CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation | Paper Citation Record

Observation 830cc371-cba2-4162-9dd7-d1ee6f558334 · outbound

This paper cites A lightweight transformer network for hyperspectral image classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation A lightweight transformer network for hyperspectral image classification,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:34.395759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 70114596-166e-4d00-85b3-e0ae81b3cf55 · outbound

This paper cites LMFFNet: A well-balanced lightweight network for fast and accurate semantic segmentation,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation LMFFNet: A well-balanced lightweight network for fast and accurate semantic segmentation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:34.377801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9189f376-b54f-4aef-8af9-5d5cd402b601 · outbound

This paper cites Context enhancing representation for semantic segmentation in remote sensing images,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Context enhancing representation for semantic segmentation in remote sensing images,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:34.342788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 282d573a-3364-4e27-bf49-b7b6662640fb · outbound

This paper cites Deep fusion of localized spectral features and multi-scale spatial features for effective classification of hyperspectral images,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Deep fusion of localized spectral features and multi-scale spatial features for effective classification of hyperspectral images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:34.308624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ead3b1c-2031-4f17-ae8b-bc7a1bbd657a · outbound

This paper cites Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:34.220970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d94a38cc-1464-4e1e-96f0-82067363149d · outbound

This paper cites Ground-based hyperspectral analysis of the urban nightscape,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Ground-based hyperspectral analysis of the urban nightscape,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:34.159685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b071437-7e90-440b-9bf6-57a63014d31f · outbound

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

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation SegFormer: Simple and efficient design for semantic segmentation with transformers,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:34.141103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9aa00419-b2d3-423f-8d32-ec68e5ab460e · outbound

This paper cites Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:34.123613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 51e95722-0bde-46e4-9cd2-fc0af0fcb8b7 · outbound

This paper cites A multi-scale progressive collaborative attention network for remote sensing fusion classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation A multi-scale progressive collaborative attention network for remote sensing fusion classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:34.044214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 30b0d5f8-1c05-4dd7-8e78-14a4b65173b2 · outbound

This paper cites Mitigating modality discrepancies for rgb-t semantic segmentation,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Mitigating modality discrepancies for rgb-t semantic segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.985643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3578c3dc-8a80-4cea-bb54-310001d388fe · outbound

This paper cites Pixel-level image fusion: A survey of the state of the art,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Pixel-level image fusion: A survey of the state of the art,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.965996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 23968302-c9f7-4802-b2d6-3d9d591408ed · outbound

This paper cites Hyperspectral and LiDAR fusion using extinction profiles and total variation component analysis,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Hyperspectral and LiDAR fusion using extinction profiles and total variation component analysis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.947095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cffaf90b-1683-4dd7-a37e-d9e32ae418c8 · outbound

This paper cites Application of majority voting to pattern recog- nition: An analysis of its behavior and performance,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Application of majority voting to pattern recog- nition: An analysis of its behavior and performance,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.861574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ebabd50-d460-46d2-a975-4ff9b4027779 · outbound

This paper cites Extinction profiles: A novel approach for the analysis of remote sensing data,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Extinction profiles: A novel approach for the analysis of remote sensing data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.843669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c0317aec-8a55-4f99-83f6-fc2925e1a174 · outbound

This paper cites Multi-source remotely sensed data fusion for improving land cover classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Multi-source remotely sensed data fusion for improving land cover classification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.824826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04142345-e019-411f-9abb-8eca1ef7eaf0 · outbound

This paper cites Fusion of hyperspectral and LiDAR data using sparse and low-rank component analysis,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Fusion of hyperspectral and LiDAR data using sparse and low-rank component analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.750110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cf8e6c3e-98eb-4e5f-9bf6-f2f1c0f5fa69 · outbound

This paper cites Manifold learning: what, how, and why,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Manifold learning: what, how, and why,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.661756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f91e837b-ff90-44dc-9657-d85cad8130de · outbound

This paper cites Hyperspec- tral and multispectral image fusion based on a sparse representation,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Hyperspec- tral and multispectral image fusion based on a sparse representation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.580097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca76a355-e915-4c12-89f6-f24f65a0a40f · outbound

This paper cites CMX: Cross-modal fusion for RGB-X semantic segmentation with transform- ers,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation CMX: Cross-modal fusion for RGB-X semantic segmentation with transform- ers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.504352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d181c7e-6985-4bc9-9727-e28cad77238b · outbound

This paper cites Hyperspectral and sar image classification via multiscale interactive fusion network,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Hyperspectral and sar image classification via multiscale interactive fusion network,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.486250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 59c76f85-f1f3-4c2f-b11b-c52fc2b13650 · outbound

This paper cites Robust self-ensembling network for hyperspectral image classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Robust self-ensembling network for hyperspectral image classification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.403114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2d0bf7a-7ccd-439d-8fdf-259b259876e7 · outbound

This paper cites Deep feature aggregation frame- work driven by graph convolutional network for scene classification in remote sensing,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Deep feature aggregation frame- work driven by graph convolutional network for scene classification in remote sensing,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.311101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fcd659fa-6213-4b51-9a79-af63d9d8694f · outbound

This paper cites MGML: Multigranularity multilevel feature ensemble network for remote sensing scene classifica- tion,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation MGML: Multigranularity multilevel feature ensemble network for remote sensing scene classifica- tion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.293023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 79704a06-9a80-451e-93c7-4a67876a5446 · outbound

This paper cites Escaping the Big Data Paradigm with Compact Transformers.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Escaping the Big Data Paradigm with Compact Transformers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T21:13:29.294630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd54761e-0c59-42a9-b4fe-7397083eb1eb · outbound

This paper cites Deep fusion of remote sensing data for accurate classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Deep fusion of remote sensing data for accurate classification,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.199205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fb4cd88d-c30c-4733-b077-58982535c8c9 · outbound

This paper cites Deep encoder–decoder networks for classification of hyperspectral and LiDAR data,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Deep encoder–decoder networks for classification of hyperspectral and LiDAR data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.112966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a15b0a2f-fefd-4023-accb-57204154af58 · outbound

This paper cites Deep residual network- based fusion framework for hyperspectral and LiDAR data,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Deep residual network- based fusion framework for hyperspectral and LiDAR data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.096455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b0f0e9c-b359-4fc0-84da-7b0bd3c13e3c · outbound

This paper cites More diverse means better: multimodal deep learn- ing meets remote-sensing imagery classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation More diverse means better: multimodal deep learn- ing meets remote-sensing imagery classification,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.079901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f7c640d2-d927-4d1d-8418-289e24f7e587 · outbound

This paper cites Objective evaluation-based efficient learning framework for hyperspectral image classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Objective evaluation-based efficient learning framework for hyperspectral image classification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:33.007866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 052f8142-e7ad-4594-8959-96b22813c7c8 · outbound

This paper cites Squeeze-and-excitation networks,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Squeeze-and-excitation networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.953457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d2ed8e98-fd55-4e1d-a443-fb98713dc153 · outbound

This paper cites Dual attention network for scene segmentation,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Dual attention network for scene segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.935119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ee9fd7b-95d3-4147-b849-406f6650add2 · outbound

This paper cites Imbalance knowledge-driven multi-modal network for land-cover semantic seg- mentation using aerial images and LiDAR point clouds,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Imbalance knowledge-driven multi-modal network for land-cover semantic seg- mentation using aerial images and LiDAR point clouds,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.833460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f5f3d77-4f9c-47b3-a45c-19ff2085383b · outbound

This paper cites Multimodal attention- aware convolutional neural networks for classification of hyperspectral and LiDAR data,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Multimodal attention- aware convolutional neural networks for classification of hyperspectral and LiDAR data,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.818659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33d8402c-f700-4c0a-b36a-f634bbc49e39 · outbound

This paper cites Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.802407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c90229e7-c255-466c-a026-782f069c095d · outbound

This paper cites FusAtNet: Dual attention based spectrospatial multimodal fusion network for hyperspec- tral and LiDAR classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation FusAtNet: Dual attention based spectrospatial multimodal fusion network for hyperspec- tral and LiDAR classification,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.674226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3efe9399-1341-4de4-99f3-c69cc6a65b45 · outbound

This paper cites A triplet semisupervised deep network for fusion classification of hyperspectral and LiDAR data,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation A triplet semisupervised deep network for fusion classification of hyperspectral and LiDAR data,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.656942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7a878935-08c2-4750-8972-c557e3503083 · outbound

This paper cites Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Multi-attentive hierarchical dense fusion net for fusion classification of hyperspectral and LiDAR data,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.601546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 79b23d9b-b63a-40a9-bd94-50badbc9b805 · outbound

This paper cites Multiscale deep learning network with self-calibrated convolution for hyperspectral and LiDAR data collaborative classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Multiscale deep learning network with self-calibrated convolution for hyperspectral and LiDAR data collaborative classification,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.438426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 355cde99-1def-40d8-a850-d2faed22903d · outbound

This paper cites Cross hyperspectral and lidar attention transformer: An extended self-attention for land use and land cover classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Cross hyperspectral and lidar attention transformer: An extended self-attention for land use and land cover classification,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.421738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d0b0637-9c56-4382-b5cb-323ea1f135c9 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.403129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 056f7a27-4020-4334-8649-07074fea753d · outbound

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

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Swin Transformer: Hierarchical vision transformer using shifted windows,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.298063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 339ae8bf-ab14-430c-8500-496ea1f6dfff · outbound

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

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Rethinking semantic segmentation from a sequence- to-sequence perspective with transformers,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.211154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95c58d97-267a-4686-8ebe-eea4e84179f9 · outbound

This paper cites Multimodal fusion transformer for remote sensing image classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Multimodal fusion transformer for remote sensing image classification,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.157206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e09c2537-0aee-4fc4-804d-ae20d7d74ad4 · outbound

This paper cites Deep hierarchical vision transformer for hyperspectral and LiDAR data classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Deep hierarchical vision transformer for hyperspectral and LiDAR data classification,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.052309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cb1fd459-b4e0-492c-90be-bdf933a9bdbb · outbound

This paper cites Local information interaction transformer for hyperspectral and LiDAR data classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Local information interaction transformer for hyperspectral and LiDAR data classification,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:32.034053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3fb7f664-7e2e-4b62-8c52-7482f241f9f9 · outbound

This paper cites Global–local transformer network for HSI and LiDAR data joint classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Global–local transformer network for HSI and LiDAR data joint classification,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:31.930376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c4b6e92b-dfe7-4d53-bd30-f7a2c46a19ca · outbound

This paper cites CoT: Contourlet transformer for hierarchical semantic segmentation,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation CoT: Contourlet transformer for hierarchical semantic segmentation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:31.854687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5531bf7a-f20a-4b8e-99ea-6da03b124546 · outbound

This paper cites Scaling up your kernels to 31×31: Revisiting large kernel design in CNNs,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Scaling up your kernels to 31×31: Revisiting large kernel design in CNNs,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:31.767170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 87cb7c38-ee8c-44a4-8ace-2fc2cb078736 · outbound

This paper cites UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T21:13:30.080245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e289213a-12c4-4fc2-87df-e4ad963e3bdd · outbound

This paper cites InternImage: Exploring large-scale vision foundation models with deformable convolutions,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation InternImage: Exploring large-scale vision foundation models with deformable convolutions,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:31.507932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e0b282a5-ca77-45cc-99ca-018b20660755 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Mamba: Linear-time sequence modeling with selective state spaces,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T21:13:30.201334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41bb1100-b158-4fb0-80ec-479e4e934190 · outbound

This paper cites Deformable ConvNets V2: More deformable, better results,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Deformable ConvNets V2: More deformable, better results,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:31.476835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bc52709a-1eed-4aab-9680-d9dafcb5d1b4 · outbound

This paper cites Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T21:13:30.317295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da4525b-1195-49e6-9c70-9ab10af23cbd · outbound

This paper cites Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS data fusion contest,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS data fusion contest,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:31.360465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b10d911f-0546-4cf5-bdbb-e6f7dac3a5cb · outbound

This paper cites Joint classification of hyperspectral and LiDAR data using a hierarchical CNN and trans- former,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Joint classification of hyperspectral and LiDAR data using a hierarchical CNN and trans- former,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:31.786738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3c86754c-cd3c-4917-a196-39333faea688 · outbound

This paper cites Deformable convolutional networks,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Deformable convolutional networks,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:31.219417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54a47033-db6a-4bd7-a4d1-be81b76de3cc · outbound

This paper cites Vmamba: Visual state space model,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Vmamba: Visual state space model,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:31.091887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6941db3c-4406-4890-adbb-a2d8d47b5d72 · outbound

This paper cites Layer Normalization.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Layer Normalization

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T21:13:30.469829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6237b015-14a9-4c1b-b46f-d2bfeeff668a · outbound

This paper cites Beyond self-attention: Deformable large kernel attention for medical image segmentation,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Beyond self-attention: Deformable large kernel attention for medical image segmentation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:30.953036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dad0c1af-f048-44af-b1e1-36588ed64919 · outbound

This paper cites UNETR++: Delving into efficient and accurate 3D medical image segmentation,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation UNETR++: Delving into efficient and accurate 3D medical image segmentation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:30.844746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 201b93d8-c78f-4574-9f8f-1a36c0d982f2 · outbound

This paper cites Support-vector networks,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation Support-vector networks,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T21:13:30.597300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d649f1-43ae-4f4d-927a-9b492f015779 · outbound

This paper cites A multistage information complementary fusion network based on flexible-mixup for hsi-x image classification,.

CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation A multistage information complementary fusion network based on flexible-mixup for hsi-x image classification,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:13:30.746228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers