42-181b-457f-9208-4076c8266844 · outbound

This paper cites Cipr: An efficient framework with cross-instance positive relations for generalized category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Cipr: An efficient framework with cross-instance positive relations for generalized category discovery

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.537402Z

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Observation ad8a7073-2dd9-40d3-8311-fd71f4babd5c · outbound

This paper cites SEAL: Semantic-aware hierarchical learning for generalized category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models SEAL: Semantic-aware hierarchical learning for generalized category discovery

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.417622Z

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Observation 60787bee-2bcd-4cb3-91ee-605cc4362f0c · outbound

This paper cites Hyperbolic category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Hyperbolic category discovery

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.674294Z

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Observation a881889c-df09-4cdc-9cd7-a3ec2e667d44 · outbound

This paper cites Debgcd: Debiased learning with distribution guidance for generalized category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Debgcd: Debiased learning with distribution guidance for generalized category discovery

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.639607Z

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Observation 556b2836-b544-48d4-86fe-8aaa58596276 · outbound

This paper cites Learn to categorize or categorize to learn? self-coding for generalized category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Learn to categorize or categorize to learn? self-coding for generalized category discovery

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.522858Z

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Observation df6c336c-e104-4a48-a609-c6d71b8c32a5 · outbound

This paper cites PartCo: Part-Level Correspondence Priors Enhance Category Discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models PartCo: Part-Level Correspondence Priors Enhance Category Discovery

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:03:50.010837Z

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Observation 6327fe27-e83e-43a8-a0a9-12c0d26ef64c · outbound

This paper cites CLIP-GCD: Simple Language Guided Generalized Category Discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models CLIP-GCD: Simple Language Guided Generalized Category Discovery

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:11.018651Z

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Observation 43c10f9b-0f08-45e2-b55e-3321a829471e · outbound

This paper cites Consistent prompt tuning for generalized category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Consistent prompt tuning for generalized category discovery

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.398391Z

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Observation ababdeee-80e2-48bd-848d-58ca4aa013d8 · outbound

This paper cites GET: Unlocking the multi-modal potential of CLIP for generalized category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models GET: Unlocking the multi-modal potential of CLIP for generalized category discovery

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.378723Z

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Observation 0b82dfae-6496-4707-9766-1033daaa5986 · outbound

This paper cites Learning to prompt for vision-language models.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Learning to prompt for vision-language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.657088Z

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Observation 2842060b-607e-4066-b6c2-031313157a43 · outbound

This paper cites Conditional prompt learning for vision-language models.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Conditional prompt learning for vision-language models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.646094Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00601917-1f70-4ffc-af54-6113a4b3d4ce · outbound

This paper cites Visual prompt tuning.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Visual prompt tuning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.372051Z

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Observation 35c28237-00f2-4d4c-80ea-e5f0ef38376d · outbound

This paper cites Sptnet: An efficient alternative framework for generalized category discovery with spatial prompt tuning.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Sptnet: An efficient alternative framework for generalized category discovery with spatial prompt tuning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.471964Z

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Observation f27361e5-94ab-4641-91ea-18199ea6e3c7 · outbound

This paper cites Promptccd: Learning gaussian mixture prompt pool for continual category discovery.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Promptccd: Learning gaussian mixture prompt pool for continual category discovery

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.686383Z

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Observation cd58d892-ec9b-4aa0-9312-36d32b8c1bbb · outbound

This paper cites Generalized category discovery under domain shift: A frequency domain perspective.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Generalized category discovery under domain shift: A frequency domain perspective

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.660082Z

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Observation 59986235-d832-44bf-a2f9-1e2a096597a2 · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Deep Domain Confusion: Maximizing for Domain Invariance

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:11.031351Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a943d00e-2ae3-4747-8ff5-0167a3cd6ab5 · outbound

This paper cites Learning transferable features with deep adaptation networks.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Learning transferable features with deep adaptation networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.663033Z

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Observation 3545bb55-99d3-462a-b1e9-d8f0c25d68a3 · outbound

This paper cites Open set domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Open set domain adaptation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.698354Z

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Observation f413f7b2-4647-4abf-949d-259cf3f1cfcf · outbound

This paper cites Deep coral: Correlation alignment for deep domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Deep coral: Correlation alignment for deep domain adaptation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.648793Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 31700f6e-2462-4d93-a892-0b5e437157dc · outbound

This paper cites Adversarial discriminative domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Adversarial discriminative domain adaptation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.636661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7aa98a61-dba7-47f4-ae63-2921697b8fcd · outbound

This paper cites Discriminative adversarial domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Discriminative adversarial domain adaptation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.668766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d918b10b-503b-4a4a-8c7f-6331810d8338 · outbound

This paper cites Conditional adversarial domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Conditional adversarial domain adaptation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.671455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 156734ba-0f77-4ad4-b5cc-211193551a80 · outbound

