DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding | Paper Citation Record

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This paper cites Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution,

Reference 1

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This paper cites Xception: Deep learning with depthwise separable convolutions,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Xception: Deep learning with depthwise separable convolutions,

Reference 2

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This paper cites Tackling multipath and biased training data for imu-assisted ble proximity detection,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Tackling multipath and biased training data for imu-assisted ble proximity detection,

Reference 3

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This paper cites Micronet: Improving image recognition with extremely low flops,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Micronet: Improving image recognition with extremely low flops,

Reference 4

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This paper cites Rigid-Motion Scattering for Texture Classification.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Rigid-Motion Scattering for Texture Classification

Reference 5

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This paper cites Hetconv: Heterogeneous kernel-based convolutions for deep cnns,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Hetconv: Heterogeneous kernel-based convolutions for deep cnns,

Reference 6

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Observation d74de223-2c67-4adb-9d3a-49a4af2cd77d · outbound

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

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

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This paper cites Training data-efficient image transformers & distillation through attention,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Training data-efficient image transformers & distillation through attention,

Reference 8

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Observation 53181714-b549-4a03-b34e-01e58c5f5866 · outbound

This paper cites A depth-first search-based algorithm for the minimization of the largest connected component in networks,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding A depth-first search-based algorithm for the minimization of the largest connected component in networks,

Reference 9

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This paper cites Interleaved group convolutions,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Interleaved group convolutions,

Reference 10

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This paper cites Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services

Reference 11

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Observation 204a240c-1d3d-467e-b0c2-7a0cb5288928 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Imagenet classification with deep convolutional neural networks,

Reference 12

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Observation ab41c3a3-f979-4411-81bb-cff459424df4 · outbound

This paper cites Searching for mobilenetv3,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Searching for mobilenetv3,

Reference 13

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Observation 8898e184-204c-4b79-a254-a54fe6980702 · outbound

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

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 14

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This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 15

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This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Shufflenet v2: Practical guidelines for efficient cnn architecture design,

Reference 16

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This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Shufflenet: An extremely efficient convolutional neural network for mobile devices,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:17.557678Z

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This paper cites Ghostnet: More features from cheap operations,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Ghostnet: More features from cheap operations,

Reference 18

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Observation e65c9664-4b9b-4f58-aa9f-e75110421d9b · outbound

This paper cites Deep residual learning for image recognition,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Deep residual learning for image recognition,

Reference 19

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This paper cites Condensenet: An efficient densenet using learned group convolutions,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Condensenet: An efficient densenet using learned group convolutions,

Reference 20

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This paper cites Efficientnetv2: Smaller models and faster training,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Efficientnetv2: Smaller models and faster training,

Reference 21

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This paper cites Run, don’t walk: Chasing higher FLOPS for faster neural networks,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Run, don’t walk: Chasing higher FLOPS for faster neural networks,

Reference 22

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This paper cites Rewrite the stars,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Rewrite the stars,

Reference 23

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This paper cites Attention is all you need,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Attention is all you need,

Reference 24

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This paper cites Social ode: Multi-agent trajectory forecasting with neural ordinary differential equations,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Social ode: Multi-agent trajectory forecasting with neural ordinary differential equations,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:16.512066Z

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This paper cites How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

Reference 26

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This paper cites DeiT III: Revenge of the ViT.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding DeiT III: Revenge of the ViT

Reference 27

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This paper cites Levit: a vision transformer in convnet’s clothing for faster inference,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Levit: a vision transformer in convnet’s clothing for faster inference,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:16.278539Z

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This paper cites Swin transformer v2: Scaling up capacity and resolution,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Swin transformer v2: Scaling up capacity and resolution,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:16.045620Z

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 30

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This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 31

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This paper cites A tree-based structure-aware transformer decoder for image-to-markup generation,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding A tree-based structure-aware transformer decoder for image-to-markup generation,

Reference 32

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This paper cites Xcit: Cross-covariance image transformers,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Xcit: Cross-covariance image transformers,

Reference 33

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This paper cites LightViT: Towards Light-Weight Convolution-Free Vision Transformers.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding LightViT: Towards Light-Weight Convolution-Free Vision Transformers

Reference 34

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This paper cites Soft: Softmax-free transformer with linear complexity,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Soft: Softmax-free transformer with linear complexity,

Reference 35

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This paper cites QuadTree Attention for Vision Transformers.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding QuadTree Attention for Vision Transformers

Reference 36

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This paper cites Scaling local self-attention for parameter efficient visual backbones,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Scaling local self-attention for parameter efficient visual backbones,

Reference 37

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This paper cites Mobileformer: Bridging mobilenet and transformer,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Mobileformer: Bridging mobilenet and transformer,

Reference 38

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This paper cites Coatnet: Marrying convolution and attention for all data sizes,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Coatnet: Marrying convolution and attention for all data sizes,

Reference 39

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This paper cites Bottleneck transformers for visual recognition,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Bottleneck transformers for visual recognition,

Reference 40

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This paper cites EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction

Reference 41

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This paper cites EfficientFormer: Vision Transformers at MobileNet Speed.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding EfficientFormer: Vision Transformers at MobileNet Speed

Reference 42

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DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Separable Self-attention for Mobile Vision Transformers

Reference 43

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This paper cites EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers

Reference 44

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This paper cites CycleMLP: A MLP-like Architecture for Dense Prediction.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding CycleMLP: A MLP-like Architecture for Dense Prediction

Reference 45

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This paper cites AS-MLP: An Axial Shifted MLP Architecture for Vision.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding AS-MLP: An Axial Shifted MLP Architecture for Vision

Reference 46

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This paper cites Mlp-mixer: An all-mlp architecture for vision,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Mlp-mixer: An all-mlp architecture for vision,

Reference 47

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This paper cites Are we ready for a new paradigm shift? a survey on visual deep mlp,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Are we ready for a new paradigm shift? a survey on visual deep mlp,

Reference 48

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This paper cites A convnet for the 2020s,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding A convnet for the 2020s,

Reference 49

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This paper cites When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism

Reference 50

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This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 51

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This paper cites Relational inductive biases, deep learning, and graph networks.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Relational inductive biases, deep learning, and graph networks

Reference 52

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This paper cites Learning fast approximations of sparse coding,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Learning fast approximations of sparse coding,

Reference 53

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This paper cites Neural execution of graph algorithms,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Neural execution of graph algorithms,

Reference 54

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This paper cites Compositional attention networks for machine reasoning,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Compositional attention networks for machine reasoning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:13.150582Z

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This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 56

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This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 57

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This paper cites This looks like that: deep learning for interpretable image recognition,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding This looks like that: deep learning for interpretable image recognition,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:39:12.957783Z

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Observation dc03a394-0c50-4b91-bcaa-d7a4bb769658 · outbound

This paper cites On the Performance of the Depth First Search Algorithm in Supercritical Random Graphs.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding On the Performance of the Depth First Search Algorithm in Supercritical Random Graphs

Reference 59

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This paper cites Wide residual networks,.

DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding Wide residual networks,

Reference 60

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