Paper Citation Record · LEDGER

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.16760.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.16760 v1

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Pith citing papers itemized under the disclosed page cap.

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Outbound references

Observation 4f1a6689-3818-4310-a8fe-dfba347e1aea · outbound

This paper cites Seismic layer segmentation models with channel attention block in carbon storage study,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Seismic layer segmentation models with channel attention block in carbon storage study,

Reference 1

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Observation 65d32c28-9c94-4dd9-ae0d-b05272b5aa58 · outbound

This paper cites A seismic- based co2-sequestration regional assessment of the miocene section, northern gulf of mexico, texas and louisiana,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies A seismic- based co2-sequestration regional assessment of the miocene section, northern gulf of mexico, texas and louisiana,

Reference 2

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Observation d88e2a74-7abc-4c6a-ac20-fb5eddc1529d · outbound

This paper cites A machine learning benchmark for facies classification,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies A machine learning benchmark for facies classification,

Reference 3

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Observation 27c88198-e483-495b-b221-2dff9007d3d4 · outbound

This paper cites Deep learning for automated seismic facies classification,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Deep learning for automated seismic facies classification,

Reference 4

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Observation c4dca481-ce33-44bd-8f60-f3a0d7372274 · outbound

This paper cites Few-shot learning for semantic segmentation of seismic data,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Few-shot learning for semantic segmentation of seismic data,

Reference 5

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Observation 13dffb9d-6df7-4bd1-894c-e393c946d297 · outbound

This paper cites Riding the wave: One-touch automatic salt segmentation by coupling sam and seggpt,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Riding the wave: One-touch automatic salt segmentation by coupling sam and seggpt,

Reference 6

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Observation ab8f79b0-33c2-47f9-b74d-1ff67c841cb4 · outbound

This paper cites Improving seismic interpretation accuracy and efficiency with human- machine collaboration,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Improving seismic interpretation accuracy and efficiency with human- machine collaboration,

Reference 7

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Observation defea69f-f7e6-49b3-9ecd-bf2c22d41ce2 · outbound

This paper cites Self-supervised learning for efficient seismic facies classification,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Self-supervised learning for efficient seismic facies classification,

Reference 8

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Observation 1885237f-de3c-4371-be8c-361e5636855f · outbound

This paper cites Visualizing and understanding convolu- tional networks,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Visualizing and understanding convolu- tional networks,

Reference 9

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Observation baf0555b-6c5a-44ae-a63a-5a3eafec55aa · outbound

This paper cites Cnn features off-the-shelf: an astounding baseline for recognition,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Cnn features off-the-shelf: an astounding baseline for recognition,

Reference 10

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Observation 2d11089a-3778-4813-a045-c2131193536b · outbound

This paper cites Seg advanced modeling corporation ai project,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Seg advanced modeling corporation ai project,

Reference 11

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Observation 8f078443-ebaf-4718-b793-fe33b5085fe5 · outbound

This paper cites Penobscot dataset: Fostering machine learning devel- opment for seismic interpretation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Penobscot dataset: Fostering machine learning devel- opment for seismic interpretation,

Reference 12

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Observation 717f18e9-1289-46ae-8765-dbb63340a55c · outbound

This paper cites Optimization as a model for few-shot learning,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Optimization as a model for few-shot learning,

Reference 16

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Observation f8671f69-82dd-488f-8f2c-9853dc1aae9d · outbound

This paper cites Prototypical networks for few- shot learning,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Prototypical networks for few- shot learning,

Reference 17

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Observation 3e18c2a9-d740-43e8-baa8-80c2cc5afec4 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 18

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Observation 66a4e4b5-313d-4832-b77c-6d826a106a30 · outbound

This paper cites Prototype queue learning for multi- class few-shot semantic segmentation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Prototype queue learning for multi- class few-shot semantic segmentation,

Reference 19

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Observation 590d5cae-0fe9-4eca-8600-e0332a068bf7 · outbound

This paper cites Incrementer: Transformer for class-incremental semantic segmentation with knowl- edge distillation focusing on old class,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Incrementer: Transformer for class-incremental semantic segmentation with knowl- edge distillation focusing on old class,

Reference 20

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This paper cites One-shot learning for semantic segmentation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies One-shot learning for semantic segmentation,

Reference 21

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This paper cites Dense gaussian processes for few-shot segmentation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Dense gaussian processes for few-shot segmentation,

Reference 22

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This paper cites Mseg: A composite dataset for multi-domain semantic segmentation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Mseg: A composite dataset for multi-domain semantic segmentation,

Reference 23

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Observation dd1000ac-5646-4dc6-8d51-6a33d325e028 · outbound

This paper cites Lmseg: Language- guided multi-dataset segmentation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Lmseg: Language- guided multi-dataset segmentation,

Reference 24

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This paper cites Dataseg: Taming a universal multi-dataset multi-task segmentation model,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Dataseg: Taming a universal multi-dataset multi-task segmentation model,

Reference 25

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Observation f751acf8-dae7-47f1-abb7-38e699bc2865 · outbound

This paper cites Few- shot learning for seismic facies segmentation via prototype learning,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Few- shot learning for seismic facies segmentation via prototype learning,

Reference 26

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Observation b3c3a8c8-3ddd-404c-bc74-f84d970e39b9 · outbound

This paper cites Seismic fault detection in real data using transfer learning from a convolutional neural network pre-trained with synthetic seismic data,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Seismic fault detection in real data using transfer learning from a convolutional neural network pre-trained with synthetic seismic data,

Reference 27

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Observation 49c855f2-0783-489c-942e-d5f9961e940a · outbound

This paper cites Multitask training as regularization strategy for seismic image segmentation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Multitask training as regularization strategy for seismic image segmentation,

Reference 28

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Observation 33ed6eed-120a-4914-a0a7-6f428d180dc7 · outbound

This paper cites An open-source package for deep-learning-based seismic facies classifica- tion: Benchmarking experiments on the seg 2020 open data,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies An open-source package for deep-learning-based seismic facies classifica- tion: Benchmarking experiments on the seg 2020 open data,

Reference 29

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Observation d6a1ca06-9dda-400e-adfd-82290fb58d46 · outbound

This paper cites A deep learning framework for seismic facies classification,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies A deep learning framework for seismic facies classification,

Reference 30

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Observation 9abaad37-801c-4f20-bfc1-a81fc0c6c624 · outbound

This paper cites Semantic segmentation of seismic images,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Semantic segmentation of seismic images,

Reference 31

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Observation 065492ab-cd8e-41d8-9031-d6599a9f6985 · outbound

This paper cites Self-supervised learning for seismic image segmentation from few-labeled samples,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Self-supervised learning for seismic image segmentation from few-labeled samples,

Reference 32

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Observation d431fd7c-eced-471c-9101-5f53ba05553e · outbound

This paper cites Segment anything,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Segment anything,

Reference 33

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This paper cites On the texture bias for few-shot cnn segmentation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies On the texture bias for few-shot cnn segmentation,

Reference 34

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Observation 0cefeb56-60a0-4a56-a91d-ec85f1b90f4b · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies ImageNet: A Large-Scale Hierarchical Image Database,

Reference 35

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Observation b76a7db3-599a-4e44-9539-3fd227b660b6 · outbound

This paper cites What makes ImageNet good for transfer learning?.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies What makes ImageNet good for transfer learning?

Reference 36

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This paper cites A simple framework for contrastive learning of visual representations,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies A simple framework for contrastive learning of visual representations,

Reference 37

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AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Unresolved cited work

Reference 38

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Observation a6f508f7-4def-4747-8073-5f66f4e3aaa0 · outbound

This paper cites Deep residual learning for image recognition,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Deep residual learning for image recognition,

Reference 39

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Observation 82c758a9-c2b2-4203-b246-0a9a8870f6af · outbound

This paper cites Learning a discriminative feature network for semantic segmentation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Learning a discriminative feature network for semantic segmentation,

Reference 40

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Observation 31f589c8-541f-4fe9-908a-4bf3fa56e4bc · outbound

This paper cites Improving seismic fault recognition with self-supervised pre-training: A study of 3d transformer-based with multi-scale decoding and fusion,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Improving seismic fault recognition with self-supervised pre-training: A study of 3d transformer-based with multi-scale decoding and fusion,

Reference 41

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Observation 8eafd700-ecd3-420f-b679-b85bb59c4cd1 · outbound

This paper cites Salt3dnet: A self-supervised learning framework for 3-d salt segmen- tation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Salt3dnet: A self-supervised learning framework for 3-d salt segmen- tation,

Reference 42

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Observation 9853fca6-a341-4159-a18e-a6ffac69047b · outbound

This paper cites Barlow twins: Self- supervised learning via redundancy reduction,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Barlow twins: Self- supervised learning via redundancy reduction,

Reference 43

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Observation c8d9a465-cb0d-4fbe-9c6f-b534d2e1a175 · outbound

This paper cites Auto-encoding variational bayes,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Auto-encoding variational bayes,

Reference 44

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Observation 692fbd5e-9931-40a2-8eb8-c5cbe2786fd3 · outbound

This paper cites Gens: generative encoding networks,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Gens: generative encoding networks,

Reference 45

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Observation 3412f9c9-3757-4424-8bc0-18e55e302dc6 · outbound

This paper cites Matching aggregate posteriors in the variational autoencoder,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Matching aggregate posteriors in the variational autoencoder,

Reference 46

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Observation 175e0f3e-0bb7-4ffe-b572-632bcf49be20 · outbound

This paper cites ARD-VAE: A Statistical Formulation to Find the Relevant Latent Dimensions of Variational Autoencoders.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies ARD-VAE: A Statistical Formulation to Find the Relevant Latent Dimensions of Variational Autoencoders

Reference 47

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Observation c8e24836-669d-4c10-b84b-a7c77ca75abf · outbound

This paper cites Disentanglement Analysis in Deep Latent Variable Models Matching Aggregate Posterior Distributions.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Disentanglement Analysis in Deep Latent Variable Models Matching Aggregate Posterior Distributions

Reference 48

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Observation 4d32a335-4363-4cc4-918a-41509a34c2d5 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies U-net: Convolutional networks for biomedical image segmentation,

Reference 49

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Observation 6a3df911-8657-41ee-99ab-4c8fd03d61c4 · outbound

This paper cites Transfer learning applied to seismic images classification,.

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Transfer learning applied to seismic images classification,

Reference 50

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Pith citing papers

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