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Paper Citation Record · LEDGER

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection

As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2411.17167.

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

pith.paper-citation-record.v1
2411.17167 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:29:56.350944Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation baa71ef2-737d-4858-99d2-b41e657ece52 · outbound

This paper cites Reactivation mechanism of old landslide triggered by coupling of fault creep and water infiltration: a case study from the east tibetan plateau,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Reactivation mechanism of old landslide triggered by coupling of fault creep and water infiltration: a case study from the east tibetan plateau,

Reference 1

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Observation 1d2fc9c4-cfc6-4ad6-80e1-556c0b539c18 · outbound

This paper cites Detection of landslide using high resolution satellite data and analysis using entropy,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Detection of landslide using high resolution satellite data and analysis using entropy,

Reference 2

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Observation cc08e4fc-2273-422f-9742-ea6b21a0de29 · outbound

This paper cites The 22 march 2014 oso landslide, washington, usa,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection The 22 march 2014 oso landslide, washington, usa,

Reference 3

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Observation 6de6e062-c01c-4f73-b9d5-b3f48a085992 · outbound

This paper cites Hu, “The historical transformation of the landslid- ing causes and factors in the border slopes of loessial JOURNAL OF LATEX CLASS FILES, VOL.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Hu, “The historical transformation of the landslid- ing causes and factors in the border slopes of loessial JOURNAL OF LATEX CLASS FILES, VOL

Reference 4

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Source-reported events for the cited work

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Observation 003e8ef6-de4f-46d5-bc1d-07d6c20fb383 · outbound

This paper cites Landslide inventory maps: New tools for an old problem,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Landslide inventory maps: New tools for an old problem,

Reference 5

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Observation 73dd9ae6-cb19-4a03-aada-82ca5189dd7e · outbound

This paper cites Preparation of earthquake-triggered landslide in- ventory maps using remote sensing and gis technologies: Principles and case studies,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Preparation of earthquake-triggered landslide in- ventory maps using remote sensing and gis technologies: Principles and case studies,

Reference 6

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Source-reported events for the cited work

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Observation 5b6b1aea-8446-4eb6-980c-eb23847a24da · outbound

This paper cites Comparing landslide inventory maps,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Comparing landslide inventory maps,

Reference 7

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Source-reported events for the cited work

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Observation 7d7a5208-3655-4f62-acfb-66417672edb2 · outbound

This paper cites High-resolution remote sensing image recognition of loess landslide: A case study of yan’an shaanxi province,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection High-resolution remote sensing image recognition of loess landslide: A case study of yan’an shaanxi province,

Reference 8

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Source-reported events for the cited work

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Observation 4faf9c44-9775-4e0e-a0aa-18df2eb0e9a4 · outbound

This paper cites Landslide detection based on dem matching,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Landslide detection based on dem matching,

Reference 9

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Observation 1e1bf98c-fe8e-43aa-befd-05e7c33867d0 · outbound

This paper cites Sentinel-1 sar amplitude imagery for rapid landslide detection,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Sentinel-1 sar amplitude imagery for rapid landslide detection,

Reference 10

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Observation 6b5485f0-4826-484e-8557-af78c4c91a80 · outbound

This paper cites A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change,

Reference 11

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Source-reported events for the cited work

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Observation dfa78e8d-0087-4bc5-bee3-433ec01e0ae1 · outbound

This paper cites A comparative analysis of pixel- and object-based detection of landslides from very high- resolution images,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection A comparative analysis of pixel- and object-based detection of landslides from very high- resolution images,

Reference 12

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Source-reported events for the cited work

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Observation 23bf5376-2105-4bed-8ac0-958c112bad18 · outbound

This paper cites Postearthquake landslides mapping from landsat-8 data for the 2015 nepal earthquake using a pixel-based change detection method,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Postearthquake landslides mapping from landsat-8 data for the 2015 nepal earthquake using a pixel-based change detection method,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 46dfdfa6-d7d7-4d5f-a081-b204d3157d08 · outbound

