Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification | Paper Citation Record

Observation 64817a0e-75ad-4647-afaa-5ac27cde6772 · outbound

This paper cites Multi-view convolutional neural networks for 3d shape recognition.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Multi-view convolutional neural networks for 3d shape recognition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:55.108343Z

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Observation 1a753005-dfcf-43a3-b55a-03af1aafa69a · outbound

This paper cites Gvcnn: Group-view convolutional neural networks for 3d shape recognition.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Gvcnn: Group-view convolutional neural networks for 3d shape recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:54.875021Z

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Observation 4051b8ef-4e17-454d-973d-f7b155335020 · outbound

This paper cites A deeper look at 3d shape classifiers.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification A deeper look at 3d shape classifiers

Reference 3

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Observation 37ffb56f-3415-49ee-ac94-6aa81f42173f · outbound

This paper cites 3d2seqviews: Aggregating sequential views for 3d global feature learning by cnn with hierarchical attention aggregation.IEEE Transactions on Image Processing, 28(8):3986–3999, 2019.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification 3d2seqviews: Aggregating sequential views for 3d global feature learning by cnn with hierarchical attention aggregation.IEEE Transactions on Image Processing, 28(8):3986–3999, 2019

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:54.632438Z

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Observation 0afea19f-0d80-4305-bd38-976e42a23816 · outbound

This paper cites End-to-end learning local multi-view descriptors for 3d point clouds.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification End-to-end learning local multi-view descriptors for 3d point clouds

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:54.499126Z

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Observation 69b70615-73aa-41ca-82ef-0efa8ed58c7e · outbound

This paper cites Veram: View-enhanced recurrent attention model for 3d shape classification.IEEE transactions on visualization and computer graphics, 25(12):3244–3257, 2018.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Veram: View-enhanced recurrent attention model for 3d shape classification.IEEE transactions on visualization and computer graphics, 25(12):3244–3257, 2018

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:54.386708Z

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Observation 9e51a08b-18ea-46fb-b135-7977fbf36260 · outbound

This paper cites Seqviews2seqlabels: Learning 3d global features via aggregating sequential views by rnn with attention.IEEE Transactions on Image Processing, 28(2):658–672, 2018.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Seqviews2seqlabels: Learning 3d global features via aggregating sequential views by rnn with attention.IEEE Transactions on Image Processing, 28(2):658–672, 2018

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:54.242711Z

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Observation 58a72475-17a2-4547-a922-0513fb85a379 · outbound

This paper cites Mlvcnn: Multi-loop-view convolutional neural network for 3d shape retrieval.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Mlvcnn: Multi-loop-view convolutional neural network for 3d shape retrieval

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:54.107168Z

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Observation c6fffec2-be09-4fe3-9a30-8bed89112ae7 · outbound

This paper cites View-gcn: View-based graph convolutional network for 3d shape analysis.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification View-gcn: View-based graph convolutional network for 3d shape analysis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:53.957806Z

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Observation 9ac79f6c-d82f-419b-8d9b-dd0a41192ba3 · outbound

This paper cites Learning canonical view representation for 3d shape recognition with arbitrary views.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Learning canonical view representation for 3d shape recognition with arbitrary views

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:53.779470Z

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Observation 296cdf14-52e3-4fdc-8340-d7b8767a5d53 · outbound

This paper cites Mvt: Multi-view vision transformer for 3d object recognition.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Mvt: Multi-view vision transformer for 3d object recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:53.616511Z

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Observation e4416bde-a6b3-46fc-9472-026001a3d0eb · outbound

This paper cites Vsformer: Mining correlations in flexible view set for multi-view 3d shape understanding.IEEE Transactions on Visualization and Computer Graphics, 2024.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Vsformer: Mining correlations in flexible view set for multi-view 3d shape understanding.IEEE Transactions on Visualization and Computer Graphics, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:53.431684Z

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Observation b88e30ae-9e0e-4762-a5e4-a5b112914a0d · outbound

This paper cites Group multi-view transformer for 3d shape analysis with spatial encoding.IEEE Transactions on Multimedia, 2024.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Group multi-view transformer for 3d shape analysis with spatial encoding.IEEE Transactions on Multimedia, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:53.289184Z

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Observation 02c31e9f-5f09-440f-b2f9-de216095c1d6 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 14

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Observation 12680bb6-3b41-4db2-918a-da0a69435a4d · outbound

This paper cites Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.Advances in neural information processing systems, 29, 2016.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.Advances in neural information processing systems, 29, 2016

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:53.129499Z

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Observation cb236217-fff0-4318-b97a-4241e4876437 · outbound

This paper cites Activation atlas.Distill, 4(3):e15, 2019.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Activation atlas.Distill, 4(3):e15, 2019

