Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection | Paper Citation Record

Observation 33d75e40-bde4-4738-98bd-62889b830dc2 · outbound

This paper cites Inceptive event time- surfaces for object classification using neuromorphic cam- eras.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Inceptive event time- surfaces for object classification using neuromorphic cam- eras

Reference 1

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Observation 7ec0bfc3-cf43-45cc-83e8-b1558fe6c948 · outbound

This paper cites Wes Baldwin, Mohammed Almatrafi, Vijayan Asari, and Keigo Hirakawa.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Wes Baldwin, Mohammed Almatrafi, Vijayan Asari, and Keigo Hirakawa

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.988465Z

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Observation 8ac5fe96-5954-45a4-8d2e-0c673c784f3c · outbound

This paper cites Spiking-fer: spiking neu- ral network for facial expression recognition with event cam- eras.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Spiking-fer: spiking neu- ral network for facial expression recognition with event cam- eras

Reference 3

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This paper cites Graph-based object classification for neuromor- phic vision sensing.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Graph-based object classification for neuromor- phic vision sensing

Reference 4

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Observation 21167478-caef-42ac-bb6d-1053c1da8891 · outbound

This paper cites Dynamic graph cnn for event-camera based gesture recognition.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Dynamic graph cnn for event-camera based gesture recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.960486Z

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Observation 8905f9a4-6c53-4282-b58f-b439fbb01650 · outbound

This paper cites Sign language gesture recognition and classifi- cation based on event camera with spiking neural networks.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Sign language gesture recognition and classifi- cation based on event camera with spiking neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.951236Z

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Observation 2fa05e9a-57d9-4ef6-afe2-51e17735dc32 · outbound

This paper cites Evaluating noise fil- tering for event-based asynchronous change detection im- age sensors.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Evaluating noise fil- tering for event-based asynchronous change detection im- age sensors

Reference 7

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Observation 1de92d10-09c4-47f5-80cb-839ad005ff91 · outbound

This paper cites Neuromorphic lip-reading with signed spiking gated recurrent units.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Neuromorphic lip-reading with signed spiking gated recurrent units

Reference 8

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Observation 58beb742-1c79-48a8-b536-f1c383fdaacc · outbound

This paper cites Eventtransact: A video transformer-based framework for event-camera based action recognition.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Eventtransact: A video transformer-based framework for event-camera based action recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.923878Z

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Observation 1398676e-4a89-4499-a297-609b114cf05b · outbound

This paper cites Frame-free dynamic digital vision.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Frame-free dynamic digital vision

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.914424Z

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Observation c7d3b675-24f2-4e40-aeda-461b288a0ba6 · outbound

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

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Imagenet: A large-scale hierarchical image database

Reference 11

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Observation 903d3dff-b855-497e-8b82-0a680820a1fd · outbound

This paper cites A voxel graph cnn for object classification with event cameras.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection A voxel graph cnn for object classification with event cameras

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.898791Z

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Observation 4dd25916-01cd-4697-84f8-89ecd4a90556 · outbound

This paper cites Led: A large-scale real-world paired dataset for event camera denoising.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Led: A large-scale real-world paired dataset for event camera denoising

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.890034Z

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Observation 9d24d2e4-4dc0-41e4-b4f7-e47e3b3c86bd · outbound

This paper cites Aednet: Asynchronous event denoising with spatial-temporal correlation among irregular data.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Aednet: Asynchronous event denoising with spatial-temporal correlation among irregular data

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.880755Z

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This paper cites Spikingjelly: An open-source ma- chine learning infrastructure platform for spike-based intel- ligence.Science Advances, 9(40):eadi1480, 2023.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Spikingjelly: An open-source ma- chine learning infrastructure platform for spike-based intel- ligence.Science Advances, 9(40):eadi1480, 2023

Reference 15

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Observation 16b0a312-cbc0-479d-82b3-045ecead0c0f · outbound

This paper cites Fergus, and P.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Fergus, and P

Reference 16

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Observation 6ffe6158-117a-41d1-aa12-6bfd49d05061 · outbound

This paper cites an unresolved cited work.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:57:17.853558Z

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Observation 69b795a8-3958-4015-bb83-3f4bff1a6e8c · outbound

This paper cites Splinecnn: Fast geometric deep learning with continuous b-spline kernels.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Splinecnn: Fast geometric deep learning with continuous b-spline kernels

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.844700Z

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Observation bd436121-c769-4193-9779-8128c390fbcc · outbound

