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Paper Citation Record · LEDGER

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision

As of 17 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 0 inbound Pith citation observations for arXiv:2501.13066.

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

pith.paper-citation-record.v1
2501.13066 v1

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:32:15.242242Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 299 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c15445e-ebad-4833-bdd4-10c89ad6aa10 · outbound

This paper cites Human action recognition from various data modalities: A review.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human action recognition from various data modalities: A review

Reference 1

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Observation a13fe694-d23b-4116-9ca5-49ea4f07e70b · outbound

This paper cites Human action recognition: A taxonomy-based survey, updates, and opportunities.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human action recognition: A taxonomy-based survey, updates, and opportunities

Reference 2

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Observation 66c6d2c6-dbdc-4a47-b983-a01da0be0c8d · outbound

This paper cites Graph convolutional neural network for human action recognition: A comprehensive survey.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graph convolutional neural network for human action recognition: A comprehensive survey

Reference 3

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Observation 5d5b2177-be27-4d62-8b11-cbfd377b1f9a · outbound

This paper cites Vision Transformers for Action Recognition: A Survey.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Vision Transformers for Action Recognition: A Survey

Reference 4

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Observation 479c7116-314a-476d-867f-c8a8da9c614e · outbound

This paper cites A survey on video-based human action recognition: recent updates, datasets, challenges, and applications.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A survey on video-based human action recognition: recent updates, datasets, challenges, and applications

Reference 5

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source=pdf_text observed=2026-08-10T16:32:14.867580Z digest=sha256:c9429734a9e58ef2e3e0f16335ead54190723eb70e14cf4a2acfd171a5641c25

Observation 78ee2d7b-764f-4e8b-b57b-5780f1c3aa2c · outbound

This paper cites Human activity recognition: A survey.Procedia Computer Science, 155:698–703, 2019.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human activity recognition: A survey.Procedia Computer Science, 155:698–703, 2019

Reference 6

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Observation 6917e805-4b0a-4006-a092-6dcf68f8d7ef · outbound

This paper cites Human action recognition and prediction: A survey.International Journal of Computer Vision, 130(5):1366–1401, 2022.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human action recognition and prediction: A survey.International Journal of Computer Vision, 130(5):1366–1401, 2022

Reference 7

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Observation 0366efc3-70c7-4718-986e-7acc0da9201c · outbound

This paper cites A survey on intelligent human action recognition techniques.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A survey on intelligent human action recognition techniques

Reference 8

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Observation 05b208c8-697a-4256-8236-10283c538c9c · outbound

This paper cites A Comprehensive Study of Deep Video Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A Comprehensive Study of Deep Video Action Recognition

Reference 9

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Observation 3426b91a-7763-4b6b-9630-3119e03956e7 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Imagenet classification with deep convolutional neural networks

Reference 10

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Observation d642e703-75a6-44f9-a482-ff18301a9083 · outbound

This paper cites Action recognition and detection by combining motion and appearance features.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Action recognition and detection by combining motion and appearance features

Reference 11

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Observation 0d6fa790-ef6f-44f3-8fbd-5496615b2d4a · outbound

This paper cites Large-scale video classification with convolutional neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Large-scale video classification with convolutional neural networks

Reference 12

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Observation 6fab0d31-d091-416e-8863-d352bd1d472d · outbound

This paper cites A key volume mining deep framework for action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A key volume mining deep framework for action recognition

Reference 13

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Observation 64ef1cfa-f349-4d6f-bc51-492472d50df5 · outbound

This paper cites Temporal action localization in untrimmed videos via multi-stage cnns.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Temporal action localization in untrimmed videos via multi-stage cnns

Reference 14

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Observation fcc737f4-3366-47dc-858b-3e38464faf03 · outbound

This paper cites A review of human activity recognition methods.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A review of human activity recognition methods

Reference 15

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source=pdf_text observed=2026-08-10T16:32:14.908337Z digest=sha256:b66d212ae574b9490613cc79af7cd4a818b95583e3f7ad9902969069fa2760e4

Observation 4945c4f2-0005-4c73-b941-12311219acba · outbound

This paper cites Analysis and predictive modeling of body language behavior in dyadic interactions from multimodal interlocutor cues.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Analysis and predictive modeling of body language behavior in dyadic interactions from multimodal interlocutor cues

Reference 16

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Observation 087be92c-e920-42e9-9081-1901c7723764 · outbound

This paper cites Motion part regularization: Improving action recognition via trajectory selection.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Motion part regularization: Improving action recognition via trajectory selection

Reference 17

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Observation 371113fd-e29a-4237-8e86-270b83dbe46b · outbound

This paper cites Structured learning of human interactions in tv shows.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Structured learning of human interactions in tv shows

Reference 18

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Observation 55a421b4-c4c2-4f98-8c52-cc2a23c1e7fe · outbound

This paper cites Part-based motion descriptor image for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Part-based motion descriptor image for human action recognition

Reference 19

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Observation aae1d369-b02c-4fe1-aa3e-f33b916893d7 · outbound

This paper cites Don’t classify ratings of affect; rank them! IEEE transactions on affective computing, 5(3):314–326, 2014.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Don’t classify ratings of affect; rank them! IEEE transactions on affective computing, 5(3):314–326, 2014

Reference 20

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Observation d30a3074-760f-459f-9ef5-51e0b0734380 · outbound

This paper cites Discriminative latent models for recognizing contextual group activities.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Discriminative latent models for recognizing contextual group activities

Reference 21

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Observation b295e110-6db5-4da2-9be8-91c9f36bbe34 · outbound

This paper cites Generating Tennis Player by the Predicting Movement Using 2D Pose Estimation.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Generating Tennis Player by the Predicting Movement Using 2D Pose Estimation

Reference 22

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Observation 1858db22-acee-4b39-88df-137e82979a03 · outbound

This paper cites Pose2trajectory: Using transformers on body pose to predict tennis player’s trajectory.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Pose2trajectory: Using transformers on body pose to predict tennis player’s trajectory

Reference 23

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source=pdf_text observed=2026-08-10T16:32:14.939557Z digest=sha256:877ea00d1f5ae37fe5c5e50f77388041b8ac60b0d68b31d24f6764c3f1ad64c0

Observation fbe54013-d32b-41b5-b21a-9415c7ca8240 · outbound

This paper cites Deep learning based advanced spatio-temporal extraction model in medical sports rehabilitation for motion analysis and data processing.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Deep learning based advanced spatio-temporal extraction model in medical sports rehabilitation for motion analysis and data processing

Reference 24

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Observation 9b06392b-6ed6-4e36-a097-df644d024462 · outbound

This paper cites Two-stream convolutional networks for action recognition in videos.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Two-stream convolutional networks for action recognition in videos

Reference 25

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Observation a1967d74-4640-439a-8c88-f94d3f61faab · outbound

This paper cites Going deeper with two-stream ConvNets for action recognition in video surveillance.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Going deeper with two-stream ConvNets for action recognition in video surveillance

Reference 26

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source=pdf_text observed=2026-08-10T16:32:14.951279Z digest=sha256:7e2d758c07bb6b5bbf795f79184a45061aa07f6c2bf3e21e62e9196a9a15963d

Observation e13fc381-7186-4000-95bd-c5331c6585bc · outbound

This paper cites Distinct two-stream convolutional networks for human action recognition in videos using segment-based temporal modeling.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Distinct two-stream convolutional networks for human action recognition in videos using segment-based temporal modeling

Reference 27

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Observation 2d4b7008-bf4b-4772-beaf-ff7b79708a4f · outbound

This paper cites Action Recognition Based on Two-Stream Convolutional Networks With Long-Short-Term Spatiotemporal Features.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Action Recognition Based on Two-Stream Convolutional Networks With Long-Short-Term Spatiotemporal Features

Reference 28

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Observation 502220b6-612b-4375-96e5-67d5bb333cb4 · outbound

This paper cites Learning Long-Term Temporal Features With Deep Neural Networks for Human Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning Long-Term Temporal Features With Deep Neural Networks for Human Action Recognition

Reference 29

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source=pdf_text observed=2026-08-10T16:32:14.962413Z digest=sha256:726e90a79119a5b82f16ae1781d0f6c54fe745d18006e1930c1a3e96760122f9