This paper cites Landslide mapping from aerial photographs using change detection-based markov random field,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Landslide mapping from aerial photographs using change detection-based markov random field,

Reference 14

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Source-reported events for the cited work

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Observation d51b22f3-3496-4bad-a76c-e26ef93281e7 · outbound

This paper cites Object-oriented mapping of landslides using random forests,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Object-oriented mapping of landslides using random forests,

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 24e9d718-97d8-4ded-b7a6-79744e5b2067 · outbound

This paper cites Mapping land- slides on eo data: Performance of deep learning models vs. traditional machine learning models,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Mapping land- slides on eo data: Performance of deep learning models vs. traditional machine learning models,

Reference 16

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Source-reported events for the cited work

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Observation 01fb12d4-5254-4c8f-8ce4-358baa0423f3 · outbound

This paper cites Landslide detection using residual networks and the fusion of spectral and topo- graphic information,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Landslide detection using residual networks and the fusion of spectral and topo- graphic information,

Reference 17

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Source-reported events for the cited work

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Observation 2f85fedf-56e8-4f09-ac5e-d83b7b2c2cdf · outbound

This paper cites Object based image analysis for remote sensing,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Object based image analysis for remote sensing,

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 92a63e54-96cf-4a88-af27-88e19c9e83ee · outbound

This paper cites Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods,

Reference 19

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Source-reported events for the cited work

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Observation f9c9e504-741b-4bda-ba96-31f56d8afbb0 · outbound

This paper cites Landslide map- ping with multi-scale object-based image analysis–a case study in the baichi watershed, taiwan,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Landslide map- ping with multi-scale object-based image analysis–a case study in the baichi watershed, taiwan,

Reference 20

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Observation d4cfa0b7-f097-46b4-8fad-735309066814 · outbound

This paper cites A semi-automated object-based approach for landslide detection validated by persistent scatterer interferometry measures and landslide inventories,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection A semi-automated object-based approach for landslide detection validated by persistent scatterer interferometry measures and landslide inventories,

Reference 21

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Observation 45a1c92f-5514-4bb0-9606-ac2e1f4cc527 · outbound

This paper cites Multi-aspect analysis of object-oriented landslide detec- tion based on an extended set of lidar-derived terrain fea- tures,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Multi-aspect analysis of object-oriented landslide detec- tion based on an extended set of lidar-derived terrain fea- tures,

Reference 22

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Observation f7aa43f6-f150-4444-a76b-87fcaa318074 · outbound

This paper cites Mask r-cnn,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Mask r-cnn,

Reference 23

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Observation 37012b5b-ce11-4bc4-bf38-c57cecc406b1 · outbound

This paper cites Fast r-cnn,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Fast r-cnn,

Reference 24

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Observation bab717cb-e1af-447e-bd22-c9e1c1203377 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 25

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Observation 90a31b17-495b-4cca-aaa0-2ee26b2883c7 · outbound

This paper cites Fully convolu- tional networks for semantic segmentation,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Fully convolu- tional networks for semantic segmentation,

Reference 26

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Observation 93ab1453-19f9-48a7-9fc5-f0b5455cb7a8 · outbound

This paper cites Encoder-decoder with atrous separable convo- lution for semantic image segmentation,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Encoder-decoder with atrous separable convo- lution for semantic image segmentation,

Reference 27

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Observation dd0ff41d-a69f-459c-8e7f-9b440f25bd0a · outbound

This paper cites Gan- based siamese framework for landslide inventory map- ping using bi-temporal optical remote sensing images,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Gan- based siamese framework for landslide inventory map- ping using bi-temporal optical remote sensing images,

Reference 28

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Source-reported events for the cited work

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Observation 93c81247-0bb5-45a4-b708-568fcef54ecb · outbound

This paper cites Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes

Reference 29

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Source-reported events for the cited work

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Observation d4044ff4-d7b3-4635-8e4c-cdeda33fdfcc · outbound

This paper cites Landslide de- tection using densely connected convolutional networks and environmental conditions,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Landslide de- tection using densely connected convolutional networks and environmental conditions,

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1f558a73-fbdc-41f8-948d-e8738748e71d · outbound

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

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 31

Resolution
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Source-reported events for the cited work

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This paper cites Swin transformer: Hierarchical vi- sion transformer using shifted windows,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Swin transformer: Hierarchical vi- sion transformer using shifted windows,

Reference 32

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This paper cites Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,

Reference 33

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Observation a6a74d96-89dd-4bcc-a74d-cdcfc1330fa1 · outbound

This paper cites Seg- menter: Transformer for semantic segmentation,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Seg- menter: Transformer for semantic segmentation,

Reference 34

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This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 35

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Observation 0352fffc-7b88-4987-a82b-04f151c73b73 · outbound

This paper cites Landslide susceptibility prediction based on im- age semantic segmentation,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Landslide susceptibility prediction based on im- age semantic segmentation,

Reference 36

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This paper cites Research progress and prospect on reactivation of ancient landslides,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Research progress and prospect on reactivation of ancient landslides,

Reference 37

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Observation f566120c-b2b4-475b-8299-18b0d645d159 · outbound

This paper cites Simmim: A simple framework for masked image modeling,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Simmim: A simple framework for masked image modeling,

Reference 38

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Observation ced3a662-ecb6-4f61-abf9-eccee07316b0 · outbound

This paper cites Unsupervised feature learning via non-parametric instance discrimina- tion,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Unsupervised feature learning via non-parametric instance discrimina- tion,

Reference 39

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Observation 5bd31e42-dd46-482d-b5a4-9bc728e44ceb · outbound

This paper cites An iterative classification and semantic seg- mentation network for old landslide detection using high- resolution remote sensing images,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection An iterative classification and semantic seg- mentation network for old landslide detection using high- resolution remote sensing images,

Reference 40

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Observation 8efee503-4390-4564-b1c1-085539eaba48 · outbound

This paper cites Bootstrap your own latent- a new approach to self-supervised learning,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Bootstrap your own latent- a new approach to self-supervised learning,

Reference 41

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Observation b8825b9d-b4be-4e2d-a082-eafb9d9b670f · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Emerging properties in self-supervised vision transformers,

Reference 42

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Observation 3eac2110-4ef3-4981-abf4-1d447cf358a2 · outbound

This paper cites Self-Attention with Relative Position Representations.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Self-Attention with Relative Position Representations

Reference 43

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Observation 99be3cf2-babf-4a36-b9e7-40419f547fbc · outbound

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MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Squeeze-and-excitation networks,

Reference 44

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Observation 72b36ce0-7e98-459e-9d0d-ac199edf6d04 · outbound

This paper cites Spatial transformer networks,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Spatial transformer networks,

Reference 45

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Observation 8594e038-ad5d-43d7-ac12-5b2803ae73cc · outbound

This paper cites Bisdenet: A new lightweight deep learning-based framework for efficient landslide detection,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Bisdenet: A new lightweight deep learning-based framework for efficient landslide detection,

Reference 46

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Observation 7b12fbbc-e832-4441-b45f-35cdd61c2620 · outbound

This paper cites A new mask r-cnn-based method for improved landslide detection,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection A new mask r-cnn-based method for improved landslide detection,

Reference 47

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Observation e69a6884-f233-4c17-9015-da0b3b9a3daf · outbound

This paper cites Tcnet: Multiscale fusion of transformer and cnn for semantic segmentation of remote sensing images,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Tcnet: Multiscale fusion of transformer and cnn for semantic segmentation of remote sensing images,

Reference 48

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Observation c8d21e11-d7d4-497f-a648-4c388592f906 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 49

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