This paper cites an unresolved cited work.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:57:17.834461Z

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Observation 3e33109d-e163-4893-aae8-939400320e91 · outbound

This paper cites Low latency auto- motive vision with event cameras.Nature, 2024.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Low latency auto- motive vision with event cameras.Nature, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.824274Z

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Observation f8c5e92b-acdc-495e-a5c1-468225ba3462 · outbound

This paper cites End-to-end learning of repre- sentations for asynchronous event-based data.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection End-to-end learning of repre- sentations for asynchronous event-based data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.813929Z

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Observation 78e2386d-b666-47e7-9997-c130b5022196 · outbound

This paper cites Recurrent vision transformers for object detection with event cameras.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Recurrent vision transformers for object detection with event cameras

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.804172Z

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Observation 8e1a3550-813f-491e-bb83-a9001df2983b · outbound

This paper cites Shining light on the dvs pixel: A tutorial and discussion about biasing 9 and optimization.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Shining light on the dvs pixel: A tutorial and discussion about biasing 9 and optimization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.794519Z

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Observation 4b273ca7-de8b-43d0-9c5c-8a30cb9fad83 · outbound

This paper cites Eventdrop: Data augmentation for event-based learning.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Eventdrop: Data augmentation for event-based learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.784979Z

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Observation 80965703-3a64-4dc6-bd93-024b5715e3ce · outbound

This paper cites Low Cost and Latency Event Camera Background Activity Denoising.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 45(1): 785–795, 2023.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Low Cost and Latency Event Camera Background Activity Denoising.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 45(1): 785–795, 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.774357Z

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Observation 99159e58-c0d5-4888-a018-3212c76e2de6 · outbound

This paper cites Deep residual learning for image recognition.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Deep residual learning for image recognition

Reference 26

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Observation dabe62f5-3c5c-4c56-a8f4-7a79daacbef3 · outbound

This paper cites v2e: From video frames to realistic dvs events.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection v2e: From video frames to realistic dvs events

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.757576Z

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Observation 9b572fd4-b250-4272-88b2-ac9263829931 · outbound

This paper cites Data Augmentation by Pairing Samples for Images Classification.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Data Augmentation by Pairing Samples for Images Classification

Reference 28

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Observation 2912597a-f8f4-4b2d-8c38-aa09220e06e8 · outbound

This paper cites Token-based spatiotemporal representation of the events.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Token-based spatiotemporal representation of the events

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.747763Z

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Observation a83a6611-f437-4b7b-992e-b305b44c182a · outbound

This paper cites N-imagenet: Towards robust, fine-grained object recognition with event cameras.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection N-imagenet: Towards robust, fine-grained object recognition with event cameras

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.738300Z

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Observation b2dbb6dc-b6a3-426d-a83c-f2c727fc1d51 · outbound

This paper cites Interpolation-based event visual data filtering algorithms.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Interpolation-based event visual data filtering algorithms

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.728839Z

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Observation bbc7bf2c-fa2a-423a-b548-1b5ead276cbf · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Imagenet classification with deep convolutional neural net- works

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.719521Z

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Observation 048fb756-9e3b-4a0d-ad21-deeea6b1c10d · outbound

This paper cites Graph-based asyn- chronous event processing for rapid object recognition.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Graph-based asyn- chronous event processing for rapid object recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.708672Z

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Observation af54fbba-a5e6-44ae-86b8-ba532ea978be · outbound

This paper cites Neuromorphic data augmentation for training spiking neural networks.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Neuromorphic data augmentation for training spiking neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.698432Z

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Observation 8ef7ddf0-0ae8-4d93-b22e-6d34496c4557 · outbound

This paper cites A 128×128 120 db 15µs latency asynchronous temporal con- trast vision sensor.IEEE Journal of Solid-State Circuits, 43 (2):566–576, 2008.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection A 128×128 120 db 15µs latency asynchronous temporal con- trast vision sensor.IEEE Journal of Solid-State Circuits, 43 (2):566–576, 2008

Reference 35

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Observation d08a6235-bdfd-4745-be24-652f96e334de · outbound

This paper cites Design of a spatiotemporal correlation filter for event-based sensors.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Design of a spatiotemporal correlation filter for event-based sensors

Reference 36

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Observation a82e26e5-388a-4ea2-a0e6-0eae6eb42bc9 · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Decoupled Weight Decay Regularization

Reference 37

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Observation ba04315a-fe43-472a-9061-3e5b14bcb543 · outbound

This paper cites Event-based vision meets deep learning on steering prediction for self-driving cars.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Event-based vision meets deep learning on steering prediction for self-driving cars

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.675546Z

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Observation 06af5a81-4315-41dc-ae4c-824ae2460db4 · outbound

This paper cites Event-based asynchronous sparse con- volutional networks.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Event-based asynchronous sparse con- volutional networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.665475Z

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Observation d472ef25-6b47-4a6c-a477-62d61dba3c1a · outbound

This paper cites Event-based moving object detection and tracking.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Event-based moving object detection and tracking

Reference 40

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Observation f288c1e4-fd7b-4b34-965f-7a1d8fb423b6 · outbound

This paper cites Fast trajectory end-point pre- diction with event cameras for reactive robot control.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Fast trajectory end-point pre- diction with event cameras for reactive robot control

Reference 41

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Observation e7d75aaf-9d98-461f-81a9-7ee617562c74 · outbound

This paper cites On-Device Event Filtering with Binary Neural Networks for Pedestrian Detection Using Neuromorphic Vision Sensors.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection On-Device Event Filtering with Binary Neural Networks for Pedestrian Detection Using Neuromorphic Vision Sensors

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.643573Z

Source-reported events for the cited work

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Observation e42a9544-704d-41c2-a6c0-49b49a82438b · outbound

This paper cites Converting static image datasets to spiking neuromorphic datasets using saccades.Frontiers in neuro- science, 9:437, 2015.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Converting static image datasets to spiking neuromorphic datasets using saccades.Frontiers in neuro- science, 9:437, 2015

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.634523Z

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Observation 448eeb6d-5c7e-4ff3-8c97-58c722623986 · outbound

This paper cites A Noise Filtering Algorithm for Event-Based Asynchronous Change Detection Image Sensors on TrueNorth and Its Im- plementation on TrueNorth.Frontiers in Neuroscience, 12: 118, 2018.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection A Noise Filtering Algorithm for Event-Based Asynchronous Change Detection Image Sensors on TrueNorth and Its Im- plementation on TrueNorth.Frontiers in Neuroscience, 12: 118, 2018

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.626032Z

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Observation 6ed25002-c5e2-40c0-9d61-e5f633906295 · outbound

This paper cites Automatic differentiation in pytorch.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Automatic differentiation in pytorch

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.616823Z

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Observation 06788414-2640-4e90-a63e-fa5704e8e5b6 · outbound

This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection The Effectiveness of Data Augmentation in Image Classification using Deep Learning

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Observation 0a0adf23-f987-4367-82e0-34002a25d7c7 · outbound

This paper cites Rios-Navarro, S.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Rios-Navarro, S

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.607480Z

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Observation 6b511fd8-08b4-4fd8-a057-bd115c600c10 · outbound

This paper cites an unresolved cited work.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Unresolved cited work

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Observation 43238b0f-755f-413a-9134-f9f4c31cc8c7 · outbound

This paper cites Aegnn: Asynchronous event-based graph neural networks.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Aegnn: Asynchronous event-based graph neural networks

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.588202Z

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Observation 49ad3af7-af26-4747-9814-bd145b5e6e7d · outbound

This paper cites Grad-cam: visual explanations from deep networks via gradient-based localization.International journal of com- puter vision, 128:336–359, 2020.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Grad-cam: visual explanations from deep networks via gradient-based localization.International journal of com- puter vision, 128:336–359, 2020

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.578431Z

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

Observation e553bf14-5208-471b-b060-bb931e2d0aa6 · outbound

This paper cites Eventmix: An efficient data augmentation strategy for event-based learning.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Eventmix: An efficient data augmentation strategy for event-based learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.569806Z

Source-reported events for the cited work

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

Observation ca20cb31-455f-4e0b-8696-df7741306c3c · outbound

This paper cites Hats: Histograms of aver- aged time surfaces for robust event-based object classifica- tion.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Hats: Histograms of aver- aged time surfaces for robust event-based object classifica- tion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.561095Z

Source-reported events for the cited work

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

Observation d5ee874a-5567-4092-b373-44410b91e2c3 · outbound

This paper cites An event- driven classifier for spiking neural networks fed with syn- thetic or dynamic vision sensor data.Frontiers in neuro- science, 11:350, 2017.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection An event- driven classifier for spiking neural networks fed with syn- thetic or dynamic vision sensor data.Frontiers in neuro- science, 11:350, 2017

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.552445Z

Source-reported events for the cited work

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

Observation d3a957c7-bde3-42fc-a333-7b7b94f7b659 · outbound

This paper cites EventRPG: Event data augmentation with relevance propagation guidance.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection EventRPG: Event data augmentation with relevance propagation guidance

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.543578Z

Source-reported events for the cited work

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

Observation db0d7046-31be-44e7-9ec3-36a0c46ce3ed · outbound

This paper cites Maxvit: Multi-axis vision transformer.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Maxvit: Multi-axis vision transformer

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.534506Z

Source-reported events for the cited work

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

Observation d56e8b1b-c4e7-46e6-96ef-bc424dfb5201 · outbound

This paper cites Matching networks for one shot learning.Ad- vances in neural information processing systems, 29, 2016.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Matching networks for one shot learning.Ad- vances in neural information processing systems, 29, 2016

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.525479Z

Source-reported events for the cited work

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

Observation 2b2c5816-f31f-451e-9748-62f7e70fb1f7 · outbound

This paper cites An SNN-Based and Neuromorphic-Hardware-Implementable Noise Filter with Self-adaptive Time Window for Event- Based Vision Sensor.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection An SNN-Based and Neuromorphic-Hardware-Implementable Noise Filter with Self-adaptive Time Window for Event- Based Vision Sensor

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.516408Z

Source-reported events for the cited work

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

Observation 5376188e-8ea1-4166-9c83-cef1fa718e5b · outbound

This paper cites Event voxel set transformer for spatiotemporal representation learning on event streams.IEEE Transactions on Circuits and Systems for Video Technology, 2024.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Event voxel set transformer for spatiotemporal representation learning on event streams.IEEE Transactions on Circuits and Systems for Video Technology, 2024

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.507020Z

Source-reported events for the cited work

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

Observation ff5a177b-0f20-4788-b006-f8e7150913dc · outbound

This paper cites De- noising for dynamic vision sensor based on augmented spa- tiotemporal correlation.IEEE Transactions on Circuits and Systems for Video Technology, 2023.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection De- noising for dynamic vision sensor based on augmented spa- tiotemporal correlation.IEEE Transactions on Circuits and Systems for Video Technology, 2023

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.498170Z

Source-reported events for the cited work

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

Observation 9cea9414-7b6b-4609-bce0-b51fa2c1f1b3 · outbound

This paper cites Image Data Augmentation for Deep Learning: A Survey.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Image Data Augmentation for Deep Learning: A Survey

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T10:57:17.322190Z

Source-reported events for the cited work

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Observation ea8b8477-91c1-435c-8521-ad073f1e6e2f · outbound

This paper cites Temporal-wise at- tention spiking neural networks for event streams classifica- tion.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Temporal-wise at- tention spiking neural networks for event streams classifica- tion

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.488930Z

Source-reported events for the cited work

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

Observation d8fdef6b-4ac8-4793-b5d4-f57d1fe41d7f · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection mixup: Beyond Empirical Risk Minimization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T10:57:17.328113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 290c3885-ee2b-401d-99df-aacf1f2bf301 · outbound

This paper cites an unresolved cited work.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:57:17.479439Z

Source-reported events for the cited work

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

Observation 51a3378f-9e85-4797-8b41-f10b1dbe7d1e · outbound

This paper cites The results are presented in Figure.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection The results are presented in Figure

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.469875Z

Source-reported events for the cited work

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

Observation bbc5b465-c5f7-4652-8ed9-6a356a9d6de4 · outbound

This paper cites Initially, the True Positive Rate (TPR) and the False Pos- itive Rate (FPR) were evaluated for various filter thresholds.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Initially, the True Positive Rate (TPR) and the False Pos- itive Rate (FPR) were evaluated for various filter thresholds

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.460400Z

Source-reported events for the cited work

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

Observation e877e153-95cc-4a0c-916a-8c01ec1c86da · outbound

This paper cites an unresolved cited work.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:57:17.450943Z

Source-reported events for the cited work

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

Observation 01426f33-4016-4d90-bb50-f70a58c6ba9a · outbound

This paper cites an unresolved cited work.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:57:17.440730Z

Source-reported events for the cited work

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

Observation 0ea164bb-6161-40e2-bf79-35dd0139ec99 · outbound

This paper cites The average and std values are presented in Table 2.

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection The average and std values are presented in Table 2

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:57:17.430659Z

Source-reported events for the cited work

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

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