Observation 07f23f85-2c8a-4f6d-97ca-f57dc377b6f4 · outbound

This paper cites Human action recognition using two-stream attention based LSTM networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human action recognition using two-stream attention based LSTM networks

Reference 30

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Observation 1eba7d48-2abf-413a-825e-c011ba8ee981 · outbound

This paper cites Human Action Recognition Based on Improved Two- Stream Convolution Network.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Human Action Recognition Based on Improved Two- Stream Convolution Network

Reference 31

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source=pdf_text observed=2026-08-10T16:32:14.970032Z digest=sha256:fa4adf195d947daba5e341601e40e33cc572bc425861eb8d95b5fe308b2db094

Observation f0d95b6c-80d1-4a13-ae1b-3b8e371b013f · outbound

This paper cites Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks

Reference 32

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Observation 38ab6f59-91b5-4aa2-b39f-4e0eb0b9a290 · outbound

This paper cites Two-stream flow-guided convolutional attention networks for action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Two-stream flow-guided convolutional attention networks for action recognition

Reference 33

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source=pdf_text observed=2026-08-10T16:32:14.977216Z digest=sha256:7722e69ec6ec776f57f58f54587c1cd3182bed569b13a136c0f9c3b98e0e9bbd

Observation 221b8831-5c80-4475-9dcb-9632412071a2 · outbound

This paper cites Convolutional two-stream network fusion for video action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Convolutional two-stream network fusion for video action recognition

Reference 34

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source=pdf_text observed=2026-08-10T16:32:14.980804Z digest=sha256:2af1a2634f07f78cd3f1c8943d2b17dd126d89b4370e4448696d9abda66da8a7

Observation 48651237-e08c-4f71-9970-9dc77096cca3 · outbound

This paper cites Unsupervised motion representation enhanced network for action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Unsupervised motion representation enhanced network for action recognition

Reference 35

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source=pdf_text observed=2026-08-10T16:32:14.984455Z digest=sha256:7362ff410434692b0bb5165f2c0c4dacb0a6e9a47e0307d23cc1a136a6bcdbc0

Observation 96c8dd36-40ae-4a23-9a8b-421f86f56f1e · outbound

This paper cites Two stream lstm: A deep fusion framework for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Two stream lstm: A deep fusion framework for human action recognition

Reference 36

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source=pdf_text observed=2026-08-10T16:32:14.987883Z digest=sha256:d63c7d6732b544f88a49a25fffbd7293f1391c9e487af954f81741482b9c6b90

Observation 8285d86e-add2-405b-b861-be1ec74d7c1a · outbound

This paper cites Learning from temporal gradient for semi-supervised action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning from temporal gradient for semi-supervised action recognition

Reference 37

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source=pdf_text observed=2026-08-10T16:32:14.991247Z digest=sha256:ef81c5b21f652b4d22cc25fd2ba913fb25041e9084a571ab54423d559c33613d

Observation fd5ac46e-ed3f-426d-8013-18cd7b608837 · outbound

This paper cites Deep residual learning for image recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Deep residual learning for image recognition

Reference 38

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Observation 694442f2-9be6-4136-988b-5b90f9671ce0 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 39

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Observation 1265e5fe-e630-4a1e-a629-64576f35bbb3 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 40

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Observation 3cdbb72b-9ff7-4d06-a9dc-d272f20a5660 · outbound

This paper cites Hearst, Susan T Dumais, Edgar Osuna, John Platt, and Bernhard Scholkopf.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Hearst, Susan T Dumais, Edgar Osuna, John Platt, and Bernhard Scholkopf

Reference 41

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Observation 006914c4-5c71-4e06-98b3-0f0e8e360a98 · outbound

This paper cites A novel recurrent hybrid network for feature fusion in action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A novel recurrent hybrid network for feature fusion in action recognition

Reference 42

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source=pdf_text observed=2026-08-10T16:32:15.011841Z digest=sha256:7a18779d3d8fd60082ef9422fff1f08dbe6be7bbf932c53bf6b141477ced8d67

Observation af855d72-9b56-4d77-9fbe-bdbae898665c · outbound

This paper cites Going deeper with convolutions.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Going deeper with convolutions