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:53.012487Z

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Observation a3efec01-c626-4e13-a0db-7d233b970560 · outbound

This paper cites Hmtn: Hierarchical multi-scale transformer network for 3d shape recognition.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Hmtn: Hierarchical multi-scale transformer network for 3d shape recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:52.799567Z

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Observation 9c1605bd-1552-4a28-8caa-5278ef1da939 · outbound

This paper cites Mhsan: Multi-view hierarchical self-attention network for 3d shape recognition.Pattern Recognition, 150:110315, 2024.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Mhsan: Multi-view hierarchical self-attention network for 3d shape recognition.Pattern Recognition, 150:110315, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:52.613662Z

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Observation 9ba0f506-03de-4d2c-9874-445b58f0e389 · outbound

This paper cites Fine-grained 3d shape classification with hierarchical part-view attention.IEEE Transactions on Image Processing, 30:1744–1758, 2021.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Fine-grained 3d shape classification with hierarchical part-view attention.IEEE Transactions on Image Processing, 30:1744–1758, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:52.403075Z

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Observation 897af508-5c4a-444c-b93a-07f7811fb667 · outbound

This paper cites Steps toward artificial intelligence.Proceedings of the IRE, 49(1):8–30, 1961.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Steps toward artificial intelligence.Proceedings of the IRE, 49(1):8–30, 1961

Reference 20

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Observation 594a81e0-0220-4ed4-8551-b29adfd4322a · outbound

This paper cites Human problem solving.Upper Saddle River/Prentive Hall, 1972.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Human problem solving.Upper Saddle River/Prentive Hall, 1972

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:52.190731Z

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Observation d788c053-a73c-4ad4-b345-4f303ad90b8d · outbound

This paper cites Matching categorical object representations in inferior temporal cortex of man and monkey.Neuron, 60(6):1126–1141, 2008.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Matching categorical object representations in inferior temporal cortex of man and monkey.Neuron, 60(6):1126–1141, 2008

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:44.317097Z

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Observation 13a01cc7-7dce-4f52-adcb-4e01aca8c6b8 · outbound

This paper cites Improving generalization via scalable neighborhood component analysis.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Improving generalization via scalable neighborhood component analysis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:52.021786Z

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Observation 8400473a-40c2-4a26-b0f5-35f4e1a00472 · outbound

This paper cites Robust classification with convolutional prototype learning.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Robust classification with convolutional prototype learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:51.857585Z

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Observation 23b0dfdc-cc2a-430e-abf7-9836c202f28b · outbound

This paper cites Visual Recognition with Deep Nearest Centroids.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Visual Recognition with Deep Nearest Centroids

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:44.587065Z

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Observation 6e381832-3063-4b94-bcb4-3504c8e8949e · outbound

This paper cites Prototypical networks for few-shot learning.Advances in neural information processing systems, 30, 2017.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Prototypical networks for few-shot learning.Advances in neural information processing systems, 30, 2017

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:51.642270Z

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Observation ea69e600-f616-48a6-be75-ef174e7e93c7 · outbound

This paper cites Hyperspherical prototype networks.Advances in neural information processing systems, 32, 2019.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Hyperspherical prototype networks.Advances in neural information processing systems, 32, 2019

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:51.446811Z

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Observation 5fd4c346-830e-45cd-b030-89efbb42f4ef · outbound

This paper cites an unresolved cited work.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:46:51.223746Z

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Observation 13c0ea09-8e60-40aa-8a54-ffcf56091935 · outbound

This paper cites Prototypical Priors: From Improving Classification to Zero-Shot Learning.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Prototypical Priors: From Improving Classification to Zero-Shot Learning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:46:48.019015Z

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Observation ebf2801b-6772-4705-bb0c-2379f25da26c · outbound

This paper cites Attribute prototype network for zero-shot learning.Advances in Neural Information Processing Systems, 33:21969–21980, 2020.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Attribute prototype network for zero-shot learning.Advances in Neural Information Processing Systems, 33:21969–21980, 2020

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:51.004974Z

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Observation 31976784-89a9-4f47-96be-0d87757d844c · outbound

This paper cites Panet: Few-shot image semantic segmentation with prototype alignment.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Panet: Few-shot image semantic segmentation with prototype alignment

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:50.822973Z

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Observation 9661c2d4-3aeb-494e-bdff-d849bdc22748 · outbound

This paper cites Adaptive prototype learning and allocation for few-shot segmentation.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Adaptive prototype learning and allocation for few-shot segmentation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:50.674604Z

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Observation 24dd4d3d-83aa-4c54-8523-4e313da16d76 · outbound

This paper cites Clustering based point cloud represen- tation learning for 3d analysis.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Clustering based point cloud represen- tation learning for 3d analysis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:50.499402Z

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Observation 8d855425-3591-4415-a60f-d6474bc739af · outbound

