HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone | Paper Citation Record

Observation ed41d838-3265-4631-94c3-836522b34e04 · outbound

This paper cites Sparse Recovery of Hyperspectral Signal from Nat- ural RGB Images.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Sparse Recovery of Hyperspectral Signal from Nat- ural RGB Images

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.949956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16991eea-710b-454f-a8aa-0079a628e97d · outbound

This paper cites Mohamed Mansoor Roomi.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Mohamed Mansoor Roomi

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.933345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f030a25-221a-4053-82ee-48a482c56788 · outbound

This paper cites NTIRE 2022 Spectral Demosaicing Challenge and Data Set.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone NTIRE 2022 Spectral Demosaicing Challenge and Data Set

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.935164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6fff295a-11ab-467b-80f8-44106283bb2d · outbound

This paper cites Labeled Hyperspectral and RGB Images of Several Tree Species.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Labeled Hyperspectral and RGB Images of Several Tree Species

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.943455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a61b881-8617-4234-8135-3c5cc75320f9 · outbound

This paper cites SAM 3: Segment anything with concepts.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone SAM 3: Segment anything with concepts

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.884840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e13878aa-0248-4f70-af13-0e0dd2f3af26 · outbound

This paper cites Statistics of real-world hyperspectral images.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Statistics of real-world hyperspectral images

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.888478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e22a28f4-fa3c-4dc6-88b4-21e5871a14e9 · outbound

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

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Encoder-Decoder with Atrous Separable Convolution for Semantic Image Seg- mentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.891259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aed916e7-9d7b-45bd-ad42-d47329a8e2c0 · outbound

This paper cites SENSE: Hyperspectral video object tracker via fusing material and motion cues.Inf.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone SENSE: Hyperspectral video object tracker via fusing material and motion cues.Inf

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.896940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b512827-870f-43e1-a6f0-c66964aafb69 · outbound

This paper cites Foster and Adam Reeves.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Foster and Adam Reeves

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.899679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5ac876b-4732-489a-85ce-eb8c693c2d4a · outbound

This paper cites Visible – Near infrared hyperspectral dataset of healthy and in- fected apple tree leaves images for the monitoring of apple fire blight.Data in Brief, 50:109532.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Visible – Near infrared hyperspectral dataset of healthy and in- fected apple tree leaves images for the monitoring of apple fire blight.Data in Brief, 50:109532

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.937193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e00826a3-8cf5-4653-b656-c222e4c1df47 · outbound

This paper cites Gaidel, V .V.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Gaidel, V .V

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.299279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14937682-a126-4458-b1b1-4a73594dcc64 · outbound

This paper cites CBFF- Net: A New Framework for Efficient and Accurate Hyperspectral Object Tracking.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone CBFF- Net: A New Framework for Efficient and Accurate Hyperspectral Object Tracking

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.302359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb3f20e5-c70e-4eb6-b1b9-dad11be6b215 · outbound

This paper cites Victoria Martínez, and Unai Martinez-Corral.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Victoria Martínez, and Unai Martinez-Corral

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.876560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc600123-e85e-44ee-b15d-62bef2ed89cb · outbound

This paper cites A Hyperspectral and RGB Dataset for Build- ing Façade Segmentation.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone A Hyperspectral and RGB Dataset for Build- ing Façade Segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.868295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a9a3cca-59a7-42e2-9fde-224cc944240d · outbound

This paper cites Hyper-Drive: Visible-Short Wave Infrared Hyperspectral Imaging Datasets for Robots in Unstructured Environments.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Hyper-Drive: Visible-Short Wave Infrared Hyperspectral Imaging Datasets for Robots in Unstructured Environments

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.873868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58672c4d-588f-467f-8a8a-14ce3d2acd7b · outbound

This paper cites Deep Residual Learning for Image Recognition.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Deep Residual Learning for Image Recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.939007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e63e0d4f-54c9-4430-96bf-649f7e7a1d6a · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Masked Autoencoders Are Scalable Vision Learners

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.941239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f7a40762-70dd-4d62-b93d-b8bc089cc0a0 · outbound

This paper cites SpectralGPT: Spectral Remote Sensing Foun- dation Model.IEEE Trans.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone SpectralGPT: Spectral Remote Sensing Foun- dation Model.IEEE Trans