Reference 43

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source=pdf_text observed=2026-08-10T16:32:15.016042Z digest=sha256:cf67f52645056e3b3dc746f1fe333f43560154e7d2b3eac5765ba795bfabc666

Observation cf109c2b-8d55-44b2-a1cd-8e730af1ab6b · outbound

This paper cites Temporal segment networks: Towards good practices for deep action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Temporal segment networks: Towards good practices for deep action recognition

Reference 44

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source=pdf_text observed=2026-08-10T16:32:15.019888Z digest=sha256:26ae655a8c813efc95ea4e4e6a281e8da5f645e7dd6b2e939786f6f477066feb

Observation 1c1832da-91d1-4aac-9d24-62e0fbc1b576 · outbound

This paper cites Fsformer: Fast-slow transformer for video action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Fsformer: Fast-slow transformer for video action recognition

Reference 45

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source=pdf_text observed=2026-08-10T16:32:15.023638Z digest=sha256:0c563ee66c53b3cf61f6cdebd0cfdc65ded7e5479f38a45855178d84d0256aaa

Observation b3b56d9b-b085-4195-b9ab-69d6f1293329 · outbound

This paper cites Slowfast networks for video recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Slowfast networks for video recognition

Reference 46

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source=pdf_text observed=2026-08-10T16:32:15.027755Z digest=sha256:fc63ac8a0f120e3d7ef9d262bfb84d467d96359b7ee2e9185fcbdc48688d671f

Observation f9ec939b-9de7-45fd-8e89-bc633495c5b0 · outbound

This paper cites A novel two-stream transformer-based framework for multi-modality human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision A novel two-stream transformer-based framework for multi-modality human action recognition

Reference 47

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source=pdf_text observed=2026-08-10T16:32:15.031865Z digest=sha256:849e3f471e67b08a1ecb5695290561bb3b68e577d60a8f3d75f69ff9c3d99d7e

Observation 9a08ad0e-d9bf-4859-ba8f-f158b5efead7 · outbound

This paper cites Learning long-term temporal features with deep neural networks for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning long-term temporal features with deep neural networks for human action recognition

Reference 48

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source=pdf_text observed=2026-08-10T16:32:15.035728Z digest=sha256:9f2636c8b0d82ca7bcc501ce9254220c8b5c04b900a514d118c8987f93a144ff

Observation 6d01600f-87bd-4479-8c35-90b246ad66f7 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 49

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source=pdf_text observed=2026-08-10T16:32:15.039488Z digest=sha256:f4b8a8c4dd85e639ddea4d63d64ef5da6daa7aee1030dfbaa63aaa0308eba12a

Observation fb3b8262-ffe0-4af6-81b8-3f48aa417569 · outbound

This paper cites Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Reference 50

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source=pdf_text observed=2026-08-10T16:32:15.043853Z digest=sha256:79e070b354c736bff6e3be7b774b57f5c40bf7225572a04359548515277bb90a

Observation e80126a2-9528-4338-987a-be4295d4e8f1 · outbound

This paper cites 3d convolutional neural networks for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision 3d convolutional neural networks for human action recognition

Reference 51

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source=pdf_text observed=2026-08-10T16:32:15.048361Z digest=sha256:4f331eeb2a1824ad03d7909ea787b6d133019efd7b7e1ee958595140b5c10589

Observation d6bce175-18bf-45b5-a7ab-cbf2b78b5b37 · outbound

This paper cites Detecting human actions in surveillance videos.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Detecting human actions in surveillance videos

Reference 52

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source=pdf_text observed=2026-08-10T16:32:15.052471Z digest=sha256:9ed8af9580fcb41cbb8268f0b6dfeb47312f0ac5dbc5912313235cd6a4dbc795

Observation 71b1a12d-9431-48f3-a9a7-d59a673b8d56 · outbound

This paper cites Recognizing human actions: a local svm approach.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Recognizing human actions: a local svm approach

Reference 53

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source=pdf_text observed=2026-08-10T16:32:15.056562Z digest=sha256:b3fe3ecb48d8adc4a59219f6fccb3cb0fbf6e99a3253dec79763be5042c1a176

Observation 2f6481ab-83e8-41dc-afa9-6b58878a45f8 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning spatiotemporal features with 3d convolutional networks

Reference 54

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source=pdf_text observed=2026-08-10T16:32:15.060823Z digest=sha256:4f61f5d1484ceb58db9b13c5e9bf2b28d778e060415176693db5359faad815fc

Observation 1de64ce2-6268-48e2-8403-8a317a1d8403 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Quo vadis, action recognition? a new model and the kinetics dataset

Reference 55

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source=pdf_text observed=2026-08-10T16:32:15.064345Z digest=sha256:46051affd85762589e1b6ff81c3427af3eb6b571d7fbd7d1b55ef666b3abb138

Observation d91cd113-c562-42fa-b6b6-4a06b64731a1 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Imagenet: A large-scale hierarchical image database

Reference 56

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Observation 8a584ac0-34d8-4f09-8d6e-7813b3c1f0a0 · outbound

This paper cites Learning spatio-temporal representation with pseudo-3d residual networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning spatio-temporal representation with pseudo-3d residual networks

Reference 57

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source=pdf_text observed=2026-08-10T16:32:15.071707Z digest=sha256:b14bb60882cc47bfbf109528355669f76c616b9f200d5e6bd2a76ae36c2a1dda

Observation bef72ae3-ffbf-43e9-a4f3-ad767060b4d4 · outbound

This paper cites Non-local neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Non-local neural networks

Reference 58

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source=pdf_text observed=2026-08-10T16:32:15.075286Z digest=sha256:4011db1fdb27fb52966b63516bb3b000a6947bdc835352c8c0ab2fa80d12ccdd

Observation 4baf12b3-8907-4e4a-aefc-197ee96ede2d · outbound

This paper cites Eco: Efficient convolutional network for online video understanding.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Eco: Efficient convolutional network for online video understanding

Reference 59

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source=pdf_text observed=2026-08-10T16:32:15.079111Z digest=sha256:4a6d88893b53e6b8a7df5f7d1d9c14777d96cb71a3d9590bc9d558a6f4a3f299

Observation 579ac752-e06b-4b37-84da-a88145ce26a7 · outbound

This paper cites X3d: Expanding architectures for efficient video recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision X3d: Expanding architectures for efficient video recognition

Reference 60

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source=pdf_text observed=2026-08-10T16:32:15.082844Z digest=sha256:8bcc666d67aa79a47e728b80151560294f7e0221e2e8d69f33df686b308f8606

Observation 93f70f25-f493-47e7-8742-25661656c2eb · outbound

This paper cites 3d deformable convolution temporal reasoning network for action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision 3d deformable convolution temporal reasoning network for action recognition

Reference 61

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source=pdf_text observed=2026-08-10T16:32:15.086493Z digest=sha256:fe94300e454ec2bf3f227e1935a151e4598dd90c04c7ff4a8d8ddfb1412091b6

Observation ada102a0-6947-449c-9254-648448165d59 · outbound

This paper cites The graph neural network model.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision The graph neural network model

Reference 62

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Observation b36196d6-8df2-4d98-8e9a-8da46f8f7e21 · outbound

This paper cites Adaptive graph convolutional neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Adaptive graph convolutional neural networks

Reference 63

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source=pdf_text observed=2026-08-10T16:32:15.093990Z digest=sha256:9ebb0ee8e4a5051d93099361dadcddf0f7d54219242fbc518a40be92068939b6

Observation 3d076cca-0844-4c66-9a44-ba8c3b29d3e4 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Semi-Supervised Classification with Graph Convolutional Networks

Reference 64

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source=pdf_text observed=2026-08-10T16:32:15.097624Z digest=sha256:5614519cabe17989f8e4b01ad28a5da53b3a055225b4a53216c444d853548b29

Observation 0f257fa7-73fd-43c3-a176-b07371473bcf · outbound

This paper cites Graph Attention Networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graph Attention Networks

Reference 65

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source=pdf_text observed=2026-08-10T16:32:15.101775Z digest=sha256:992c2523768ff24933c9287a2b4142f5e2871a966a30a5e66762ddde80497127

Observation aaa1ebb9-f365-4d2b-b6a6-1006ee31def1 · outbound

This paper cites How Powerful are Graph Neural Networks?.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision How Powerful are Graph Neural Networks?

Reference 66

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source=pdf_text observed=2026-08-10T16:32:15.105490Z digest=sha256:aeca267ed34a07afc7c35481f8b6500e1e40df8a6615a90787abfc5edc02ffe2

Observation 765ff082-652d-49e5-9b07-c089e014e2e5 · outbound

This paper cites Graphsage-based traffic speed forecasting for segment network with sparse data.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graphsage-based traffic speed forecasting for segment network with sparse data

Reference 67

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source=pdf_text observed=2026-08-10T16:32:15.109337Z digest=sha256:7a2e70d4db953c3522a849667706dcee03589373d3313f42f9bf0b9a929d66c4

Observation c416f37d-4b20-4134-b48d-74c1d4890055 · outbound

This paper cites 3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision 3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs

Reference 68

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T16:32:15.112983Z digest=sha256:06d7ba49fb3b3ff933bb1ee61cd5ba656915c794fe90aef78b22d5bc39f3c185

Observation 62d9fd25-fae7-42cf-a081-998fcbf7d941 · outbound

This paper cites Learning graph convolutional network for skeleton- based human action recognition by neural searching.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning graph convolutional network for skeleton- based human action recognition by neural searching

Reference 69

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source=pdf_text observed=2026-08-10T16:32:15.116747Z digest=sha256:acb88545597e5d28f4a1d12fde28c8ca269f311b3827bc183330228bb282aa82

Observation 3d4c2723-e0e5-4cf8-b7f2-a6058cd4ffa0 · outbound

This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Spatial temporal graph convolutional networks for skeleton-based action recognition

Reference 70

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source=pdf_text observed=2026-08-10T16:32:15.120214Z digest=sha256:eff4a57d7dcda5a495a7745bbd3db0547f8ecd10e1807a238a9df5ad4a5a2dab

Observation bff6d5b4-dd8e-4a8c-a10c-05e5d235dcb3 · outbound

This paper cites Actional-structural graph convolu- tional networks for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Actional-structural graph convolu- tional networks for skeleton-based action recognition

Reference 71

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source=pdf_text observed=2026-08-10T16:32:15.124020Z digest=sha256:546922fa312f619841f03cb735b6dd2cd4801c7318c2829b3b70746bbae8829c

Observation e7bd302f-a110-4977-8f66-852dd5470c1b · outbound

This paper cites Disentangling and unifying graph convolutions for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Disentangling and unifying graph convolutions for skeleton-based action recognition

Reference 72

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source=pdf_text observed=2026-08-10T16:32:15.127809Z digest=sha256:9c84467011fbb631a750a037f9ca7d74c023146101b31fd4eb6b70ab1765682c

Observation 248fc9ad-7359-4067-8b00-bcedc947eae5 · outbound

This paper cites An attention enhanced graph convolutional lstm network for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision An attention enhanced graph convolutional lstm network for skeleton-based action recognition

Reference 73

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source=pdf_text observed=2026-08-10T16:32:15.131655Z digest=sha256:e2915b5fd7b8a7ef2c19c21718e66863199bb59b92cf94216e556727b3f860f5

Observation 8f2514ef-dc10-48cf-93c2-03e7c74b08d3 · outbound

This paper cites Skeleton-based action recognition by part-aware graph convolutional networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Skeleton-based action recognition by part-aware graph convolutional networks

Reference 74

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source=pdf_text observed=2026-08-10T16:32:15.135274Z digest=sha256:77cc1e78b71f8515d69594228f9545a2684210ebc8b09dab260133682f5372b1

Observation 2d5de48a-0d42-4012-afa5-830a4402c6fa · outbound

This paper cites Generative Action Description Prompts for Skeleton-based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Generative Action Description Prompts for Skeleton-based Action Recognition

Reference 75

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source=pdf_text observed=2026-08-10T16:32:15.139131Z digest=sha256:a71d51c54797a417e41ec06402ad78a3721420a6852d86d8246073c42cd08bac

Observation ad5f850f-3562-44a8-a039-f80e1070ad4e · outbound

This paper cites Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition

Reference 76

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source=pdf_text observed=2026-08-10T16:32:15.143322Z digest=sha256:d03ec0093f07e9d94d8c6545d509b3522febb7b56a72248e7c1e768a49dafbf0

