Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery | Paper Citation Record

Observation 102e6bd3-919a-4ff4-8e09-f10dd3ff3533 · outbound

This paper cites Semi-supervised subspace clustering via tensor low-rank representation,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Semi-supervised subspace clustering via tensor low-rank representation,

Reference 1

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Observation f5741243-6f46-4da8-ab92-cfb81555cb5c · outbound

This paper cites Instant: Semi-supervised learning with instance-dependent thresholds,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Instant: Semi-supervised learning with instance-dependent thresholds,

Reference 2

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Observation 982ccc03-cb8b-4ee1-974b-325acf669fd1 · outbound

This paper cites Temporal ensembling for semi-supervised learn- ing,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Temporal ensembling for semi-supervised learn- ing,

Reference 3

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Observation 62a8208e-ea7f-4cd2-8ef3-2bc678ec6905 · outbound

This paper cites Generalized category discovery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Generalized category discovery,

Reference 4

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Observation 2617d848-f660-4e5e-b327-f239830ee7ef · outbound

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

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Parametric classification for generalized category discovery: A baseline study,

Reference 5

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Observation 19b93a2c-0d9c-4b7e-8769-64463b7fc086 · outbound

This paper cites Textual knowledge matters: Cross-modality co-teaching for generalized visual class discov- ery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Textual knowledge matters: Cross-modality co-teaching for generalized visual class discov- ery,

Reference 6

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Observation bbecd482-217b-448d-9809-5b4e60153554 · outbound

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

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery GET: unlocking the multi-modal potential of CLIP for generalized category discovery,

Reference 7

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Observation aad52082-d7c0-41ad-91c3-a8a5be20fdde · outbound

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

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery CLIP-GCD: Simple Language Guided Generalized Category Discovery

Reference 8

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Observation d8bdb6a3-b6e2-45c8-a597-b856d93fa8df · outbound

This paper cites Deep co- space: Sample mining across feature transformation for semi-supervised learning,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Deep co- space: Sample mining across feature transformation for semi-supervised learning,

Reference 9

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Observation a42f21a7-13c2-4faa-9a6b-41f83e0bc90b · outbound

This paper cites Noise-robust semi-supervised learning via consistency regularization on augmented graphs,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Noise-robust semi-supervised learning via consistency regularization on augmented graphs,

Reference 10

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Observation cd4b353b-efe9-4b72-987f-95acb4055562 · outbound

This paper cites Multi-perspective pseudo-label generation and confidence-weighted training for semi- supervised semantic segmentation,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Multi-perspective pseudo-label generation and confidence-weighted training for semi- supervised semantic segmentation,

Reference 11

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Observation 60d84d22-b41a-4b0c-ba42-de227c50245d · outbound

This paper cites Trusted semi- supervised multi-view classification with contrastive learning,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Trusted semi- supervised multi-view classification with contrastive learning,

Reference 12

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Observation c49d1c40-1f8d-4fad-b3e7-e867b6a7c7aa · outbound

This paper cites Semi-supervised contrastive learning with similarity co- calibration,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Semi-supervised contrastive learning with similarity co- calibration,

Reference 13

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Observation 1f0196bc-ec99-489b-86ec-1235b46a6283 · outbound

This paper cites Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,

Reference 14

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Observation e1babf0a-df5a-4c77-9890-55dea31f97ce · outbound

This paper cites Pseudo-labeling and confirmation bias in deep semi-supervised learn- ing,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Pseudo-labeling and confirmation bias in deep semi-supervised learn- ing,

Reference 15

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Observation bc9d2cd6-57fe-4c2a-8ace-52b35125df24 · outbound

This paper cites In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection frame- work for semi-supervised learning,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection frame- work for semi-supervised learning,

Reference 16

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Observation 1a1d22d1-029b-42d0-84d6-67a42a8bfab4 · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Fixmatch: Simplifying semi-supervised learning with consistency and confidence,

Reference 17

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Observation 6a0d5023-cfc5-4b9f-969b-1bde4946f05c · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Mixmatch: A holistic approach to semi-supervised learning,

Reference 18

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Observation a0a07d08-a323-4650-bdf3-711b14edfb11 · outbound

This paper cites Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling,

Reference 19

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Observation 130f2548-b432-4333-a7a4-0aabc73caeff · outbound

This paper cites Proxy-anchor and evt-driven con- tinual learning method for generalized category discovery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Proxy-anchor and evt-driven con- tinual learning method for generalized category discovery,

Reference 20

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Observation b1848466-a7a7-485f-9bc0-b7572f9a159e · outbound

This paper cites Sharpness- aware dynamic anchor selection for generalized category discovery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Sharpness- aware dynamic anchor selection for generalized category discovery,

Reference 21

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Observation bf46ae82-115d-4886-997c-9d6741162899 · outbound

This paper cites Learning part knowledge to facilitate category understanding for fine-grained generalized category discovery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Learning part knowledge to facilitate category understanding for fine-grained generalized category discovery,

Reference 22

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Observation f7119e4c-b1dd-430b-8dad-7957f0466ab6 · outbound

This paper cites No representation rules them all in category discovery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery No representation rules them all in category discovery,

Reference 23

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Observation d860ffd5-4263-425e-9cf5-e5ff6af9c035 · outbound

This paper cites Solving the catastrophic forgetting problem in generalized category discovery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Solving the catastrophic forgetting problem in generalized category discovery,

Reference 24

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Observation 6bd6e908-00da-4c29-ae34-0e5290d7bf19 · outbound

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

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Promptcal: Contrastive affinity learning via auxiliary prompts for generalized novel category discovery,

Reference 25

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Observation ad681a9a-b5db-4b52-8062-b701c27f04b8 · outbound

This paper cites SPTNet: An efficient alternative frame- work for generalized category discovery with spatial prompt tuning,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery SPTNet: An efficient alternative frame- work for generalized category discovery with spatial prompt tuning,

Reference 26

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Observation 84fdb589-ba77-4f46-bb79-ec47d29960df · outbound

This paper cites Adaptgcd: Multi-expert adapter tuning for generalized category discovery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Adaptgcd: Multi-expert adapter tuning for generalized category discovery,

Reference 27

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Observation ed2f9dcd-8661-4067-bd0b-7853f2769998 · outbound

This paper cites Multimodal generalized category discovery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Multimodal generalized category discovery,

Reference 28

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Observation c9eb51b9-d658-4942-9206-c63bf2889743 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Learning transferable visual models from natural language supervi- sion,

Reference 29

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Observation 386c1127-d86c-40f8-96a2-be0e3eb181b7 · outbound

This paper cites Sigmoid loss for language image pre-training,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Sigmoid loss for language image pre-training,

Reference 30

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Observation 05621dfe-8106-41eb-b934-c92a9b7b3e03 · outbound

This paper cites Visual Classification via Description from Large Language Models.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Visual Classification via Description from Large Language Models

Reference 31

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Observation 00109df6-1a85-4fa4-a432-2b4599048515 · outbound

This paper cites Chils: Zero-shot image classification with hierarchical label sets,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Chils: Zero-shot image classification with hierarchical label sets,

Reference 32

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Observation 90ed6327-d0dd-4c61-95e4-c8736d78d2ed · outbound

This paper cites Language in a bottle: Language model guided concept bot- tlenecks for interpretable image classification,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Language in a bottle: Language model guided concept bot- tlenecks for interpretable image classification,

Reference 33

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Observation 8f28c2f3-84bf-41f3-9f51-975fef556cc1 · outbound

This paper cites CLIP-Adapter: Better vision-language models with feature adapters,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery CLIP-Adapter: Better vision-language models with feature adapters,

Reference 34

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Observation a92150d8-9014-4f43-94d5-e85629c1ca87 · outbound

This paper cites Visual-language prompt tuning with knowledge-guided context optimization,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Visual-language prompt tuning with knowledge-guided context optimization,

Reference 35

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Observation d5ef86b2-2892-47cf-ae88-48318dadb062 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Vision-language models for vision tasks: A survey,

Reference 36

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Observation dbd6250b-374e-4475-8a99-5e19176a4d35 · outbound

This paper cites Dual modality prompt tuning for vision-language pre-trained model,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Dual modality prompt tuning for vision-language pre-trained model,

Reference 37

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Observation 72facb79-4d11-4f9a-a0ab-9d807782c7f8 · outbound

This paper cites Adapt- Former: Adapting vision transformers for scalable visual recognition,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Adapt- Former: Adapting vision transformers for scalable visual recognition,

Reference 38

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Observation afa15137-535b-4251-a2de-2031594ea34f · outbound

This paper cites Caltech-ucsd birds 200,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Caltech-ucsd birds 200,

Reference 39

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Observation 941b8e0d-f798-4095-a40b-e95b59c43bc6 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Fine-Grained Visual Classification of Aircraft

Reference 40

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Observation 3fc0c039-5413-4158-9c3f-d6dfb6133a38 · outbound

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

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery 3d object representations for fine-grained categorization,

Reference 41

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Observation ac9f3b4d-1793-462f-a8a8-f185666b5e3b · outbound

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

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Learning multiple layers of features from tiny images,

Reference 42

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Observation 721bb58a-fd5c-4b7b-871e-fb38ce5cc098 · outbound

This paper cites Contrastive multiview coding,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Contrastive multiview coding,

Reference 43

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Observation 7010a724-0968-422f-bade-7e5b6e4a8805 · outbound

This paper cites k-means++: the advantages of careful seeding,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery k-means++: the advantages of careful seeding,

Reference 44

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Observation a8efe68f-6ba6-460c-ad5d-961d283b3179 · outbound

This paper cites Au- tonovel: Automatically discovering and learning novel visual categories,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Au- tonovel: Automatically discovering and learning novel visual categories,

Reference 45

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Observation 623741f6-db9d-494f-b67c-a137d1850418 · outbound

This paper cites A unified objective for novel class discovery,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery A unified objective for novel class discovery,

Reference 46

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Observation 3046d438-a5b7-46ab-b144-9b6741ef485e · outbound

This paper cites Open-world semi-supervised learning,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Open-world semi-supervised learning,

Reference 47

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Observation 7c9ee917-03fa-45d9-8f5b-e90f603fc487 · outbound

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

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Dynamic conceptional contrastive learning for generalized category discovery,

Reference 48

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Observation da076ca1-420e-473c-9a71-6c8f06a9900f · outbound

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

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 49

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Observation ae2a9992-f1a0-471f-b89d-83ff94771040 · outbound

This paper cites Conditional prompt learn- ing for vision-language models,.

Synergistic Dual-Branch Adaptation for Multi-modal Generalized Category Discovery Conditional prompt learn- ing for vision-language models,

Reference 50

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