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.945562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e83a146f-ec50-434c-8f24-9adaa26ca311 · outbound

This paper cites Spectral simulation and method design of camouflage textiles for concealment of hyperspectral imaging in UV-VIS-IR against multidimensional combat background.J.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Spectral simulation and method design of camouflage textiles for concealment of hyperspectral imaging in UV-VIS-IR against multidimensional combat background.J

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.925496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cca645b4-13f8-4806-bbf6-d4ea3e1b1f2d · outbound

This paper cites Spatial–Spectral Weighted and Regu- larized Tensor Sparse Correlation Filter for Object Tracking in Hyperspectral Videos.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Spatial–Spectral Weighted and Regu- larized Tensor Sparse Correlation Filter for Object Tracking in Hyperspectral Videos

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.927515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 251fa1c7-8660-4595-bb99-5817a332b1c9 · outbound

This paper cites HSICityV2: Urban Scene Understanding via Hyperspectral Images.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone HSICityV2: Urban Scene Understanding via Hyperspectral Images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.929480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01d9d452-ccba-4cf4-996e-67ddb3470ae0 · outbound

This paper cites Hyperspectral adapter for semantic segmentation with vision foundation models.IEEE Robotics and Automation Letters, 11(3):3606–3613.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Hyperspectral adapter for semantic segmentation with vision foundation models.IEEE Robotics and Automation Letters, 11(3):3606–3613

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.918415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7659fb28-808b-4d45-be00-aec043047108 · outbound

This paper cites Hyperspectral Image Dataset for Benchmarking on Salient Object Detection.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.271384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7eef86e7-b07e-41fe-8184-61945f7d4c53 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.953491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 86c9a0d0-c6e1-4631-a05f-ba70414bea06 · outbound

This paper cites Hy- perFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Hy- perFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.334609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c61b8fd9-badd-43bc-90bc-ddaedb98f100 · outbound

This paper cites RGB-induced feature modulation network for hyperspectral image super-resolution.IEEE Transactions on Geoscience and Remote Sensing, 61:1–11.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone RGB-induced feature modulation network for hyperspectral image super-resolution.IEEE Transactions on Geoscience and Remote Sensing, 61:1–11

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:00.433794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d4684c0-c62c-41dc-a7ca-9b5fcc3534c0 · outbound

This paper cites SiamBAG: Band Attention Grouping- Based Siamese Object Tracking Network for Hyperspectral Videos.IEEE Trans.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone SiamBAG: Band Attention Grouping- Based Siamese Object Tracking Network for Hyperspectral Videos.IEEE Trans

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.331813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6e03707-f11c-4cae-b666-ac6bb725fe61 · outbound

This paper cites BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.862670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0856c1f7-78ae-4588-8966-683924ee44b4 · outbound

This paper cites Material- Guided Siamese Fusion Network for Hyperspectral Object Tracking.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Material- Guided Siamese Fusion Network for Hyperspectral Object Tracking

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.328348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d142224-df48-4653-bae1-b8ddecedc322 · outbound

This paper cites Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.337637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b195ad8-c82c-49d6-9cbf-88afb73173db · outbound

This paper cites Spectrum- Driven Mixed-Frequency Network for Hyperspectral Salient Object Detection.IEEE Trans.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Spectrum- Driven Mixed-Frequency Network for Hyperspectral Salient Object Detection.IEEE Trans

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.313738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e9b8fd9-02ca-4f4a-aea3-e825430a7b52 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer Using Shifted Win- dows.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Swin Transformer: Hierarchical Vision Transformer Using Shifted Win- dows

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.310980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e72a7ada-4617-457a-8442-96dd225781cc · outbound

This paper cites SiamHYPER: Learning a hyperspectral object tracker from an rgb-based tracker.IEEE Trans.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone SiamHYPER: Learning a hyperspectral object tracker from an rgb-based tracker.IEEE Trans

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.319827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84280dd0-c130-48ec-bcde-819b041424bf · outbound

This paper cites HSI Road: A Hyper Spectral Image Dataset For Road Segmentation.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone HSI Road: A Hyper Spectral Image Dataset For Road Segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.323140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec8c5396-1b71-485f-abfe-c04bf3367bb7 · outbound

This paper cites Nascimento, Kinjiro Amano, and David H.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Nascimento, Kinjiro Amano, and David H

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.305303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 240b968f-c579-4f8e-bfa5-1d3f964c88a4 · outbound

This paper cites Context- Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Context- Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:24:21.308150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a52dbca-4589-4483-b830-6a8d621df1bf · outbound

This paper cites an unresolved cited work.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-07-07T23:24:21.325613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d6575ed-b113-48bb-a63a-a4f5016cf935 · outbound

This paper cites Zaiane, and Martin Jagersand.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Zaiane, and Martin Jagersand

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.951811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4d5020a-2187-4281-a8ef-ccee0441ed9e · outbound

This paper cites HSOD- BIT-V2: A Challenging Benchmark for Hyperspectral Salient Object Detection.Proc.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone HSOD- BIT-V2: A Challenging Benchmark for Hyperspectral Salient Object Detection.Proc

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.920736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71cea01e-e16d-43f9-8c0c-3db4f0531ed6 · outbound

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

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Learning Transferable Visual Models From Natural Language Supervision

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.956681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe7066a1-c327-40bf-bb65-b34125b35b74 · outbound

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

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone SAM 2: Segment Anything in Images and Videos

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.959036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f124e99f-c643-4734-b724-286596abb1d5 · outbound

This paper cites A dataset for evaluating blood detection in hyperspectral images.F orensic Sci.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone A dataset for evaluating blood detection in hyperspectral images.F orensic Sci

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.910960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 321cf1a9-cb94-46a9-a4a3-fceba06fc124 · outbound

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

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.879770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e6b4512-72ce-4b5b-8252-4981e5a3d751 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.871037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53864b6b-ff8a-4d34-be69-41ba9044a228 · outbound

This paper cites an unresolved cited work.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-07-07T23:34:19.907658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1142cb04-3f9c-40eb-9c77-d0e8c11dbe64 · outbound

This paper cites BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.913461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4e588f5-79d1-46cc-b69d-d887412058b7 · outbound

This paper cites HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.923206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d18ba397-70fc-4512-a44e-e212776df8ef · outbound

This paper cites Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.901778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7319a39d-4381-489e-8595-4e63438a7724 · outbound

This paper cites A Fast Neighborhood Grouping Method for Hyperspectral Band Selection.IEEE Trans.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone A Fast Neighborhood Grouping Method for Hyperspectral Band Selection.IEEE Trans

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.904122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38a95c9a-4246-4f06-8907-c3ee38774bbc · outbound

This paper cites PVT v2: Improved baselines with pyramid vision trans- former.Comput.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone PVT v2: Improved baselines with pyramid vision trans- former.Comput

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.906593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b910415-38d1-444e-8440-110f74e77aaa · outbound

This paper cites 100 radical innovation breakthroughs for the future.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone 100 radical innovation breakthroughs for the future

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.916017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49a6a2bc-7583-49c6-8e88-e878f55eed1c · outbound

This paper cites HyKo: A Spectral Dataset for Scene Understanding.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone HyKo: A Spectral Dataset for Scene Understanding

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.931422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1d8d46b-ba24-4bcb-9f68-431e840698be · outbound

This paper cites Material Based Object Tracking in Hyperspectral Videos.IEEE Trans.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Material Based Object Tracking in Hyperspectral Videos.IEEE Trans

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.947783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f5079f2-3d3b-4295-9da1-547dbbedc5e6 · outbound

This paper cites Hyperspectral Object Tracking Challenge.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Hyperspectral Object Tracking Challenge

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.865622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bed37d03-a74b-4856-b3cc-2909815cbec7 · outbound

This paper cites an unresolved cited work.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-07-07T23:34:19.877557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efd1c324-ee07-441e-bdc4-467be1e19840 · outbound

This paper cites Hyperspectral City V1.0 Dataset and Benchmark.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Hyperspectral City V1.0 Dataset and Benchmark

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:00.874546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0085edf6-68f7-463c-950b-f97ca958f105 · outbound

This paper cites an unresolved cited work.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-07-07T23:34:19.881764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da1ee810-33e4-46f2-ab39-18f9f3ce921a · outbound

This paper cites Visual Prompt Multi-Modal Tracking.

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone Visual Prompt Multi-Modal Tracking

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:34:19.893940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers