SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation | Paper Citation Record

Observation ba5bd5c5-b12e-4890-8696-ab59bd381d97 · outbound

This paper cites In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 1

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Observation d0d18da4-9adf-410f-9e0a-7ad656c57344 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation SAM 2: Segment Anything in Images and Videos

Reference 2

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Observation 4e5d3f7e-ed7e-4173-98db-836fab260d00 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation SAM 3: Segment Anything with Concepts

Reference 3

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Observation 403120cb-2d70-44b2-9397-fc57f2793535 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 4

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Observation 3fb3c1ba-7d18-4ae2-b999-a3a388f500fb · outbound

This paper cites DINOv3.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation DINOv3

Reference 5

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Observation 8c1cc27f-c6c4-4163-9da4-a3d2c79f30dc · outbound

This paper cites Fully Convolutional Networks for Semantic Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Fully Convolutional Networks for Semantic Segmentation

Reference 6

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Observation f157b225-9448-43c0-a714-34e6957a4ed7 · outbound

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

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 7

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Observation 972161e8-9d06-411d-b28b-0af121f5bc36 · outbound

This paper cites Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Reference 8

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Observation addf2ff4-77e9-4903-8511-dd9697ba3a38 · outbound

This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Reference 9

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Observation cf3317c5-81c8-4535-82c3-9557f6e690cb · outbound

This paper cites https://arxiv.org/abs/1706.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation https://arxiv.org/abs/1706

Reference 10

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Observation 2c4288af-ac4d-4a54-a016-8d8df0b3424e · outbound

This paper cites Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Reference 11

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Observation 7620beac-b6b9-4671-ab4a-4d38ca122a14 · outbound

This paper cites Mask R-CNN.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Mask R-CNN

Reference 12

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Observation 2ba95518-11b4-47a5-a045-bddb4f55cbab · outbound

This paper cites Panoptic Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Panoptic Segmentation

Reference 13

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Observation 35a39996-ad4f-46e1-a917-740a16004089 · outbound

This paper cites Generating 3d adversarial point clouds, in: 2019 IEEE/CVF Conference on Computer Vision and PatternRecognition(CVPR).

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Generating 3d adversarial point clouds, in: 2019 IEEE/CVF Conference on Computer Vision and PatternRecognition(CVPR)

Reference 14

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Observation 3f7f18a5-c0b0-497d-9217-0f349b351d52 · outbound

This paper cites Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Reference 15

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This paper cites https://arxiv.org/abs/2012.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation https://arxiv.org/abs/2012

Reference 16

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Observation 1df0b453-995d-49b4-bd81-fbe90227f2a5 · outbound

This paper cites Segmenter: Transformer for Semantic Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Segmenter: Transformer for Semantic Segmentation

Reference 17

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Observation 20a73dc4-5d44-459e-8f9a-e6b32b5e6ba4 · outbound

This paper cites SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Reference 18

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Observation dafb9eb3-c833-4c95-80a2-e4a483f9809d · outbound

This paper cites Per-Pixel Classification is Not All You Need for Semantic Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Per-Pixel Classification is Not All You Need for Semantic Segmentation

Reference 19

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Observation 6b74c58c-fad9-4a52-ac9c-8f4ed4f62964 · outbound

This paper cites Masked-attention Mask Transformer for Universal Image Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Masked-attention Mask Transformer for Universal Image Segmentation

Reference 20

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Observation cfa094f1-ca19-4042-bfe9-3e6ab6ffab8c · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Emerging Properties in Self-Supervised Vision Transformers

Reference 21

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Observation 92330f8a-3033-43d3-8eda-9541517f1095 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation DINOv2: Learning Robust Visual Features without Supervision

Reference 22

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Observation 65e66ad0-a79e-4cfa-901c-f0fe34cc5986 · outbound

This paper cites Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

Reference 23

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Observation 22c512f4-ff95-49fb-9931-f3f0aa6ef97d · outbound

