Very Deep Convolutional Networks for Large-Scale Image Recognition | Paper Citation Record

Observation fe959f90-9515-4a64-be97-d5b6c23d92f1 · inbound

U-Net: Convolutional Networks for Biomedical Image Segmentation cites this paper.

U-Net: Convolutional Networks for Biomedical Image Segmentation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-09T03:34:05.136581Z

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Observation 330fa503-e2db-4800-813a-4d3e31092150 · inbound

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop cites this paper.

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-13T16:37:18.899296Z

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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding cites this paper.

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T15:59:28.574338Z

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Observation 64eb0e33-fc55-4b5f-a650-bd799515e87e · inbound

Density estimation using Real NVP cites this paper.

Density estimation using Real NVP Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-11T23:56:07.243353Z

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Observation eea27d21-f68b-4544-8056-a43bae21772c · inbound

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima cites this paper.

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-13T10:58:48.562382Z

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Observation 7e57a924-2555-41c6-bb90-44d70da7b47b · inbound

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications cites this paper.

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-11T02:50:40.281302Z

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Observation 53135387-5f2f-49c1-92e6-a5b9a626eb5c · inbound

Mixed Precision Training cites this paper.

Mixed Precision Training Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-12T10:47:18.524841Z

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Observation c786bfb2-dccc-401a-9a93-ad0204d5a5f6 · inbound

Stereo Magnification: Learning View Synthesis using Multiplane Images cites this paper.

Stereo Magnification: Learning View Synthesis using Multiplane Images Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 11

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Observation 8a1100cf-ffe3-4290-a8f4-89bd2036ce96 · inbound

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles cites this paper.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:37:07.324955Z

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Observation 0054a551-5290-447d-9c95-a9c574b14922 · inbound

Deep Learning in the Automotive Industry: Recent Advances and Application Examples cites this paper.

Deep Learning in the Automotive Industry: Recent Advances and Application Examples Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:31:10.276606Z

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Observation d90ca3ef-6145-4582-a2b1-e9b82f844021 · inbound

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations cites this paper.

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-25T18:51:09.003568Z

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Observation ec459d0d-1465-4ed4-922f-19404ff40aa3 · inbound

Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars cites this paper.

Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-25T18:36:07.986099Z

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Observation 4c52e7be-6e05-4b8e-b69f-c9015ae3f870 · inbound

Dense Scale Network for Crowd Counting cites this paper.

Dense Scale Network for Crowd Counting Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-25T18:06:07.215076Z

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Observation 498766ca-5b76-48d2-97c4-c698d5928d27 · inbound

Cascade R-CNN: High Quality Object Detection and Instance Segmentation cites this paper.

Cascade R-CNN: High Quality Object Detection and Instance Segmentation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:57:06.150960Z

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Observation 30ffc805-9bc1-4fb8-966a-9cfb79b99437 · inbound

Saliency Detection With Fully Convolutional Neural Network cites this paper.

Saliency Detection With Fully Convolutional Neural Network Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:56:06.833708Z

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Observation 385b8008-e22b-4f21-8626-008b48f8631a · inbound

Deep Exemplar-based Video Colorization cites this paper.

Deep Exemplar-based Video Colorization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:46:06.013259Z

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Observation 277aa93e-88ea-4d78-90ef-15fff92f9e96 · inbound

Deep Learning in a Computational Model for Conceptual Shifts in a Co-Creative Design System cites this paper.

Deep Learning in a Computational Model for Conceptual Shifts in a Co-Creative Design System Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T17:01:04.362520Z

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Observation c31f8182-8f25-4bf1-a00f-1c2c95e17633 · inbound

Efficient Multi-Domain Network Learning by Covariance Normalization cites this paper.

Efficient Multi-Domain Network Learning by Covariance Normalization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:11:04.369539Z

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Observation 42e50261-2530-43c5-ae2e-6b31e76321dd · inbound

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection cites this paper.

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:11:04.260748Z

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Observation 1f69530e-b32b-4326-a78f-9427323616ea · inbound

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning cites this paper.

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-25T17:07:05.409598Z

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Observation 0ea00d0c-931f-440d-a77a-44576bce9315 · inbound

Water Preservation in Soan River Basin using Deep Learning Techniques cites this paper.

