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Paper Citation Record · LEDGER

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving

As of 12 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2412.15595.

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

pith.paper-citation-record.v1
2412.15595 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:20:27.192855Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T22:15:43.401247Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:20:42.195769Z

Reference resolution

70 of 70 outbound references displayed

  • verified exact2
  • verified fuzzy55
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b42664a2-33ab-472e-a778-92d9bc9b0ec7 · outbound

This paper cites Practical classification of different moving targets using automotive radar and deep neural networks.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Practical classification of different moving targets using automotive radar and deep neural networks

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.792050Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:26.996323Z digest=sha256:134f120544a456c7f4e359fc115149b5f474cb5fb0a87d403236ff37dee3fcc1

Observation d3123f33-219e-4818-ac2d-bdd93d4ef89f · outbound

This paper cites The oxford radar robotcar dataset: A radar extension to the oxford robotcar dataset.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving The oxford radar robotcar dataset: A radar extension to the oxford robotcar dataset

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.784464Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:26.999836Z digest=sha256:701ebe460b7c32c1b27f86139a9c5ddfdf602e94e0c0679e50cf3c5eca411cbb

Observation fb261b30-2f32-4ef1-9909-2ac2486a96e4 · outbound

This paper cites Is space-time attention all you need for video understanding? In International Conference on Machine Learning , 2021.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Is space-time attention all you need for video understanding? In International Conference on Machine Learning , 2021

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.776491Z

Source-reported events for the cited work

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

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Observation 63b1805d-2543-467e-9f24-bf53f592290d · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmentation.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Swin-unet: Unet-like pure transformer for medical image segmentation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.769156Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.005687Z digest=sha256:9dba2f7192a87168cb4a07758df11b554e97c0844f2cad1786e01761c2f40f88

Observation ae856661-cb64-405b-b1a0-b654b305f65a · outbound

This paper cites Vehicle classification based on convolutional networks applied to fmcw radar signals.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Vehicle classification based on convolutional networks applied to fmcw radar signals

Reference 5

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raw_fallback, observed 2026-08-11T11:20:27.762658Z

Source-reported events for the cited work

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

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Observation ac0248fa-cf48-48ea-99dc-e321c342914d · outbound

This paper cites End-to-End Object Detection with Transformers.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving End-to-End Object Detection with Transformers

Reference 6

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no resolver link, observed 2026-08-11T11:20:27.015054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.015054Z digest=sha256:cddf41c3443d8e9f9e606a48a49ed4d717aa7d99d0d16c763fc89eea1b098f83

Observation 3e52e9c3-dec6-4c2a-99a5-609e1cc1c8d7 · outbound

This paper cites an unresolved cited work.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-11T11:20:27.756144Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.020036Z digest=sha256:bbd06dac435d92894fa5b1d5c666d0a2a120374a93472bcc1ea7c3f4264bb290

Observation 8061fab5-ed46-4eec-8547-ccd899bf2a5c · outbound

This paper cites an unresolved cited work.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-11T11:20:27.750003Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.023420Z digest=sha256:672af7bfd40639e8c0bc5e1599f608fb57d055bcdcff1e444d05ef7bf63d3400

Observation bc2ad021-e894-4ec8-8c87-8946d0ff3116 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 9

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no resolver link, observed 2026-08-11T11:20:27.026603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.026603Z digest=sha256:b3b4f887634364385faf9364863f164d89bada2e89aa25e1611d9b842d57824b

Observation f6e065eb-38c5-4b38-870a-6829850dc966 · outbound

This paper cites Twins: Revisiting the design of spatial attention in vision transformers.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Twins: Revisiting the design of spatial attention in vision transformers

Reference 10

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no resolver link, observed 2026-08-11T11:20:27.030181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.030181Z digest=sha256:bae8f8a5d7d870543c1a9b4c3c1da59d49b55a20b040aff2ebd52922244513ec

Observation 357451df-bd3d-4983-83b9-0de2d0a4d3ff · outbound

This paper cites Zhang, Yi Zhou, Jungong Han, Guiguang Ding, and Jian Sun.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Zhang, Yi Zhou, Jungong Han, Guiguang Ding, and Jian Sun

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.738683Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.033309Z digest=sha256:e395a2e95225fbd66d04476ea20ef699246fa4cea86bf7d7cd13ca9c23bc06f6

Observation 370ca68c-e463-4a1b-b926-0e7595717b71 · outbound

This paper cites Proba- bilistic oriented object detection in automotive radar.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Proba- bilistic oriented object detection in automotive radar

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.731003Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.036528Z digest=sha256:67a9ccb4f58657e2f96d41d4926a166218a37de135881570bd3968db1a18e6b5

Observation 17c43a70-96d6-441d-b861-9e30a90f0797 · outbound

This paper cites Radar camera fusion via representation learning in autonomous driving.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Radar camera fusion via representation learning in autonomous driving

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.723032Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.038941Z digest=sha256:02ce4a1dfc15052f0ce502346df4595ea0d021ac10e15309e7aef993ececbdb3

Observation 22fe324f-40da-49b0-9ca6-f615465f7c74 · outbound

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

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving An image is worth 16x16 words: Transformers for image recognition at scale

Reference 14

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unresolved
no resolver link, observed 2026-08-11T11:20:27.041126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.041126Z digest=sha256:c394b6bd0602715a1cde3319a0a5a94595a5f8323f43ff2b7319e4da73dbbf4f

Observation fd462afa-5fdd-4c3f-84f4-d0b37b45ae30 · outbound

This paper cites Taming transformers for high-resolution image synthesis, 2020.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Taming transformers for high-resolution image synthesis, 2020

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T11:20:27.043293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.043293Z digest=sha256:eac1f2037e2ec0c01350b8235905d2fdfcd6a6b33df507e1ddd25bdf6c5d3c92

Observation 6a43a97d-6384-44d2-ba8b-c8ac8355bcaa · outbound

This paper cites Segtransconv: Transformer and cnn hybrid method for real-time semantic segmentation of autonomous vehicles.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Segtransconv: Transformer and cnn hybrid method for real-time semantic segmentation of autonomous vehicles

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.707373Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.045326Z digest=sha256:22f9dc1a81859a935f430bf7701648cb29f2574701d0babc431bf93d42cd00c2

Observation 497699d6-9587-4b20-a738-5b537610c678 · outbound

This paper cites Enhanced radar imaging using a complex-valued convolutional neural network.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Enhanced radar imaging using a complex-valued convolutional neural network

Reference 17

Resolution
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raw_fallback, observed 2026-08-11T11:20:27.700086Z

Source-reported events for the cited work

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

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Observation 49b698e1-00fb-4cc2-8c35-df339bfffd50 · outbound

This paper cites Short-range radar-based gesture recog- nition system using 3d cnn with triplet loss.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Short-range radar-based gesture recog- nition system using 3d cnn with triplet loss

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.692096Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.049548Z digest=sha256:089d3403a3947b7bc8464392230fb99e353fe15281c42df0b2a53e8c47f4f8bb

Observation 507b7af4-38a2-4e2c-a29e-3f4141e3b338 · outbound

This paper cites Efficient-rod: Efficient radar object detection based on densely connected residual network.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Efficient-rod: Efficient radar object detection based on densely connected residual network

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.684586Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.052126Z digest=sha256:a56749c28b819c2918ff1d2e7e53c60ba18a18f71dbfab62f1636cb0f7f3b4ad

Observation a4a7f693-0f15-436c-8b65-619f76eae96a · outbound

This paper cites The apolloscape dataset for autonomous driving.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving The apolloscape dataset for autonomous driving

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.676637Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.055017Z digest=sha256:0314a4dcd2c179ce941f7452b47ea4c672839a43de935f00b2548143a6698ecd