This paper cites Prototype-based semantic segmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Prototype-based semantic segmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:50.277909Z

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Observation 4fdfba4d-25c9-4e6f-b744-10ad5f1f1874 · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimination.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Unsupervised feature learning via non-parametric instance discrimination

Reference 35

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Observation 59427fb1-cc98-4a1a-b525-5d490985e10b · outbound

This paper cites Prototypical Contrastive Learning of Unsupervised Representations.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Prototypical Contrastive Learning of Unsupervised Representations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:46.081622Z

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Observation 6fd84abb-f129-4fed-af42-401fbbf85108 · outbound

This paper cites Augmentation invariant and instance spreading feature for softmax embedding.IEEE transactions on pattern analysis and machine intelligence, 44(2):924–939, 2020.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Augmentation invariant and instance spreading feature for softmax embedding.IEEE transactions on pattern analysis and machine intelligence, 44(2):924–939, 2020

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:50.103082Z

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Observation 1fee2e39-d766-4d61-9454-132168f2fa6c · outbound

This paper cites Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:49.890762Z

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Observation eabfbe99-7940-49cf-baef-2ab7124b9a8d · outbound

This paper cites Interpretable3d: An ad-hoc interpretable classifier for 3d point clouds.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Interpretable3d: An ad-hoc interpretable classifier for 3d point clouds

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:49.642637Z

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Observation cb78c39f-91f7-44d1-b5fa-cd721c3477d5 · outbound

This paper cites Learning deep features for discriminative localization.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Learning deep features for discriminative localization

Reference 40

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Observation f1a65098-1e24-42a9-bfda-9dc31ef84aee · outbound

This paper cites Grad-CAM: Why did you say that?.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Grad-CAM: Why did you say that?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:46.719029Z

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Observation aed1b878-5b52-4f51-9b81-61c2da228d45 · outbound

This paper cites Transformer interpretability beyond attention visualization.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Transformer interpretability beyond attention visualization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:46.800511Z

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Observation 1ead808d-a4f0-46da-9229-924a31784a47 · outbound

This paper cites Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study.PLoS medicine, 15(11):e1002683, 2018.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study.PLoS medicine, 15(11):e1002683, 2018

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:46.888366Z

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Observation 4780aee9-981d-4e36-b55f-8ecfce4bd1fd · outbound

This paper cites Dan: Deep-attention network for 3d shape recognition.IEEE Transactions on Image Processing, 30:4371–4383, 2021.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Dan: Deep-attention network for 3d shape recognition.IEEE Transactions on Image Processing, 30:4371–4383, 2021

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:49.416459Z

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Observation cb8edc03-3585-4cca-8f5f-594cf9b77b28 · outbound

This paper cites Multi-view classification using hybrid fusion and mutual distillation.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Multi-view classification using hybrid fusion and mutual distillation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:49.194797Z

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Observation fc49c1cd-4452-4cfc-af7e-95ef5fce5cff · outbound

This paper cites This looks like that: deep learning for interpretable image recognition.Advances in neural information processing systems, 32, 2019.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification This looks like that: deep learning for interpretable image recognition.Advances in neural information processing systems, 32, 2019

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:47.117662Z

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Observation 2e2f9eb7-bf89-4ea0-9529-764a6413e651 · outbound

This paper cites Protopformer: concentrating on prototypical parts in vision transformers for interpretable image recognition.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Protopformer: concentrating on prototypical parts in vision transformers for interpretable image recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:48.937014Z

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Observation 160ac9f8-b752-4dbe-bd4d-908daf3c4d5d · outbound

This paper cites Protopshare: Prototypical parts sharing for similarity discovery in interpretable image classification.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Protopshare: Prototypical parts sharing for similarity discovery in interpretable image classification

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:48.783836Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d10904cc-a3db-4e53-ac1f-6f56c96e81e8 · outbound

This paper cites Neural prototype trees for interpretable fine-grained image recognition.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Neural prototype trees for interpretable fine-grained image recognition

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:47.420310Z

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Observation f0caead9-f1c5-420e-815f-04051db1399d · outbound

This paper cites Lightspeed computation of optimal transport.Advances in neural information processing systems, 26:2292–2300, 2013.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Lightspeed computation of optimal transport.Advances in neural information processing systems, 26:2292–2300, 2013

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:48.589257Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b90d16d4-647a-48d9-a138-e853fb048c8a · outbound

This paper cites On efficient optimal transport: An analysis of greedy and accelerated mirror descent algorithms.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification On efficient optimal transport: An analysis of greedy and accelerated mirror descent algorithms

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:48.397811Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 44b3400c-e53c-470e-904b-5edb8d943c7c · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification 3d shapenets: A deep representation for volumetric shapes

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:48.237150Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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