Water Preservation in Soan River Basin using Deep Learning Techniques Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:25:58.971613Z

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Observation 271a284b-567e-406e-a014-bdf5adfe9018 · inbound

Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics cites this paper.

Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:25:59.065296Z

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Observation e2c0d1aa-2bd3-4ef8-a53b-ccde2e3cb00e · inbound

One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers cites this paper.

One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:35:58.843835Z

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Observation aed4eeb7-673b-4c56-8f8d-43c567f19db3 · inbound

A Utility-Preserving GAN for Face Obscuration cites this paper.

A Utility-Preserving GAN for Face Obscuration Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-25T14:35:57.313334Z

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Observation 5a941de6-708d-4371-93a1-6c066eb810b0 · inbound

Place recognition in gardens by learning visual representations: data set and benchmark analysis cites this paper.

Place recognition in gardens by learning visual representations: data set and benchmark analysis Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-25T13:50:53.732974Z

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Observation 2eb0b228-46ac-44e7-8869-b2ddf76533e2 · inbound

Teaching DNNs to design fast fashion cites this paper.

Teaching DNNs to design fast fashion Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:15:59.038959Z

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Observation dbc4a64d-539b-4d3a-8b2e-914d6e5de483 · inbound

A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning cites this paper.

A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:45:59.373697Z

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Observation 8416953d-bd7a-4a57-9c51-4c2b54a65781 · inbound

An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data cites this paper.

An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T12:40:48.412498Z

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Observation 3d5d87b8-ee20-4fdd-bb3e-dc70cea40eb1 · inbound

X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks cites this paper.

X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-25T12:25:48.051891Z

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Observation 88314e0b-18fa-4de3-9241-2fdef71ba0a7 · inbound

Mechanisms of Artistic Creativity in Deep Learning Neural Networks cites this paper.

Mechanisms of Artistic Creativity in Deep Learning Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T12:20:47.551541Z

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Observation 84ad0af7-a4cb-40a6-9c1f-25422ecc01df · inbound

ICDAR 2019 Competition on Scene Text Visual Question Answering cites this paper.

ICDAR 2019 Competition on Scene Text Visual Question Answering Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-25T12:16:56.501590Z

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Observation d0882f2d-b91c-4915-a8a4-d3d9311866ee · inbound

Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras cites this paper.

Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-25T12:25:48.114715Z

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Observation 301ee40d-7300-453e-bfb6-944bcdd1950f · inbound

Social Media-based User Embedding: A Literature Review cites this paper.

Social Media-based User Embedding: A Literature Review Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:30:58.775070Z

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Observation a2b0254a-f20e-4943-b8ab-c05f3b3fc759 · inbound

DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks cites this paper.

DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T11:40:44.502228Z

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Observation f4d9a73b-b471-4b1c-8fff-23dfe726b6d7 · inbound

Brno Mobile OCR Dataset cites this paper.

Brno Mobile OCR Dataset Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-25T11:10:40.314867Z

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Observation 01ac5362-2746-4657-8135-207519d61920 · inbound

The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation cites this paper.

The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-25T11:16:55.538388Z

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Observation 5f102041-f0e2-4ef8-a78b-109b9ce073f9 · inbound

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification cites this paper.

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-25T10:06:52.019790Z

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Observation 0bb4058f-0f5a-4329-bb4b-bee4596cb3cc · inbound

Simple vs complex temporal recurrences for video saliency prediction cites this paper.

Simple vs complex temporal recurrences for video saliency prediction Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-25T10:36:54.190662Z

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Observation 23cd841d-33e1-4fb1-8a80-9c8ac5cebe74 · inbound

Slim-CNN: A Light-Weight CNN for Face Attribute Prediction cites this paper.

Slim-CNN: A Light-Weight CNN for Face Attribute Prediction Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-25T09:56:51.323008Z

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Observation 0b06c323-837b-4eb3-a695-e49776337e47 · inbound

Graph-based Knowledge Distillation by Multi-head Attention Network cites this paper.

Graph-based Knowledge Distillation by Multi-head Attention Network Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-25T09:35:35.394728Z

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Observation 82d7cf0f-3bee-42c6-949c-4a78cb8fdd0a · inbound

RFBTD: RFB Text Detector cites this paper.

RFBTD: RFB Text Detector Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-25T09:35:35.633589Z

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Observation 679545f2-829f-4fbd-b0ee-df3e621a413b · inbound

DeePCCI: Deep Learning-based Passive Congestion Control Identification cites this paper.

DeePCCI: Deep Learning-based Passive Congestion Control Identification Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-25T09:10:33.869025Z

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Observation 9bb98296-7a95-439f-887c-a3462ba44251 · inbound

Deep Saliency Models : The Quest For The Loss Function cites this paper.

Deep Saliency Models : The Quest For The Loss Function Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-25T09:20:34.571474Z

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Observation 5c98081f-3518-4456-a229-16d46f05e982 · inbound

Guided Image Generation with Conditional Invertible Neural Networks cites this paper.

Guided Image Generation with Conditional Invertible Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-25T09:35:35.581197Z

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Observation 93620bc6-36ac-437d-8cca-056a4b58df08 · inbound

Neuron ranking -- an informed way to condense convolutional neural networks architecture cites this paper.

Neuron ranking -- an informed way to condense convolutional neural networks architecture Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-25T10:00:37.225254Z

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Observation 1247a328-8e4b-4774-9d56-40c022ea75f7 · inbound

Practical Approaches Towards Deep-Learning Based Cross-Device Power Side Channel Attack cites this paper.

Practical Approaches Towards Deep-Learning Based Cross-Device Power Side Channel Attack Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-25T02:25:14.888119Z

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Observation 8153de4d-d875-4bcb-8cd9-076683779619 · inbound

C^3 Framework: An Open-source PyTorch Code for Crowd Counting cites this paper.

C^3 Framework: An Open-source PyTorch Code for Crowd Counting Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-25T02:46:33.842439Z

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Observation 4e439e14-ae49-4902-961a-b3b360a6a64d · inbound

AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering cites this paper.

AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 67

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T01:46:32.377962Z

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Observation 0547f516-0090-40fc-b294-09b880fcedce · inbound

Fast Universal Style Transfer for Artistic and Photorealistic Rendering cites this paper.

Fast Universal Style Transfer for Artistic and Photorealistic Rendering Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:40:11.161576Z

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Observation 19179a12-a495-44c6-a806-b5bf006d7467 · inbound

Multi-level Wavelet Convolutional Neural Networks cites this paper.

Multi-level Wavelet Convolutional Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:36:32.208660Z

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Observation d5ec7d0a-ea0f-47cb-9dcc-bd2579b7d441 · inbound

Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network cites this paper.

Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T01:50:11.166149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9a9abc8-8a2e-44c6-8801-6a02261291b2 · inbound

ELF: Embedded Localisation of Features in pre-trained CNN cites this paper.

ELF: Embedded Localisation of Features in pre-trained CNN Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:35:10.999759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 62d5f1a0-ceed-4046-af1d-dac3baacd08c · inbound

Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning cites this paper.

Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:30:10.651458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4f9228bc-0840-4aaf-9f9c-5d3b454b116a · inbound

TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications cites this paper.

TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:05:10.143039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2eb85d49-9e0d-4186-b5fc-524cae039e56 · inbound

Attending to Emotional Narratives cites this paper.

Attending to Emotional Narratives Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:35:10.738729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7bf1fb6c-9daa-4ca1-84ec-9448a43933c4 · inbound

Automatic Mass Detection in Breast Using Deep Convolutional Neural Network and SVM Classifier cites this paper.

Automatic Mass Detection in Breast Using Deep Convolutional Neural Network and SVM Classifier Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-25T00:50:09.603674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c3dd6d9-824f-4dfd-8ae7-c318df688c2a · inbound

Video Action Recognition Via Neural Architecture Searching cites this paper.

Video Action Recognition Via Neural Architecture Searching Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-25T00:00:08.235719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b31dffcd-5317-4507-8193-ac60dd29eb24 · inbound

EPNAS: Efficient Progressive Neural Architecture Search cites this paper.

EPNAS: Efficient Progressive Neural Architecture Search Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:16:31.701151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ea08b97a-d300-43d5-98e1-f047fa7ee50a · inbound

Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations cites this paper.

Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-24T23:46:27.903611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d36ef07d-8ce1-45a6-895a-f2244398ce4c · inbound

Enhanced generative adversarial network for 3D brain MRI super-resolution cites this paper.

