Paper Citation Record · LEDGER

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2411.17980.

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

pith.paper-citation-record.v1
2411.17980 v1

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Pith citing papers itemized under the disclosed page cap.

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40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 4207e7d3-3082-4a05-8572-33561a3327b4 · outbound

This paper cites Fine-grained image analysis with deep learning: A survey,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Fine-grained image analysis with deep learning: A survey,

Reference 1

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This paper cites The caltech-ucsd birds-200-2011 dataset,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification The caltech-ucsd birds-200-2011 dataset,

Reference 2

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Observation d8ce3cf4-bbf4-44ef-b3a8-2a195cd1aacf · outbound

This paper cites 3d object representations for fine-grained categoriza- tion,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification 3d object representations for fine-grained categoriza- tion,

Reference 3

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Observation 0628d829-d19e-4b5f-94e7-ac4177bac317 · outbound

This paper cites Novel dataset for fine-grained image categorization,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Novel dataset for fine-grained image categorization,

Reference 4

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Observation 7fb49e60-f905-4048-8a88-bb1a52730418 · outbound

This paper cites Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network,

Reference 5

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Observation 7e7c571e-bc20-44d5-bbd9-45ffbab1dec3 · outbound

This paper cites Complemental Attention Multi-Feature Fusion Network for Fine-Grained Classification,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Complemental Attention Multi-Feature Fusion Network for Fine-Grained Classification,

Reference 6

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Observation bbd51e4e-6e6d-44e5-b7ad-d8d68862154e · outbound

This paper cites SwinIR: Image Restoration Using Swin Transformer,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification SwinIR: Image Restoration Using Swin Transformer,

Reference 7

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Observation a898d87b-aa78-4c5b-af3d-cbd7d4de9a04 · outbound

This paper cites Convolutional low-resolution fine-grained classification,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Convolutional low-resolution fine-grained classification,

Reference 8

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Observation 090d111b-cf56-4e1f-ae51-567d586efae8 · outbound

This paper cites Discriminative Feature Mining and Enhancement Net- work for Low-Resolution Fine-Grained Image Recognition,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Discriminative Feature Mining and Enhancement Net- work for Low-Resolution Fine-Grained Image Recognition,

Reference 9

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Observation a5f000de-a901-4ca9-83b5-561d0c1dd3c0 · outbound

This paper cites Discriminative information restoration and extraction for weakly supervised low-resolution fine-grained image recognition,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Discriminative information restoration and extraction for weakly supervised low-resolution fine-grained image recognition,

Reference 10

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Observation 2e37c6a3-566f-4d36-aeee-e548c71564d6 · outbound

This paper cites Super-resolution guided knowledge distillation for low- resolution image classification,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Super-resolution guided knowledge distillation for low- resolution image classification,

Reference 11

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This paper cites Teaching where to look: Attention similarity knowledge distillation for low resolution face recognition,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Teaching where to look: Attention similarity knowledge distillation for low resolution face recognition,

Reference 12

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Observation 065cc3f9-18d0-4916-afca-36e20fa323a1 · outbound

This paper cites Low-Resolution Armored Vehicle Identification Ap- proach via Joint Super-resolution and Knowledge Distillation,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Low-Resolution Armored Vehicle Identification Ap- proach via Joint Super-resolution and Knowledge Distillation,

Reference 13

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Observation 7d438166-29cf-4d6d-a4f2-6b19ab805d2e · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Distilling the Knowledge in a Neural Network

Reference 14

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Observation a8cd01e2-399f-430e-a45f-e883d44964fe · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Deep Residual Learning for Image Recognition,

Reference 15

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Observation 54a40785-dd0d-4782-bfcb-c21d4a7d251d · outbound

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

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

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Observation 8b07d673-da77-4f58-8586-7d90f1ba6c15 · outbound

This paper cites ShuffleNet V2: Practical Guidelines for Effcient CNN Architecture Design,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification ShuffleNet V2: Practical Guidelines for Effcient CNN Architecture Design,

Reference 17

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Observation 262969a7-84e0-466e-a57f-46d69dbd57a0 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

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Observation 4b548d87-1492-4a7d-bca9-ebb7a77e9012 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 19

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Observation 8030d699-cdf7-4bda-885f-3b05182b94b5 · outbound

This paper cites VMamba: Visual State Space Model.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification VMamba: Visual State Space Model

Reference 20

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Observation db7dfa01-650c-442e-8ae5-c4f5d4b3c268 · outbound

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

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 21

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Observation d33c1934-f99f-4c87-b7b9-03a64f0cc5b5 · outbound

This paper cites Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning

Reference 22

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Observation f9d2ce0b-5c59-4920-b327-6b0b90648631 · outbound

This paper cites MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection

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This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 24

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This paper cites Cats and dogs,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Cats and dogs,

Reference 25

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This paper cites Automated Flower Classification over a Large Number of Classes,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Automated Flower Classification over a Large Number of Classes,

Reference 26

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Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Recognizing indoor scenes,

Reference 27

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This paper cites Human action recognition by learning bases of action attributes and parts,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Human action recognition by learning bases of action attributes and parts,

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Observation f0ec1430-6c09-4292-be4e-88a1febff36e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites Mope-clip: Structured pruning for efficient vision- language models with module-wise pruning error metric,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Mope-clip: Structured pruning for efficient vision- language models with module-wise pruning error metric,

Reference 30

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Vision Mamba Distillation for Low-resolution Fine-grained Image Classification TinyBERT: Distilling BERT for Natural Language Understanding

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This paper cites DynaBERT: Dynamic BERT with adaptive width and depth,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification DynaBERT: Dynamic BERT with adaptive width and depth,

Reference 32

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Observation b16b5e53-53ae-4838-9c4e-6bcf8b4e423f · outbound

This paper cites CLIP-KD: An Empirical Study of CLIP Model Distil- lation,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification CLIP-KD: An Empirical Study of CLIP Model Distil- lation,

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This paper cites Class Attention Transfer Based Knowledge Distillation,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Class Attention Transfer Based Knowledge Distillation,

Reference 34

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Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Cubic convolution interpolation for digital image pro- cessing,

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This paper cites Low-resolution Visual Recognition via Deep Feature Distillation,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Low-resolution Visual Recognition via Deep Feature Distillation,

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This paper cites Feature map distillation of thin nets for low-resolution object recognition,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Feature map distillation of thin nets for low-resolution object recognition,

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This paper cites Pixel Distillation: Cost-flexible Distillation across Image Sizes and Heterogeneous Networks,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Pixel Distillation: Cost-flexible Distillation across Image Sizes and Heterogeneous Networks,

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This paper cites Effects of Image Degradation and Degradation Removal to CNN-Based Image Classification,.

Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Effects of Image Degradation and Degradation Removal to CNN-Based Image Classification,

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Observation d46d59f7-0c53-4fbd-9919-1871e5c02302 · outbound

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Vision Mamba Distillation for Low-resolution Fine-grained Image Classification Unresolved cited work

Reference 2024

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Pith citing papers

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