Observation 3bbe85a6-92a6-4f49-9332-20578b9d44b1 · outbound

This paper cites SeMask: Semantically Masked Transformers for Semantic Segmentation.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving SeMask: Semantically Masked Transformers for Semantic Segmentation

Reference 21

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verified exact
local_arxiv, observed 2026-08-11T11:20:27.260828Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.058178Z digest=sha256:05ff6db05e590b6c07c2a958d2c7b363f81692d5ab04abfe407cc58a1f2555ce

Observation 4c3426e4-d1e3-4168-b3c4-83fe75f09527 · outbound

This paper cites T-rodnet: Transformer for vehicular millimeter-wave radar object detection.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving T-rodnet: Transformer for vehicular millimeter-wave radar object detection

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.668748Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.061123Z digest=sha256:b8811cf460a5f75b0381253f498da35e81a7dac161f89664003f9cc4133b8486

Observation acd14f7d-bb55-478d-b958-d13bb4defb3a · outbound

This paper cites Liu, Qi Chu, and Nenghai Yu.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Liu, Qi Chu, and Nenghai Yu

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.660595Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.063529Z digest=sha256:73a1b95d25c633e38e71ab32d77659ec10c35cf0ba8e63216ce5c80f80e24bbc

Observation 451ef954-d2b6-4d8c-adbe-52ff1582f8df · outbound

This paper cites Vehicle detection for autonomous driving: A review of algorithms and datasets.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Vehicle detection for autonomous driving: A review of algorithms and datasets

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.653460Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.066049Z digest=sha256:81d985ce46b2b4151c482f4e69d1aa57f25886add0035e1fe17d103c27efc54b

Observation 4a00ef7e-f897-426e-88e5-9f47f573e3a7 · outbound

This paper cites Al Sallab, Senthil Yogamani, and Patrick P ´erez.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Al Sallab, Senthil Yogamani, and Patrick P ´erez

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.645756Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.068793Z digest=sha256:44798521618e336a849c24ed50eec32ceddeb22c9570f37c6e95c7bd04347f35

Observation d264ef4a-6a4c-4d36-b75e-6e7833bcb547 · outbound

This paper cites Zico Kolter, Dirk Langer, Oliver Pink, Vaughan Pratt, Michael Sokolsky, Ganymed Stanek, David Stavens, Alex Teichman, Moritz Werling, and Sebastian Thrun.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Zico Kolter, Dirk Langer, Oliver Pink, Vaughan Pratt, Michael Sokolsky, Ganymed Stanek, David Stavens, Alex Teichman, Moritz Werling, and Sebastian Thrun

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.636259Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.071317Z digest=sha256:3e415959d03f60458a99167dc79e3b5a5f9f2952895a86ec35f1962ed339997a

Observation cf69b30f-e029-45b0-888a-3ea4caf6d1dd · outbound

This paper cites Ds-transunet: Dual swin transformer u-net for medical image segmentation.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Ds-transunet: Dual swin transformer u-net for medical image segmentation

Reference 27

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no resolver link, observed 2026-08-11T11:20:27.074120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.074120Z digest=sha256:e1c8ebfac6348f7218aa6d6f61b76f565582cbdf3e14aeef4b45b36722a5478f

Observation 097fb30e-1f9d-4c45-8aa3-32bd47a165ab · outbound

This paper cites Tsm: Temporal shift module for efficient video understanding.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Tsm: Temporal shift module for efficient video understanding

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.622624Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.076806Z digest=sha256:532a79f3bbff41533174325e1cdee5dc27e8ef07ad9f9d12a2ad32120a025c81

Observation 5c7cfc1d-3484-43be-a0dd-712b53a53b03 · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.615172Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.079546Z digest=sha256:ad272129a9fd78351830cbd0bece88860fd54006bcc8a7a0844ea2403c76eae5

Observation e1c68937-9a47-4f37-8b59-dc955512dc44 · outbound

This paper cites Deep instance segmentation with automotive radar detection points.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Deep instance segmentation with automotive radar detection points