Enhanced generative adversarial network for 3D brain MRI super-resolution Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T23:16:26.981972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ceb29c3a-8e6d-46d9-9434-3fb0f7e99375 · inbound

A Targeted Acceleration and Compression Framework for Low bit Neural Networks cites this paper.

A Targeted Acceleration and Compression Framework for Low bit Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-25T00:55:09.494818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 946e0396-1163-4da6-b08b-2d28a1123585 · inbound

Visualizing and Describing Fine-grained Categories as Textures cites this paper.

Visualizing and Describing Fine-grained Categories as Textures Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-25T11:45:45.156957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d5158ca-34c6-44e9-8e3d-95d36eed0f2c · inbound

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation cites this paper.

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:25:01.713612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ad74202-0fb8-4f9d-bd01-cadcaa7c5806 · inbound

Distributed Black-Box Optimization via Error Correcting Codes cites this paper.

Distributed Black-Box Optimization via Error Correcting Codes Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:25:01.639869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c9045f5-0bf3-4d1c-873b-846925fd6f50 · inbound

Towards Characterizing and Limiting Information Exposure in DNN Layers cites this paper.

Towards Characterizing and Limiting Information Exposure in DNN Layers Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:16:24.803652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d106fa6f-4d66-4d47-9938-fb6c4134fab8 · inbound

ALFA: Agglomerative Late Fusion Algorithm for Object Detection cites this paper.

ALFA: Agglomerative Late Fusion Algorithm for Object Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:00:00.027706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a66e32b-2325-463d-8eee-0b85b52d3dcf · inbound

Preliminary study on the modal decomposition of Hermite Gaussian beams via deep learning cites this paper.

Preliminary study on the modal decomposition of Hermite Gaussian beams via deep learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:49:59.371661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c900276e-bae5-4582-b5f5-349473d88ad1 · inbound

Perceptually Motivated Method for Image Inpainting Comparison cites this paper.

Perceptually Motivated Method for Image Inpainting Comparison Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:24:57.918692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b72d12eb-e356-49a3-9293-5e343fd83c66 · inbound

Discriminative Active Learning cites this paper.

Discriminative Active Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:49:59.403932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0507bd3a-c89f-4ad0-9649-343eb403a008 · inbound

Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning cites this paper.

Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:14:57.031153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 95da8449-896a-46e4-b932-03746f666532 · inbound

Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving cites this paper.

Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:09:56.813378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7df91e43-3e8b-4ddb-b9cf-d117d0fc9778 · inbound

Deep inspection: an electrical distribution pole parts study via deep neural networks cites this paper.

Deep inspection: an electrical distribution pole parts study via deep neural networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:24:58.064333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f954b301-1c94-4529-8b5d-8594d0bc365e · inbound

Separable Convolutional LSTMs for Faster Video Segmentation cites this paper.

Separable Convolutional LSTMs for Faster Video Segmentation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:19:57.178519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37db6340-600f-4e91-9f57-33e06e67ff8c · inbound

Latent Adversarial Defence with Boundary-guided Generation cites this paper.

Latent Adversarial Defence with Boundary-guided Generation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:59:54.572000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a61e551e-f8e9-4be6-a73e-ea278684ad8f · inbound

Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge cites this paper.

Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:49:59.484883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b2f5ded-f966-47f6-aac8-b57aff9375ad · inbound

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries cites this paper.

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:49:54.712684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e0de970c-ec08-44e6-904e-aee800437523 · inbound

Learning Multimodal Fixed-Point Weights using Gradient Descent cites this paper.

Learning Multimodal Fixed-Point Weights using Gradient Descent Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:54:54.728774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d99a7e73-3912-4146-ab08-2f495c09871c · inbound

OGNet: Salient Object Detection with Output-guided Attention Module cites this paper.

OGNet: Salient Object Detection with Output-guided Attention Module Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:39:53.853608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c61e2cc5-1593-4ea2-9452-aaf885d88d3e · inbound

News Cover Assessment via Multi-task Learning cites this paper.

News Cover Assessment via Multi-task Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:26:20.925003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e612f20-8448-46f9-a411-5a4ad0fd9566 · inbound

Modern CNNs for IoT Based Farms cites this paper.

Modern CNNs for IoT Based Farms Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:06:22.650203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 50b646f2-08ee-45fd-ae3d-bd63e5e7aa9b · inbound

Autoencoder-Based Incremental Class Learning without Retraining on Old Data cites this paper.

