Paper Citation Record · LEDGER

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation

As of 7 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2506.20688.

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

pith.paper-citation-record.v1
2506.20688 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:00:29.169345Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T15:16:35.452784Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

verified exact0
verified fuzzy9
unresolved60
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aca60377-d6cc-45f7-8722-fc4769bcbcf4 · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:00:30.846172Z

Source-reported events for the cited work

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Observation a182a236-3e3a-43ff-963a-03e024f75ab6 · outbound

This paper cites Sandler, A.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Sandler, A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:00:30.826692Z

Source-reported events for the cited work

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Observation 2836e12b-7349-467d-b03c-32f7a0df4281 · outbound

This paper cites Vedaldi, H.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Vedaldi, H

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:00:30.806385Z

Source-reported events for the cited work

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Observation 093e940d-9c18-4325-98f2-e9daf1c8f468 · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:00:30.776251Z

Source-reported events for the cited work

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Observation bd83571b-64e4-4da4-9915-763e158e3256 · outbound

This paper cites Bucila, R.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Bucila, R

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:00:30.742498Z

Source-reported events for the cited work

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Observation 78bdf704-4f48-4556-9c76-7e99e6f62e7d · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:00:30.724732Z

Source-reported events for the cited work

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Observation 73b646f8-774e-4380-a833-8fb2dde3008c · outbound

This paper cites Zagoruyko, N.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Zagoruyko, N

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:00:30.708215Z

Source-reported events for the cited work

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Observation 77500148-88d9-4a62-a2f3-35f9e082ab5e · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation 6fcbbfb1-436b-42e1-8ba8-777f3f97f40b · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:00:30.673858Z

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Observation 1e55d27a-4610-4417-9994-fe85ecd23b7e · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 11

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Observation e0e50ef0-54e1-4c45-8c71-c31747e041d8 · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 12

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Observation 3803cdc8-b519-4563-b786-a45c6e35de08 · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 13

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 14

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This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 15

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This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 16

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Observation 6cd9630e-35d7-4d92-b373-c91eb0916dda · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 17

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Observation ebbe1cd6-e658-4714-823b-ba7ef32d21c0 · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 18

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Observation ca3155f4-6a34-46c9-8f8b-9e61e9226587 · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 19

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Observation c492a555-2bca-4ea7-80a7-a223853bf6d9 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation bc222e00-b0d0-4a04-ad95-f87b2dbcf75b · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 21

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Observation a617a167-1836-4a04-bedf-12f91263896a · outbound

This paper cites Mehta, M.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Mehta, M

Reference 22

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Observation e7e06a3f-83d7-4ead-bf0a-d7089c3b13bb · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation b71d5ee2-59b8-4bb7-a562-25d024bdb33f · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 24

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Observation 0e030850-5072-47e0-a237-85ff344bdf86 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation 89c749be-0990-42b2-b436-90d2fc188e03 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 26

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Observation 8d68d350-c8b0-45ac-9a01-1dc791774333 · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 27

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Observation 27e3081d-cabf-442c-9caa-202e845c38d8 · outbound

This paper cites Sambaturu, A.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Sambaturu, A

Reference 28

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Observation 223a753a-f08e-4db2-a811-0476ac100729 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 29

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation c42e3422-d630-41c6-9ef7-0e6f66af06b1 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation 4619138f-a7fd-45db-a3ce-65d4797d36b1 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation d7a44ed6-8415-48ac-b089-ccc542b85f6f · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation b044afaf-46b4-4dc3-b07a-9b441b437a90 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation a96ef6c0-7af9-4c68-80fc-4b27d73a3f41 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation ea9cd1ef-e6f3-4564-bbf0-667b9336683e · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Boosting General Trimap-free Matting in the Real-World Image

Reference 40

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation 71c3a433-3af8-4b33-86ed-b6ad50bb7d88 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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This paper cites Lifelong Learning and Selective Forgetting via Contrastive Strategy.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Lifelong Learning and Selective Forgetting via Contrastive Strategy

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Cognitive Memory in Large Language Models

Reference 44

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation 47c7b490-0eea-406d-851c-c3e86edb437f · outbound

This paper cites an unresolved cited work.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

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Observation 223a4128-1437-40ac-8b36-458e355773f2 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 47

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Observation 298999fc-c00b-43e3-a955-0a2298ea4389 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 48

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Observation a49b356a-45c1-447c-9d70-f3fd215cc061 · outbound

This paper cites Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation

Reference 49

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Observation f7fcefa1-5328-4232-9fc4-65100b58cbb0 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

Reference 50

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention

Reference 51

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Source-reported events for the cited work

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Observation 9bb63c78-9fad-4727-b5ff-afe323dbad39 · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:00:29.820587Z

Source-reported events for the cited work

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Observation f73497b1-a47b-40cd-9648-3c2d0f22212f · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:00:29.795566Z

Source-reported events for the cited work

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Observation ec420f5b-a47d-4565-980f-cb7fa510cc94 · outbound

This paper cites Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation

Reference 54

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Source-reported events for the cited work

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Observation 450d40da-5d96-4923-bed9-5174816d5d94 · outbound

This paper cites DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Reference 55

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Source-reported events for the cited work

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This paper cites 39, 2025, pp.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation 39, 2025, pp

Reference 56

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This paper cites GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval

Reference 57

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 58

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Observation bfbc809d-3d14-4b27-98d4-c3dd717f52fd · outbound

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 59

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This paper cites GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models

Reference 60

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This paper cites F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation

Reference 61

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 62

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 63

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 64

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 65

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This paper cites Maggiori, Y.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Maggiori, Y

Reference 66

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This paper cites ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Reference 67

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Oršić, S

Reference 68

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Reference 69

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Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation Unresolved cited work

Reference 70

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Pith citing papers

Observation 265850aa-de40-408b-a3a6-99916840bc9e · inbound

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning cites this paper.

MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation

Reference 5

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