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.607390Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.082344Z digest=sha256:bb64023fe5304eaec4b9bd7b0266d5eaec040019c157b6345bee945e2e422981

Observation e0936131-cfcf-4286-9f3a-f974b189caba · outbound

This paper cites Smurf: Spatial multi-representation fusion for 3d object detection with 4d imaging radar.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Smurf: Spatial multi-representation fusion for 3d object detection with 4d imaging radar

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.599991Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.084929Z digest=sha256:0f5fa6e67d1291da0d5a714741b7c4fec238dba48172b5e290aaac7eb5dd11c5

Observation 529ba96a-d468-4acf-a295-373b8700f5dc · outbound

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

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Swin transformer: Hierarchical vision transformer using shifted windows

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.592398Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.087542Z digest=sha256:0d0af0d85750931c4f50e31c192d74cb527d8a35d6099506c7e2f31fd7839416

Observation 366c63c6-aa71-4bb7-a88c-1f8bda6db2b2 · outbound

This paper cites Video Swin Transformer.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Video Swin Transformer

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T11:20:27.090105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.090105Z digest=sha256:bf7fa3d33856a9a58b1f2071bf78cfa1528efc89748b81f8186aa54c5b9ec832

Observation 8ded2588-9353-42d1-9c2a-1fc6ba7d1269 · outbound

This paper cites Vehicle detection with automotive radar using deep learning on range-azimuth-doppler tensors.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Vehicle detection with automotive radar using deep learning on range-azimuth-doppler tensors

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.584962Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.093185Z digest=sha256:d955af12ecd3d1632689a78facf55a6692be6ae5c0ca299c6dca82c433ee8554

Observation fe2968e1-dd24-4b03-b20f-cb6b5b3cf0b5 · outbound

This paper cites Deep learning based 3d object detection for automotive radar and camera.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Deep learning based 3d object detection for automotive radar and camera

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.577745Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.096087Z digest=sha256:2a56a2dcafb92b7d77d3066b34e84275866846252750def5f79cf0a97c4ac0b9

Observation 7ef9abf7-a824-425f-b278-1d6ff247edf3 · outbound

This paper cites Fundamentals of radar signal processing (richards, m.a.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Fundamentals of radar signal processing (richards, m.a

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.570211Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.098944Z digest=sha256:756ed5f479f03483777164c34dfb582700ab0a9cb546b3a8cb5a24878370f5b9

Observation cc42845f-ce2d-49cd-bb20-e4c937daab6d · outbound

This paper cites de Albuquerque.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving de Albuquerque

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.554679Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.104846Z digest=sha256:a646ae79efeea810bf559dfca3e7b510b47c8ca12d535c74638ae8b354361e8a

Observation af840168-bbff-4c7e-89f1-dc6577027a63 · outbound

This paper cites Rrpn: Radar region proposal network for object detection in autonomous vehicles.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Rrpn: Radar region proposal network for object detection in autonomous vehicles

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.548317Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.107846Z digest=sha256:5b7d9d040d3f3fd88f88c5e555da7d28e06de9888f78843d408d2d52895144ac

Observation 684ebbec-6c8a-4e88-8742-d981606937af · outbound

This paper cites Neubeck and L.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Neubeck and L

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.541715Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.110765Z digest=sha256:fd8d5fd46bcd16bcf9964ff1c42149a62affc219426673432bcf1149fa280d97

Observation 0c07ae25-2427-4b9d-a5d3-eca13c0476fd · outbound

This paper cites Carrada dataset: Camera and automotive radar with range- angle- doppler annotations.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Carrada dataset: Camera and automotive radar with range- angle- doppler annotations

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.534577Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.113570Z digest=sha256:df5de5d30a5b9b45e0b7bf211acd382245186780f370b92d644822e6b4533f4f

Observation a1f43e37-0034-4b57-9da1-e510506244ae · outbound

This paper cites 3d object detection with pointformer.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving 3d object detection with pointformer

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.526195Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.116466Z digest=sha256:b9850a93ed0dea65a8ab7548255395e4ad4f9c78a10cca3a70a0b2d9886b10c3

Observation ad86084b-4b3d-4f3d-bed0-4504a17cbcc6 · outbound

This paper cites Edter: Edge detection with transformer.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Edter: Edge detection with transformer

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.518222Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.119383Z digest=sha256:2c9e357ac97cd5676ccf024f4c5090ae430cb0d9ca7635082fc1e52f6ec03ad4

Observation 676d1c08-39c2-49c1-af46-76d4699d0c6c · outbound

This paper cites Seeing around street corners: Non-line- of-sight detection and tracking in-the-wild using doppler radar.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Seeing around street corners: Non-line- of-sight detection and tracking in-the-wild using doppler radar

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.510169Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.122488Z digest=sha256:c751215087d359b8fbf9b528f0ceb92303dfb83ad261636eb7cea3b292b9ba54

Observation 511cb7a0-6f56-4388-83bc-470814bdbadc · outbound

This paper cites Semantic segmentation on radar point clouds.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Semantic segmentation on radar point clouds

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.502386Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.125323Z digest=sha256:cd9ef875e262c4a3c13f43a167a08bc414641aa3bfa58db0f3a58b7a2141d3e4

Observation 4116bd7d-c8e9-4f39-b09d-c869137a1049 · outbound

This paper cites Squeeze-and- excitation network-based radar object detection with weighted location fusion.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Squeeze-and- excitation network-based radar object detection with weighted location fusion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.494505Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.128146Z digest=sha256:893c2d9b29078e0df96018691c5197d17de829506bd81f0350542493c4f3933a

Observation adb41c90-2e25-4b2c-a53b-fa8c2c8decca · outbound

This paper cites MaxViT: Multi-Axis Vision Transformer.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving MaxViT: Multi-Axis Vision Transformer

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T11:20:27.133268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.133268Z digest=sha256:7a46429b5698c6e5f7feeac8a473400c5b6cb6b7054edaa791badac42fca9952

Observation c56250e7-5252-4e7b-ad43-e302f72f86df · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.481996Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.135925Z digest=sha256:38831807fb485f2466c1f69700a09bb53affb3a1723ca6dfeca740fe03e9c536

Observation 46aaf711-aba8-49f8-ace2-a95638c8f26a · outbound

This paper cites Max-deeplab: End-to-end panoptic segmentation with mask transformers.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Max-deeplab: End-to-end panoptic segmentation with mask transformers

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.474562Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.138002Z digest=sha256:f22a774b79812890e39c9bbdb357d15e2ceb0f3d6988111f145f773a70cdb05f

Observation f00c06a0-7967-4542-9aa9-9dc3c53da8c2 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.467122Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.140080Z digest=sha256:567efc56f08d3babbca834af6d1e8197cb205c258eca894982a18aa068e51009

Observation d2c95016-f81f-4a87-9ed9-082278776cd1 · outbound

This paper cites Transbts: Multimodal brain tumor segmentation using transformer.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Transbts: Multimodal brain tumor segmentation using transformer

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.459780Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.142173Z digest=sha256:3d6de9f6174cf9c5feecb82bcb1305fd2aabd389c961f7117ea43465691ef9ff

Observation fb3ca836-62a6-4bce-9d58-cac40c669236 · outbound

This paper cites Multi-sensor fusion technology for 3d object detection in autonomous driving: A review.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Multi-sensor fusion technology for 3d object detection in autonomous driving: A review

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.452470Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.144896Z digest=sha256:c276352c8bfcfc53e597ea61f855075a38b6113de7c43430a6965f446e41bcf8

Observation f9ea8cf2-47f1-4d1c-a8b2-4e035666ecd2 · outbound

This paper cites Rodnet: A real-time radar object detection network cross-supervised by camera-radar fused object 3d localization.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Rodnet: A real-time radar object detection network cross-supervised by camera-radar fused object 3d localization

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.446577Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.147553Z digest=sha256:a227e8f4573b920006c840142174261d6a837a55c27b3bc101ed7312c5e79af5

Observation 4e4e3b8e-3dad-4500-a5d0-71cdf3edc8a1 · outbound

This paper cites Rethinking of radar’s role: A camera-radar dataset and systematic annotator via coordinate alignment.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Rethinking of radar’s role: A camera-radar dataset and systematic annotator via coordinate alignment

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.440300Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.150347Z digest=sha256:d53174631333b9d4c8703fd5d712f4441b7716071f4699cdda81318b3552156a

Observation 85808ea7-2739-4850-9f63-b9adb50548c5 · outbound

This paper cites Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T11:20:27.153090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.153090Z digest=sha256:4bc76c8c57daada5dd2c61dce1c6db9ddf67268eaeab1ce2f9b977a1e4fda479

Observation d2c6d71f-da1e-4104-9f1e-fe3e30dfeb8b · outbound

This paper cites Dxm-transfuse u-net: Dual cross-modal transformer fusion u-net for automated nerve identification.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Dxm-transfuse u-net: Dual cross-modal transformer fusion u-net for automated nerve identification

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.433154Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.156349Z digest=sha256:aae1c2c8966296a6367218b68e8ba4a23e48693f5f4fa981926903abe43db44d

Observation c7e51768-e3c4-423e-8f0b-076ce729690a · outbound

This paper cites Lxl: Lidar excluded lean 3d object detection with 4d imaging radar and camera fusion.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Lxl: Lidar excluded lean 3d object detection with 4d imaging radar and camera fusion

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.425828Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.159050Z digest=sha256:fcb39c05c3cfa57f1a49cbb991418158e24f382b6cb8fb5e99fdd6d5190bf7c1

Observation 38af9bb4-a5a9-4657-82d2-d95177507349 · outbound

This paper cites Contrastive learning for automotive mmwave radar detection points based instance segmentation.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Contrastive learning for automotive mmwave radar detection points based instance segmentation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.418274Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.161583Z digest=sha256:d83eba9d799cd4fb9341ca0d62a74c88ea5d30e9c9843222b72108186e7c9d73

Observation 0d6f6298-a751-491e-8452-af522cab8de7 · outbound

This paper cites Co-scale conv-attentional image transformers.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Co-scale conv-attentional image transformers

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.409415Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.164148Z digest=sha256:36cb1a45aeb10b47f2b2e577e660143815b7f29010bafb2c2e0765e731cdba8d

Observation daa3238d-2510-4422-b21f-8bb087d228ba · outbound

This paper cites Ralibev: Radar and lidar bev fusion learning for anchor box free object detection systems, 2023.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Ralibev: Radar and lidar bev fusion learning for anchor box free object detection systems, 2023

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.402218Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.166600Z digest=sha256:a141ec4c34ec7186b57c6e075e9170909b8f22c1e234e6f6b3daec7ece4292cb

Observation 20db7e3e-e8d0-4433-8936-a27aacda2c85 · outbound

This paper cites Learning a discriminative feature network for semantic segmentation.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Learning a discriminative feature network for semantic segmentation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.394763Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.169238Z digest=sha256:79dc812bf3a269d729f512622b9c6cd519cbd5b700ab9ff20f84079076dbc5ea

Observation 6e59c680-8b5d-44fe-9637-cf744cf192ae · outbound

This paper cites Raddet: Range- azimuth-doppler based radar object detection for dynamic road users.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Raddet: Range- azimuth-doppler based radar object detection for dynamic road users

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.387123Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.171701Z digest=sha256:5c7029f94b4ffb2768e41d72dbe85227e9ab985fb6738378ad9d78cfe04a95eb

Observation add10e40-b2e4-43df-8a5d-5d151f0b290e · outbound

This paper cites Context Encoding for Semantic Segmentation.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Context Encoding for Semantic Segmentation

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:20:27.228730Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.174567Z digest=sha256:128b2c79ccc180ccaba8cd2f7b08f2be73d85900f4dd42da1a95b7bb0b317e3a

Observation 5892dbc1-d14c-49f7-8e8a-9af807ec1309 · outbound

This paper cites Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.378354Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.177634Z digest=sha256:3835c133c3b6bd94b25495e5ad82cec5fc1f8b4ede1419ce7662445c298cd1e5

Observation b765a988-d418-4d58-901e-581b4f5b5b07 · outbound

This paper cites Pyramid scene parsing network.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Pyramid scene parsing network

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.300333Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.180449Z digest=sha256:e5e4efde4f0bef9859091707f1641f36f79766c74821874b65c429cafff06d54

Observation dcd08817-1aa7-41ff-809f-344dee8b57ff · outbound

This paper cites Rcfusion: Fusing 4-d radar and camera with bird’s-eye view features for 3-d object detection.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Rcfusion: Fusing 4-d radar and camera with bird’s-eye view features for 3-d object detection

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.292855Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.183186Z digest=sha256:20407e39e9fb4391d5b458ccf37cdb2b85be819450d8728cb2fbb0b11056a2f0

Observation e5a06d55-ace5-49e9-b351-af9707684c05 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T11:20:27.186217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.186217Z digest=sha256:fc8685467d3da708054f1e49291bb4c83774eed9d47b4c9684a7c9ea69aa3c2b

Observation 41da85c5-6c54-405b-a45f-01a974abb16c · outbound

This paper cites Lqcanet: Learnable-query-guided multi-scale fusion network based on cross-attention for radar semantic segmentation.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Lqcanet: Learnable-query-guided multi-scale fusion network based on cross-attention for radar semantic segmentation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.286030Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.189907Z digest=sha256:dc191ccd16b63ecbf0fa4d0ee26259585e0f506bb43c3aa721cf6dab4a40deec

Observation d7ef5898-bc6b-4672-9429-7763d7664378 · outbound

This paper cites Effective mmwave radar object detection pretraining based on masked image modeling.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Effective mmwave radar object detection pretraining based on masked image modeling

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.279423Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.192855Z digest=sha256:f6fb6f2b35f92bf22514752cea82500b4bf9fb474e265b34627b704d1da89a54

Observation a49205ce-3e81-4edf-8d3f-a72c14b2cb8f · outbound

This paper cites IEEE Signal Processing Magazine , 26(3):100– 101, 2009.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving IEEE Signal Processing Magazine , 26(3):100– 101, 2009

Reference 2005

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:20:27.561681Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T11:20:27.101934Z digest=sha256:0f172833fe20721aca7f81fea7ffc9255c665701c8e020fbd0e6eee7386f5f8c

Observation 26acf838-a8b3-4059-980d-e47306eccefa · outbound

This paper cites an unresolved cited work.

Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving Unresolved cited work

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T11:20:27.130957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:20:27.130957Z digest=sha256:5ae7fd51676545155d6a0b33307b8308d09a998a1475006a5de5331de24b9e7f

Pith citing papers

Observation 702ee321-5b09-4631-b0b6-dc031999171d · inbound

mRadNet: A Compact Radar Object Detector with MetaFormer cites this paper.

mRadNet: A Compact Radar Object Detector with MetaFormer Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:20:42.197920Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-21T22:15:43.401247Z digest=sha256:7117f17828406d21ac77f0a1a0c21ab4f8d567e4709b78797de7e092d05c62b3

Observation 241f91cd-3e32-4130-9512-189b6ec9c3f2 · inbound

Redefining Radar Segmentation: Simultaneous Static-Moving Segmentation and Ego-Motion Estimation using Radar Point Clouds cites this paper.

Redefining Radar Segmentation: Simultaneous Static-Moving Segmentation and Ego-Motion Estimation using Radar Point Clouds Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:31:33.705687Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-17T05:29:34.558894Z digest=sha256:fece6ea560304f4425d0d38058127bb9eceb8b1ba3b298f2e0f04870fafe9dec