This paper cites Revealing the semantic selection gap in dinov3 through training-free few-shot segmentation.arXiv preprint arXiv:2602.07550,.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Revealing the semantic selection gap in dinov3 through training-free few-shot segmentation.arXiv preprint arXiv:2602.07550,

Reference 24

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Observation 2931e6cc-759f-4431-bd37-07670e74c8ff · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Learning Transferable Visual Models From Natural Language Supervision

Reference 25

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Observation 61f8fa20-c9c6-4de6-9d36-7d6b4957f6d7 · outbound

This paper cites In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), pp.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 26

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Observation 34f8c9bf-1720-4c34-96af-8f644f55f6b2 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 27

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This paper cites Perception Encoder: The best visual embeddings are not at the output of the network.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Perception Encoder: The best visual embeddings are not at the output of the network

Reference 28

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Observation ee6ec645-d65c-4d63-9b97-c37d06fe42ec · outbound

This paper cites Communications of the ACM 65(1), 99–106 (2021) https://doi.org/ 10.1007/978-3-030-58452-8 24.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Communications of the ACM 65(1), 99–106 (2021) https://doi.org/ 10.1007/978-3-030-58452-8 24

Reference 29

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Observation b5e9236f-b520-42ee-9e90-45ec014efe38 · outbound

This paper cites Burbi, A.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Burbi, A

Reference 30

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This paper cites Nature Communications15(1) (2024) https://doi.org/10.1038/ s41467-024-44824-z.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Nature Communications15(1) (2024) https://doi.org/10.1038/ s41467-024-44824-z

Reference 31

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Observation 7d0777c1-62a1-40c0-8703-f305e5a99d80 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing62, 1–17 (2024) https://doi.org/10.1109/tgrs.2024.3356074.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation IEEE Transactions on Geoscience and Remote Sensing62, 1–17 (2024) https://doi.org/10.1109/tgrs.2024.3356074

Reference 32

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Observation 5799d5af-67e5-4554-88cb-c09f81032ee4 · outbound

This paper cites Language-driven Semantic Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Language-driven Semantic Segmentation

Reference 33

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SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Unresolved cited work

Reference 34

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Observation d7825ab0-9628-4c5a-b543-5c0d85f44094 · outbound

This paper cites In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 35

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Observation 2b8f3edd-e2d7-4fb8-b714-cda689e3fcd4 · outbound

This paper cites Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Reference 36

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Observation 83e065c0-00aa-4290-bca3-7dc3d70ebe5f · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 37

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SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Unresolved cited work

Reference 38

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Observation 7db301b6-6220-4f33-8012-a557e10b8138 · outbound

This paper cites Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation

Reference 39

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Observation 8308eb51-314e-4590-8544-29c03c685a13 · outbound

This paper cites Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation

Reference 41

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Observation a17b1e41-9266-4613-a162-a90dc371c1a4 · outbound

This paper cites ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements

Reference 42

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SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Unresolved cited work

Reference 43

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Observation 8bc6d208-02bb-4794-9b34-977ae5cd5316 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025).

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Reference 44

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Observation a56c8dc2-1caf-4ae7-9ff0-95634e7ebcac · outbound

This paper cites Freeman, Frédo Durand, Eli Shechtman, and Xun Huang.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Freeman, Frédo Durand, Eli Shechtman, and Xun Huang

Reference 45

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Observation e5e98157-3f37-47ba-85ce-46199acc5a68 · outbound

This paper cites In: Advances in Neural Information Processing Systems (2025).

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: Advances in Neural Information Processing Systems (2025)

Reference 46

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Observation 0784c52d-9609-4518-9b3a-a49f6a081af7 · outbound

This paper cites In: Advances in Neu- ral Information Processing Systems 36.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: Advances in Neu- ral Information Processing Systems 36

Reference 47

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Observation 7994ad34-9970-49a1-a744-2f12b1917b75 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 48

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This paper cites Geospecific View Generation Geometry-Context Aware High-Resolution Ground View Inference from Satellite Views , booktitle = ECCV, series =.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Geospecific View Generation Geometry-Context Aware High-Resolution Ground View Inference from Satellite Views , booktitle = ECCV, series =

Reference 49

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Observation b8804e61-ee4a-4a71-b7fc-29e9564cb632 · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Emogen: Emotional image content generation with text-to-image diffusion models

Reference 50

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Observation 2420da48-4b67-44fa-ba77-bc08b2fb1b4d · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Emogen: Emotional image content generation with text-to-image diffusion models

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This paper cites Personalize Segment Anything Model with One Shot.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Personalize Segment Anything Model with One Shot

Reference 52

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Observation e26a1147-db22-482d-b825-ce23267b615f · outbound

This paper cites Towards Training-free Open-world Segmentation via Image Prompt Foundation Models.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Towards Training-free Open-world Segmentation via Image Prompt Foundation Models

Reference 53

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Observation 95bb73e5-313b-45b0-8899-96cbf0fd188e · outbound

This paper cites Bridge the Points: Graph-based Few-shot Segment Anything Semantically.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Bridge the Points: Graph-based Few-shot Segment Anything Semantically

Reference 54

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Observation c42176dc-c6a3-4d4f-abe3-eb6ddb3845a6 · outbound

This paper cites In: 2024 IEEE/CVF Winter Conference on Applications of Com- puter Vision (W ACV), pp.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: 2024 IEEE/CVF Winter Conference on Applications of Com- puter Vision (W ACV), pp

Reference 55

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Observation c0754154-1582-4b50-b06c-1612318f8e52 · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Emogen: Emotional image content generation with text-to-image diffusion models

Reference 56

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Observation 00b1b912-a5aa-4030-929a-acaa5862cce3 · outbound

This paper cites Generalization through Memorization: Nearest Neighbor Language Models.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Generalization through Memorization: Nearest Neighbor Language Models

Reference 57

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Observation 5f3bec13-3ef6-4550-aa00-356f20f3453d · outbound

This paper cites KNN-Diffusion: Image Generation via Large-Scale Retrieval.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation KNN-Diffusion: Image Generation via Large-Scale Retrieval

Reference 58

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This paper cites Re-Imagen: Retrieval-Augmented Text-to-Image Generator.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:02.775325Z

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Observation 42e4238b-ad05-4363-a5e2-aa7c32adec10 · outbound

This paper cites In: Advances in Neural Information Processing Sys- tems 35.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: Advances in Neural Information Processing Sys- tems 35

Reference 60

Resolution: verified exact; doi, observed 2026-05-21T07:44:02.457109Z

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Observation 3ced0946-fbb4-4d2c-83aa-ee00fa03ecb7 · outbound

This paper cites Prototypical Networks for Few-shot Learning.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Prototypical Networks for Few-shot Learning

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-05-21T07:44:02.779453Z

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This paper cites In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:02.433938Z

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Observation beb03c69-2c92-445c-90a0-8e13f421ea0f · outbound

This paper cites Learning Dense Representations of Phrases at Scale.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Learning Dense Representations of Phrases at Scale

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:02.769344Z

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Observation 627c4b64-f96a-46cc-b2b9-ee122d3b43ab · outbound

This paper cites In: Advances in Neural Information Processing Systems 35.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: Advances in Neural Information Processing Systems 35

Reference 64

Resolution: verified exact; doi, observed 2026-05-21T07:44:02.439779Z

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Observation 8fe7aaaa-72cd-4520-862c-708782358f19 · outbound

This paper cites kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies

Reference 65

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Observation daecb472-d2b5-4a3b-977d-80bed50f7946 · outbound

This paper cites Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models

Reference 66

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Observation 35386812-e37b-405f-bcd9-21f231506859 · outbound

This paper cites No time to train! training-free reference-based instance segmentation.arXiv preprint arXiv:2507.02798, 2025.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation No time to train! training-free reference-based instance segmentation.arXiv preprint arXiv:2507.02798, 2025