Observation c4b226da-5d2c-4f12-a16f-6ddeae3d9520 · outbound

This paper cites Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition

Reference 77

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Observation 4f29cd74-197f-4878-b05a-508a10b31fc4 · outbound

This paper cites DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition

Reference 78

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Observation a906fd36-919d-45c8-b820-a93873abf7f7 · outbound

This paper cites Infogcn: Representation learning for human skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Infogcn: Representation learning for human skeleton-based action recognition

Reference 79

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source=pdf_text observed=2026-08-10T16:32:15.155752Z digest=sha256:2545dd7efc8ec62b534edd36eff314c7aeade8b4a874c8500409aebc947ea44d

Observation e82b7616-ffe9-4188-9c8f-6b20cb44fbc4 · outbound

This paper cites Graph Contrastive Learning for Skeleton-based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graph Contrastive Learning for Skeleton-based Action Recognition

Reference 80

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Observation fd96fbdc-22a7-4529-b41c-6db41bb9200e · outbound

This paper cites Spatial–temporal dynamic graph attention network for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Spatial–temporal dynamic graph attention network for skeleton-based action recognition

Reference 81

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source=pdf_text observed=2026-08-10T16:32:15.163569Z digest=sha256:aed210a2c028265f9fee271544d1c99ce7db003e8223805bcac3d311b2aab012

Observation 60f0e876-972f-4828-96c6-42529abad5ec · outbound

This paper cites PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition

Reference 82

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0ba568af-5747-4338-b709-975896206bf8 · outbound

This paper cites Learning discriminative representations for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning discriminative representations for skeleton-based action recognition

Reference 83

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Observation 0e416f82-b135-43ab-8a6d-51e06889471b · outbound

This paper cites Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition

Reference 84

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T16:32:15.177860Z digest=sha256:687e91ccb0a951225e05b58bf5bc569a1c9bcafa979a8403d7eaec099306d522

Observation 2398489a-4e61-475e-be77-ec8cff098111 · outbound

This paper cites Skeleton-based Action Recognition via Temporal-Channel Aggregation.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Skeleton-based Action Recognition via Temporal-Channel Aggregation

Reference 85

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source=pdf_text observed=2026-08-10T16:32:15.181938Z digest=sha256:b75301ad3f08b17b16c657e82a56910a3dd9ec39d5bedb7ea590366c2cbddf09

Observation d0d1a087-645a-4c7f-a5c4-62e7530dfb5b · outbound

This paper cites Temporal decoupling graph convolutional network for skeleton-based gesture recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Temporal decoupling graph convolutional network for skeleton-based gesture recognition

Reference 86

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source=pdf_text observed=2026-08-10T16:32:15.186014Z digest=sha256:a69f57192ebee817db6b3ab1af8efd5bbd8b195e3754ab266cd0cef93a9b6751

Observation e6831011-386b-4b99-a6fd-42e69dc200fc · outbound

This paper cites Mict: Mixed 3d/2d convolutional tube for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Mict: Mixed 3d/2d convolutional tube for human action recognition

Reference 87

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Observation d39f7466-2cf2-459e-8c9d-c8d167a82202 · outbound

This paper cites Stacked spatio-temporal graph convolutional networks for action segmentation.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Stacked spatio-temporal graph convolutional networks for action segmentation

Reference 88

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source=pdf_text observed=2026-08-10T16:32:15.194144Z digest=sha256:16bcac8d3e99138679506567b45638237902d996b8f218322849394d4ef66cf1

Observation 5b847834-a033-4b6b-ba05-f1e3102e32b7 · outbound

This paper cites Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction

Reference 89

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source=pdf_text observed=2026-08-10T16:32:15.197892Z digest=sha256:8734febac724c737c31dfd76a1cfb667fee43622c12b3f1b60d72ffd0a00c672

Observation a547197a-5645-47ab-8e96-2e65be51661e · outbound

This paper cites Two-stream adaptive graph convolutional networks for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Two-stream adaptive graph convolutional networks for skeleton-based action recognition

Reference 90

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Observation 112a946d-30c1-4441-9d57-ea42cbf36a87 · outbound

This paper cites Edge and node graph convolutional neural network for human action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Edge and node graph convolutional neural network for human action recognition

Reference 91

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source=pdf_text observed=2026-08-10T16:32:15.205236Z digest=sha256:ae00f4631216fd6e21a234472d8c26ba78cc339630389c59c8a30aadb75e17f8

Observation 11e0ebf2-7481-47ae-b79f-d8ed655c63a8 · outbound

This paper cites Improving action recognition with the graph- neural-network-based interaction reasoning.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Improving action recognition with the graph- neural-network-based interaction reasoning

Reference 92

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source=pdf_text observed=2026-08-10T16:32:15.209228Z digest=sha256:66da9ba6e7df607009658c6ac34b6351b0f15e7346db730de7b27603c25bc332

Observation fd505abf-befb-4710-b842-e342ad9d22a8 · outbound

This paper cites Skeleton-based action recognition with directed graph neural networks.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Skeleton-based action recognition with directed graph neural networks

Reference 93

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source=pdf_text observed=2026-08-10T16:32:15.213250Z digest=sha256:e04af2e799601191ae10854593dc7b4b044b5ea648f3a1fb0a88e737aaa58adb

Observation cca27e29-ae2f-467e-8ccd-c08b6449250e · outbound

This paper cites Graph interaction networks for relation transfer in human activity videos.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Graph interaction networks for relation transfer in human activity videos

Reference 94

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source=pdf_text observed=2026-08-10T16:32:15.217050Z digest=sha256:ea984dc564c883d45326a74d4e87966299ad92a28d813da1504753efaaf152f5

Observation 7365904b-3a40-4a3e-867f-8dbbdaa28e33 · outbound

This paper cites I know the relationships: Zero-shot action recognition via two-stream graph convolutional networks and knowledge graphs.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision I know the relationships: Zero-shot action recognition via two-stream graph convolutional networks and knowledge graphs

Reference 95

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source=pdf_text observed=2026-08-10T16:32:15.220946Z digest=sha256:48b46851b1b1396b5c524ca5a0ec69658e80c35a6be00cf2e5e00428f9202aa5

Observation 10b29226-e65d-4d42-89ab-0fe8adb6b05f · outbound

This paper cites Learning to model relationships for zero-shot video classifica- tion.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Learning to model relationships for zero-shot video classifica- tion

Reference 96

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source=pdf_text observed=2026-08-10T16:32:15.224784Z digest=sha256:49befba0b4a6fee3d02e4ed8a8cd02ced2ed2d3cb1ab734ded6303891fae7a04

Observation decfecb7-5def-4ccc-b6a8-1bd131ff9d50 · outbound

This paper cites Deep progressive reinforcement learning for skeleton-based action recognition.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Deep progressive reinforcement learning for skeleton-based action recognition

Reference 97

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source=pdf_text observed=2026-08-10T16:32:15.228720Z digest=sha256:1d442194b38644fd41fcd9d5602832be83ca77eff82486b313d51c8fc3583bf9

Observation cfc32e2d-9849-40cf-a73e-d4a04198a711 · outbound

This paper cites Skeleton-based action recognition using multi-scale and multi-stream improved graph convolutional network.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Skeleton-based action recognition using multi-scale and multi-stream improved graph convolutional network

Reference 98

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source=pdf_text observed=2026-08-10T16:32:15.234669Z digest=sha256:0049dc588276a5eea7f40b9301d43f7363a65ba1a8dd47060cbb10c7dd201d4f

Observation 852b8c3c-2dad-490f-a8a6-99e6427fc1e5 · outbound

This paper cites Aggarwal and Q.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Aggarwal and Q

Reference 99

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source=pdf_text observed=2026-08-10T16:32:15.238567Z digest=sha256:64714687581a44d304bce773d4648988b69eb5b1a0c23022b48417072c1c27f7

Observation dfc7c30e-c028-4143-a64e-95bc1799f503 · outbound

This paper cites Horn and Brian G.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision Horn and Brian G

Reference 100

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source=pdf_text observed=2026-08-10T16:32:15.242242Z digest=sha256:bdde9db77aa3d31625f18594b8732b0f72d47809e8d85d73a3a4acb9cb50850e

Pith citing papers

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