This paper cites Sliced wasserstein discrepancy for unsupervised domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Sliced wasserstein discrepancy for unsupervised domain adaptation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.604631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c21a30bf-9af9-4a94-8f88-15111a9595d6 · outbound

This paper cites Unsupervised domain adaptation for semantic segmentation via class-balanced self-training.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Unsupervised domain adaptation for semantic segmentation via class-balanced self-training

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.610824Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a70cf472-2bd7-4fb1-8f5f-0863d2e00b77 · outbound

This paper cites Model adaptation: Unsupervised domain adaptation without source data.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Model adaptation: Unsupervised domain adaptation without source data

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.619309Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d668a331-1af5-4878-be94-244912cebf89 · outbound

This paper cites Fixbi: Bridging domain spaces for unsupervised domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Fixbi: Bridging domain spaces for unsupervised domain adaptation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.629658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 17b39639-5fcf-40a9-b9cf-a54fc780d373 · outbound

This paper cites Reusing the task-specific classifier as a discriminator: Discriminator-free adversarial domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Reusing the task-specific classifier as a discriminator: Discriminator-free adversarial domain adaptation

Reference 54

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Observation f6641e40-fb80-4fb3-b629-9fbef20bbbb0 · outbound

This paper cites Cross-domain gradient discrepancy minimization for unsupervised domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Cross-domain gradient discrepancy minimization for unsupervised domain adaptation

Reference 55

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Observation 131aa557-b6c9-49f4-bccd-69ad1610153c · outbound

This paper cites Minimum class confusion for versatile domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Minimum class confusion for versatile domain adaptation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.401850Z

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Observation f95baa5c-7eb1-452e-b695-347881ff4a78 · outbound

This paper cites Learning to generalize: Meta-learning for domain generalization.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Learning to generalize: Meta-learning for domain generalization

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.578092Z

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Observation b0d43745-5166-4dd7-9b01-69d471d3934b · outbound

This paper cites Domain generalization via invariant feature representation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Domain generalization via invariant feature representation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.584733Z

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Observation e8a93e44-893e-469c-b9a8-c2c70f2224fb · outbound

This paper cites Swad: Domain generalization by seeking flat minima.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Swad: Domain generalization by seeking flat minima

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.591376Z

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Observation 45246233-f0cf-47e8-bb58-e7465dfbc8a3 · outbound

This paper cites Domain generalization using causal matching.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Domain generalization using causal matching

Reference 60

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Observation 02b32660-1c68-449a-a182-2c7c3470dd69 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Domain randomization for transferring deep neural networks from simulation to the real world

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.715252Z

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Observation 8857498f-8c01-4162-809b-8f8402dfc28a · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Representation Learning with Contrastive Predictive Coding

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:16:11.147352Z

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Observation d30c5ec2-1dd3-4a49-90c3-ef84fb79903b · outbound

This paper cites Dynamic few-shot visual learning without forgetting.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Dynamic few-shot visual learning without forgetting

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.677567Z

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Observation e91c8e6a-9352-40bd-ac48-884962dbe7a2 · outbound

This paper cites Masked siamese networks for label-efficient learning.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Masked siamese networks for label-efficient learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.559079Z

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Observation e8887079-ab34-48a6-a291-e881a949d47b · outbound

This paper cites Learning deep representations by mutual information estimation and maximization.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Learning deep representations by mutual information estimation and maximization

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.562351Z

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Observation 7b9d58db-5c38-4d66-85ae-1f3d68f7411d · outbound

This paper cites Transmix: Attend to mix for vision transformers.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Transmix: Attend to mix for vision transformers

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.565207Z

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Observation 328b063a-af38-4c5d-a88d-155741d1ed52 · outbound

This paper cites Rethinking the inception architecture for computer vision.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Rethinking the inception architecture for computer vision

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.599946Z

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Observation 0991deb3-2087-4310-b2a3-6cae95542d5c · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Scheduled sampling for sequence prediction with recurrent neural networks

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.545367Z

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Observation 201de585-a328-4a43-9536-40209c69348f · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Exploring Visual Prompts for Adapting Large-Scale Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:11.008917Z

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Observation 2482639d-bf72-438a-8c00-fdbc9aac1a11 · outbound

This paper cites Open-set recognition: A good closed-set classifier is all you need.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Open-set recognition: A good closed-set classifier is all you need

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.519898Z

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Observation 658f84e2-852b-4c5d-b6a5-d1c8e36d3932 · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Benchmarking neural network robustness to common corruptions and perturbations

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.572084Z

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Observation cddfcbe7-e7fd-41a5-9210-3104459bad33 · outbound

This paper cites The Caltech-UCSD Birds-200-2011 dataset.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models The Caltech-UCSD Birds-200-2011 dataset

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.542198Z

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Observation eaab0cda-8b85-485a-b7c2-c45143a1f900 · outbound

This paper cites 3d object representations for fine-grained categorization.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models 3d object representations for fine-grained categorization

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.656401Z

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Observation b97801e3-63fa-41bf-8bc4-1172d5df5e38 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Fine-Grained Visual Classification of Aircraft

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:41:07.065951Z

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Observation 0931d4ab-ccc0-4115-b8ce-394919e80a56 · outbound

This paper cites Moment matching for multi-source domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Moment matching for multi-source domain adaptation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.605924Z

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Observation 1fd9e19b-6505-47d4-9440-0ec5981eab8d · outbound

This paper cites Open-world semi-supervised learning.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Open-world semi-supervised learning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.567988Z

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Observation 3b73d50b-b38c-4359-9c1d-abef44040dd4 · outbound

This paper cites In search of forgotten domain generaliza- tion.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models In search of forgotten domain generaliza- tion

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.594401Z

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Observation 873c422f-8110-4ad0-aac7-5fe773c0f027 · outbound

This paper cites Does clip’s generalization performance mainly stem from high train-test similarity?.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Does clip’s generalization performance mainly stem from high train-test similarity?

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.701253Z

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Observation 32caf332-9fcf-4cee-97d8-b9d7be5a9594 · outbound

This paper cites Analysis of representations for domain adaptation.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Analysis of representations for domain adaptation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.637045Z

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Observation fd74151f-9982-4779-980e-2432a9c7351d · outbound

This paper cites A theory of learning from different domains.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models A theory of learning from different domains

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.532648Z

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Observation 297f5133-c661-451c-8cd4-174745536754 · outbound

This paper cites Detecting change in data streams.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Detecting change in data streams

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.625167Z

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Observation db56b9e5-e48c-4c03-a501-51d58a547daa · outbound

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Reference 82

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Observation ace304a3-f6ed-48fd-a047-461f8d64c8f1 · outbound

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Reference 83

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This paper cites Shalev-Shwartz and S.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Shalev-Shwartz and S

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.517393Z

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Observation 340a447c-a8d2-4cfe-8d9b-ad8e12e9d4c9 · outbound

This paper cites Relax, no need to round: Integrality of clustering formulations.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Relax, no need to round: Integrality of clustering formulations

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.502394Z

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Observation fafe4d45-bc54-4990-9d45-92ba5f313749 · outbound

This paper cites Clustering with same- cluster queries.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Clustering with same- cluster queries

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.517104Z

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Observation a2431923-f082-4f39-867a-51511ee4964e · outbound

This paper cites Devroye, L.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Devroye, L

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.580692Z

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Observation 8ce45679-e358-45d2-97d3-c6219b68fa16 · outbound

This paper cites Assouad, fano, and le cam.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Assouad, fano, and le cam

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.499295Z

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Observation 440a2b88-121a-497f-b2d6-79a92dbcaaab · outbound

This paper cites The information bottleneck method.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models The information bottleneck method

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:16:11.055728Z

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Observation 16356ee7-c9af-4571-b176-ba0ececf719e · outbound

This paper cites Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.506506Z

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Observation 12f646ca-2b6f-4aca-9ae5-f904bc2c4164 · outbound

This paper cites Neural tangent kernel: Conver- gence and generalization in neural networks.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Neural tangent kernel: Conver- gence and generalization in neural networks

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.520159Z

Source-reported events for the cited work

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Observation 9ab6dab7-fc20-4e6c-a21b-ee91a15582db · outbound

This paper cites How transferable are features in deep neural networks?.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models How transferable are features in deep neural networks?

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.535830Z

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Observation d64406f8-4d22-4ed5-a04a-e86259be6bb7 · outbound

This paper cites Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.602933Z

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Observation 513c6baa-94b5-4117-bdd6-5dfebd695928 · outbound

This paper cites Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.473952Z

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Observation d1fd6c1a-0344-4b09-a059-bb3006708fd5 · outbound

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

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.441217Z

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Observation d9269edf-1784-45a2-b70d-fdfb24ace7bd · outbound

This paper cites Do vision transformers see like convolutional neural networks?.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Do vision transformers see like convolutional neural networks?

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.470476Z

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Observation 4d69bd2d-f04b-4996-aaea-881c8b4ca873 · outbound

This paper cites Domain Adaptation: Learning Bounds and Algorithms.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Domain Adaptation: Learning Bounds and Algorithms

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:11.107354Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ec24940a-974c-499e-ac1d-262ab524d389 · outbound

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Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-05-24T13:26:13.481161Z

Source-reported events for the cited work

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Observation 6aab4d12-86ef-4f1a-ae41-5adaeb7ce813 · outbound

This paper cites A survey on distribution testing: Your data is big. but is it blue?.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models A survey on distribution testing: Your data is big. but is it blue?

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.467148Z

Source-reported events for the cited work

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Observation 4531220c-f0a7-4e68-9060-f0f1322f225f · outbound

This paper cites Kushner and G.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Kushner and G

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T13:26:13.484628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Reference resolution

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