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Observation 4f57c749-638e-427d-93ed-407b817d94c6 · outbound

This paper cites Artificial Intelligence Review57(6) (2024) https://doi.org/10.1007/ s10462-024-10775-6.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Artificial Intelligence Review57(6) (2024) https://doi.org/10.1007/ s10462-024-10775-6

Reference 68

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Observation b6b202f8-564d-40f1-89e0-90fd3f25c75d · outbound

This paper cites IEEE Robotics and Automation Letters3(1), 588–595 (2018) https://doi.org/10.1109/lra.2017.2774979.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation IEEE Robotics and Automation Letters3(1), 588–595 (2018) https://doi.org/10.1109/lra.2017.2774979

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Observation 0d5a85a9-b2b8-4deb-a1bb-5bc6f0aa33c9 · outbound

This paper cites SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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Observation adde0f47-83af-4b52-8238-aea4202713c1 · outbound

This paper cites Plant Phenomics5, 0084 (2023) https://doi.org/10.34133/plantphenomics.0084.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Plant Phenomics5, 0084 (2023) https://doi.org/10.34133/plantphenomics.0084

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This paper cites Sensors23(18), 7884 (2023) https://doi.org/10.3390/s23187884.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Sensors23(18), 7884 (2023) https://doi.org/10.3390/s23187884

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Resolution: verified exact; doi, observed 2026-05-21T07:44:02.443654Z

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Observation 30c9ab8e-ef59-47d0-9dd3-637f3378c0a6 · outbound

This paper cites Mitigating Domain Drift in Multi Species Segmentation with DINOv2: A Cross-Domain Evaluation in Herbicide Research Trials.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Mitigating Domain Drift in Multi Species Segmentation with DINOv2: A Cross-Domain Evaluation in Herbicide Research Trials

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-05-21T07:44:02.778422Z

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Observation 558f3dfd-6fc6-4fbc-8027-62ad89935f3d · outbound

This paper cites Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, and Jiashi Feng.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, and Jiashi Feng

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Observation 907f7206-428c-497d-82c1-b928a883db45 · outbound

This paper cites In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

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Resolution: verified exact; doi, observed 2026-05-21T07:44:02.442048Z

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Observation 904b536b-76c8-4e4c-bb28-15bb18a8b445 · outbound

This paper cites In: 2016 IEEE Conference on Computer Vision and Pat- tern Recognition (CVPR), pp.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: 2016 IEEE Conference on Computer Vision and Pat- tern Recognition (CVPR), pp

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Resolution: verified exact; doi, observed 2026-05-21T07:44:02.459443Z

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Observation 6dcdb392-5c29-47f4-916b-b936e97209aa · outbound

This paper cites In: 2014 IEEE Conference on Computer Vision and Pattern Recog- nition, pp.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation In: 2014 IEEE Conference on Computer Vision and Pattern Recog- nition, pp

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Resolution: verified exact; doi, observed 2026-05-21T07:44:02.449481Z

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Observation f9fea89a-1d22-48c7-a7eb-f23b09565c86 · outbound

This paper cites International Journal of Computer Vision133, 1–15 (2025) https://doi.org/10.1007/s11263-024-02185-6.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation International Journal of Computer Vision133, 1–15 (2025) https://doi.org/10.1007/s11263-024-02185-6

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Observation 716e61e4-0db4-4043-ae71-72a064005e4b · outbound

This paper cites IEEE Transactions on Image Processing34, 8271–8284 (2025) https://doi.org/10.1109/TIP.2025.3639996.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation IEEE Transactions on Image Processing34, 8271–8284 (2025) https://doi.org/10.1109/TIP.2025.3639996

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Observation 94928779-5378-415d-9418-9d115843646b · outbound

This paper cites Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

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Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:44:02.841250Z

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Observation c72ced51-a4b9-40c7-bb5f-dbeb51a92f9a · outbound

This paper cites CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation

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