Autoencoder-Based Incremental Class Learning without Retraining on Old Data Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-24T19:49:52.002885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation abea677f-5536-4b17-95c0-cbd3db57de42 · inbound

Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video cites this paper.

Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T20:04:52.809288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c814fe98-ffdf-4f3f-9123-981dc6a6cfda · inbound

Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach cites this paper.

Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-24T19:54:53.316784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 45fae76c-795d-44ef-8804-cc61475f77d4 · inbound

DaiMoN: A Decentralized Artificial Intelligence Model Network cites this paper.

DaiMoN: A Decentralized Artificial Intelligence Model Network Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-24T19:24:51.227357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 83f2c5ec-71ae-4207-af1d-be6daab777b9 · inbound

Predicting Visual Memory Schemas with Variational Autoencoders cites this paper.

Predicting Visual Memory Schemas with Variational Autoencoders Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-24T19:24:51.198848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 618cb79b-663e-4156-a079-56caa5d7933d · inbound

signADAM: Learning Confidences for Deep Neural Networks cites this paper.

signADAM: Learning Confidences for Deep Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:34:48.508678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 43eb059d-e165-465b-b13c-ceee41b041ae · inbound

Deep Learning for Time Series Forecasting: The Electric Load Case cites this paper.

Deep Learning for Time Series Forecasting: The Electric Load Case Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-05-24T17:59:46.574634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 50cf6459-db26-469c-acb0-8d06bbb27ff9 · inbound

RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques cites this paper.

RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 78

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T18:24:48.196565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8bc2b963-203c-4e94-97c4-89e0375947a6 · inbound

Quadruplet Selection Methods for Deep Embedding Learning cites this paper.

Quadruplet Selection Methods for Deep Embedding Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:24:48.572250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a22a3cbe-85d7-4ae2-94b8-9e2e8bf3677a · inbound

Controlling biases and diversity in diverse image-to-image translation cites this paper.

Controlling biases and diversity in diverse image-to-image translation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-24T17:46:17.333229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f19810d5-b03f-4f65-8ff3-1fe2b31668ad · inbound

Multimodal Age and Gender Classification Using Ear and Profile Face Images cites this paper.

Multimodal Age and Gender Classification Using Ear and Profile Face Images Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-24T17:19:44.110763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fbbeb2b-3735-4b7b-88db-27883bbd5a5e · inbound

Delving Deep into Liver Focal Lesion Detection: A Preliminary Study cites this paper.

Delving Deep into Liver Focal Lesion Detection: A Preliminary Study Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-24T17:04:42.983823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 69e5afb0-b06a-4490-9a74-b168dfd3145d · inbound

Open DNN Box by Power Side-Channel Attack cites this paper.

Open DNN Box by Power Side-Channel Attack Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:44:49.184139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e8825211-9034-46da-b3c1-b1e1d66e388b · inbound

Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks cites this paper.

Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-24T17:29:44.722376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f86d68e-0170-476a-a175-fa7330026bda · inbound

Switchable Normalization for Learning-to-Normalize Deep Representation cites this paper.

Switchable Normalization for Learning-to-Normalize Deep Representation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:06:18.517968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d24b5d0d-4eb4-4ec1-a128-0acaa8b4c2d6 · inbound

Convolutional Neural Networks on Randomized Data cites this paper.

Convolutional Neural Networks on Randomized Data Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-24T16:24:40.742293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9272ad8e-04af-4144-829b-19c57a66436e · inbound

Domain Generalization via Multidomain Discriminant Analysis cites this paper.

Domain Generalization via Multidomain Discriminant Analysis Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T15:54:39.213587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4cdaa2f5-f147-4ad9-8d16-b837323827fc · inbound

MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks cites this paper.

MVB: A Large-Scale Dataset for Baggage Re-Identification and Merged Siamese Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T16:14:40.300968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd74a2c7-c511-455a-a662-1b497ca21deb · inbound

Semantic Deep Intermodal Feature Transfer: Transferring Feature Descriptors Between Imaging Modalities cites this paper.

Semantic Deep Intermodal Feature Transfer: Transferring Feature Descriptors Between Imaging Modalities Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-24T16:04:39.237978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd36af46-59d9-44f1-99db-9a2989583601 · inbound

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition cites this paper.

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-05-24T23:40:05.167201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers