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Paper Citation Record · LEDGER

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection

As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2504.16368.

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

pith.paper-citation-record.v1
2504.16368 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:10:11.965820Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6932ac3c-a27f-4c57-b005-db252a89ff9b · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 1

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Observation 0b39b755-21a8-4f2e-ac79-967ea930fe12 · outbound

This paper cites Petr: Position embedding trans- formation for multi-view 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Petr: Position embedding trans- formation for multi-view 3d object detection,

Reference 2

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source=pdf_text observed=2026-08-16T11:10:11.569710Z digest=sha256:cb78b427c5a72ed4cf053675716da8b9d09dda696f4ab2354f12ecb32e620404

Observation a2795354-6e70-4262-83c1-b8dd491ad0ba · outbound

This paper cites Exploring object- centric temporal modeling for efficient multi-view 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Exploring object- centric temporal modeling for efficient multi-view 3d object detection,

Reference 3

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Observation 608815c1-c9d7-450f-adf0-89f74f2536c9 · outbound

This paper cites Bevnext: Reviving dense bev frameworks for 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Bevnext: Reviving dense bev frameworks for 3d object detection,

Reference 4

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source=pdf_text observed=2026-08-16T11:10:11.579425Z digest=sha256:f1ccde3c6d5dc6dba0986f1b5ab01c914e2f12e650174581901fcb82c7511af1

Observation a1060b77-1c01-4113-bdd6-c2465f10924c · outbound

This paper cites 3dppe: 3d point positional encoding for transformer-based multi-camera 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection 3dppe: 3d point positional encoding for transformer-based multi-camera 3d object detection,

Reference 5

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9ddd5857-d8f5-4dbc-b005-aa487ff8112e · outbound

This paper cites Graph-detr4d: Spatio-temporal graph modeling for multi-view 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Graph-detr4d: Spatio-temporal graph modeling for multi-view 3d object detection,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 374ee0f6-d961-425c-ad2d-5b75b8b95bb5 · outbound

This paper cites Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception

Reference 7

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source=pdf_text observed=2026-08-16T11:10:11.595180Z digest=sha256:bcc487c1ec3b06847dc684d5b42f10cb87f96d29eb76e369a7a3537ad9466485

Observation 719da30e-e249-445d-abf5-5fed127b7943 · outbound

This paper cites Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection,

Reference 8

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b7e1327a-6870-46ec-8b7c-85bbe8c0c2d8 · outbound

This paper cites Futr3d: A unified sensor fusion framework for 3d detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Futr3d: A unified sensor fusion framework for 3d detection,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.605227Z digest=sha256:c4e8c6d52c69db66366fa9fcaf14024ae82e2f197b9d6e99e86d364b8254656b

Observation be43606f-3930-4ee7-a707-46c80562fea8 · outbound

This paper cites Sparsefusion3d: Sparse sensor fusion for 3d object detection by radar and camera in environmental perception,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Sparsefusion3d: Sparse sensor fusion for 3d object detection by radar and camera in environmental perception,

Reference 10

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.609927Z digest=sha256:4ad25086f04a50287fa562a4f94317e4c4affdf68002d4277f0553a9135a96a4

Observation e3837ed6-ea59-46cc-811f-3452d3f7014c · outbound

This paper cites Crn: Camera radar net for accurate, robust, efficient 3d perception,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Crn: Camera radar net for accurate, robust, efficient 3d perception,

Reference 11

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.614449Z digest=sha256:7cce0362a950a7d52374e6fea7d445e7d5bf699d1398978971fc651076f574c7

Observation 6738784e-cf37-426c-b01c-96c9a7ca8dc4 · outbound

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

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 12

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source=pdf_text observed=2026-08-16T11:10:11.618897Z digest=sha256:9889b93a033901e9ac2798b720021ca4a6d77507183a050778e5e5dfd83d8ece

Observation 47a2a1ae-78e5-4923-8896-2e7b7015fa6d · outbound

This paper cites Fcos3d: Fully convolutional one- stage monocular 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Fcos3d: Fully convolutional one- stage monocular 3d object detection,

Reference 13

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source=pdf_text observed=2026-08-16T11:10:11.624442Z digest=sha256:6412c3deb0ab547dd523e58aba0eb97592ecafc0f1e8aaefac101ee0c6848786

Observation 59e69699-816a-4ada-8e4f-c0cb479b002d · outbound

This paper cites Objects as Points.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Objects as Points

Reference 14

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source=pdf_text observed=2026-08-16T11:10:11.628928Z digest=sha256:37a6d9198482a97941a7d9c3edd361676022ece1fa230113f5b8170fbbd363a6

Observation 28546750-89b1-4489-8456-7a1cde35a836 · outbound

This paper cites Progressive coordinate transforms for monocular 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Progressive coordinate transforms for monocular 3d object detection,

Reference 15

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.633728Z digest=sha256:70c11c21e9c5481b246c24e13ce2f29bb54d848114b5c423a302686bd1982f4d

Observation 372d58f1-cf01-45ba-8bf7-eeea65e8205d · outbound

This paper cites Stereoscopic vision recalling memory for monocular 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Stereoscopic vision recalling memory for monocular 3d object detection,

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.638094Z digest=sha256:b10a045947f0a8b8a36fb19bd6cd35fa6c8efffd70863f3ec8c9998484196148

Observation 1a102649-3c91-4ae1-934e-a777835f0d0d · outbound

This paper cites Obmo: One bounding box multiple objects for monocular 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Obmo: One bounding box multiple objects for monocular 3d object detection,

Reference 17

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.642571Z digest=sha256:e244347552401cfaa4dd1e961a83eb71ec664d9f829284eef3ecca527d6ff4c3

Observation 21e86fde-3e67-41b3-93f2-142d7a2cb32f · outbound

This paper cites Query-based temporal fusion with explicit motion for 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Query-based temporal fusion with explicit motion for 3d object detection,

Reference 18

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 05711bc7-5eba-4e8e-9c6b-8ef74ca0250d · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,

Reference 19

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source=pdf_text observed=2026-08-16T11:10:11.651853Z digest=sha256:b1bb7833809ddd97a67cb4c5a46bd6839c6738470b4e646c0d14ec01cdb1cbbf

Observation ed5156df-4d18-4e45-bacc-4073e455188a · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 20

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source=pdf_text observed=2026-08-16T11:10:11.657045Z digest=sha256:2de7dc2a0a1bdf8c9584ba7ea58e55f746395bdeb35707248fc0f64e1da2b663

Observation 17eddc5e-8408-471e-b277-391cbf62b76b · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion,

Reference 21

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source=pdf_text observed=2026-08-16T11:10:11.662174Z digest=sha256:97e4b96fbbe487e1950a93949935f98d3159dc82fb8c98d0311159ec72157189

Observation 719cc0e6-23b0-454e-8a38-2dc6fe8bcc00 · outbound

This paper cites Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,

Reference 22

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source=pdf_text observed=2026-08-16T11:10:11.666865Z digest=sha256:7baffd60c2012abaa2a69e96d413b1bc6bc7d4b1fd31e09c51630d76cfafe83c

Observation 4f954abe-9508-48d6-9e3d-47cade9fbe52 · outbound

This paper cites M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection M$^2$BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

Reference 23

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source=pdf_text observed=2026-08-16T11:10:11.671588Z digest=sha256:78f4e5350f6ec83012f373babbbf1a26daedaeec518e2ebbf20866a22712b7ca

Observation 2209f5f1-e9de-41fc-b613-883b96aa87f5 · outbound

This paper cites Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo,

Reference 24

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source=pdf_text observed=2026-08-16T11:10:11.676387Z digest=sha256:16aa7aed4323ed76d8e7e75883a16f578aa6077db3cd76b561e66b57e9961811

Observation 699226f6-8b8e-4314-8351-83d1c3a02d45 · outbound

This paper cites Cobev: Elevating roadside 3d object detection with depth and height complementarity,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Cobev: Elevating roadside 3d object detection with depth and height complementarity,

Reference 25

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.681005Z digest=sha256:5a8f199895b114cae10984314d0a1eb1d901e1a0e0ed73afd46c1e44d55e3bba

Observation 6314db29-6e46-44ae-8cf6-e0c4bb7a1304 · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 26

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source=pdf_text observed=2026-08-16T11:10:11.686107Z digest=sha256:949db383212727af0ed27971b2d53d6065714bcc78b089774fa92bd5400a57c0

Observation 0c41ffcc-f359-4302-b76f-21a35d2500fe · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.690982Z digest=sha256:824a3e65c6ff1400cecd985a92c5261aa4807ecbeb614ce9b3bea4305d78ca6a

Observation 1fb64b7a-eca9-4069-9f8e-931fb31fd0f9 · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.697015Z digest=sha256:c376581ac35705288f99018732dc66deb3113adb8dc91988e1c6d641e6af15a0

Observation bf4adc1d-236f-44fe-8ec6-4ccce05eec3c · outbound

This paper cites BEVPoolv2: A Cutting-edge Implementation of BEVDet Toward Deployment.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection BEVPoolv2: A Cutting-edge Implementation of BEVDet Toward Deployment

Reference 29

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source=pdf_text observed=2026-08-16T11:10:11.701804Z digest=sha256:744b3ab923dd2f1972e69ba9781635ef3a100fa5ecaab6579c94bd8be71bf8f2

Observation 10dd0b13-504f-46fd-b5b0-3a4d07a2c7ba · outbound

This paper cites Centerfusion: Center-based radar and camera fusion for 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Centerfusion: Center-based radar and camera fusion for 3d object detection,

Reference 30

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raw_fallback, observed 2026-08-16T11:10:12.444240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.706410Z digest=sha256:a1b64dace96902aafaec7e004202155d8c6c85298becfd4e58c1b15e5ecb23b4

Observation 7f9be76c-e5c7-4a56-8502-1a92982876c1 · outbound

This paper cites Radiant: Radar-image association network for 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Radiant: Radar-image association network for 3d object detection,

Reference 31

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raw_fallback, observed 2026-08-16T11:10:12.430737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.710940Z digest=sha256:0834579d0a20a557e55310d4461afa9bb5c68afd0050af40ac92257ee21f0992

Observation eedd766c-0d87-4037-b369-f96d441a2152 · outbound

This paper cites Craft: Camera-radar 3d object detection with spatio-contextual fusion transformer,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Craft: Camera-radar 3d object detection with spatio-contextual fusion transformer,

Reference 32

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raw_fallback, observed 2026-08-16T11:10:12.417087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.715658Z digest=sha256:d51df2ad030943114668ca6aa1998d6c08bf795bf542370cfefd7368e88b25df

Observation 4dd96728-f01f-40de-a65e-063689c61e38 · outbound

This paper cites Mvfusion: Multi-view 3d object detection with semantic-aligned radar and camera fusion,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Mvfusion: Multi-view 3d object detection with semantic-aligned radar and camera fusion,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.719977Z digest=sha256:92333b9b29bbee30fa79d8998c8d584bc3c695b4c2f60a2348f2ff7cb7e5ef7c

Observation 24646509-724d-4328-9946-ebabe5ea4fa6 · outbound

This paper cites Dimensionality reduction by learning an invariant mapping,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Dimensionality reduction by learning an invariant mapping,

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.725049Z digest=sha256:7d84813b85b2534394121ea62acd7937d136ba52cca89d51d494e9a52afca170

Observation 1fd1a261-93bd-4dfb-8da5-5afb37f62e8e · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Momentum contrast for unsupervised visual representation learning,

Reference 35

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source=pdf_text observed=2026-08-16T11:10:11.860697Z digest=sha256:b2366b6da10d719813eb76cdff4bdc202d362288c08f43ca41a7e5843ef3de3c

Observation 1f22a881-51d6-4100-9d82-3b5c7ea8947e · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection A simple framework for contrastive learning of visual representations,

Reference 36

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source=pdf_text observed=2026-08-16T11:10:11.866028Z digest=sha256:12bfc6f42427426866fc17160703f8c024b18c5d61f6de26d90647042161a296

Observation ab57de51-29f0-498b-b18f-f3db791022fb · outbound

This paper cites Aligning pretraining for detection via object-level contrastive learning,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Aligning pretraining for detection via object-level contrastive learning,

Reference 37

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raw_fallback, observed 2026-08-16T11:10:12.362659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.870513Z digest=sha256:ef1a6e5c8e3193f224511e77ca8d69fed447e477bb1acc9d5627a3474e478c1f

Observation c2bbca37-e14a-40fc-a5ce-4f9e2e076990 · outbound

This paper cites Fsce: Few-shot object detection via contrastive proposal encoding,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Fsce: Few-shot object detection via contrastive proposal encoding,

Reference 38

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raw_fallback, observed 2026-08-16T11:10:12.348164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.874471Z digest=sha256:49799beaed7ffe2331af75899a37ec026201a6b3fc9c68580845cf24783a0e6b

Observation f482d8c1-b2d1-4cdf-862f-a6dceba117c1 · outbound

This paper cites Cat-det: Contrastively augmented transformer for multi-modal 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Cat-det: Contrastively augmented transformer for multi-modal 3d object detection,

Reference 39

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source=pdf_text observed=2026-08-16T11:10:11.878980Z digest=sha256:86525de4b47998af8f6f3b86663813f2699ceecb95cf95d1930b6af482d30eb1

Observation 00f03197-22b7-42eb-8d2b-d910ee8a118e · outbound

This paper cites Feature pyramid networks for object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Feature pyramid networks for object detection,

Reference 40

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source=pdf_text observed=2026-08-16T11:10:11.882751Z digest=sha256:a792eda5c69f9a554cfe294936dd4d8f24c5379b2c3cd17e7423b06960b30703

Observation 08a4b010-8d75-4c5a-a602-487ff412a90e · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Pointpillars: Fast encoders for object detection from point clouds,

Reference 41

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source=pdf_text observed=2026-08-16T11:10:11.886529Z digest=sha256:e3264ee7cc7ec42400d041b3e38cf95d9055091c0e1768f2e861a0032b203063

Observation 22864e52-6320-4d24-8176-929239c0e731 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Learning transferable visual models from natural language supervision,

Reference 42

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source=pdf_text observed=2026-08-16T11:10:11.890802Z digest=sha256:873ad20659a8a9788e606767a619aad23c23de6a1a62021494503a9d314d1f27

Observation f931482d-8137-4871-bcb9-35c0f0435a3e · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 43

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source=pdf_text observed=2026-08-16T11:10:11.895497Z digest=sha256:178bf676a3c6598f20fcf8abb72441a03c564f3c2b97a7ead7881003d8e7c95d

Observation 2c9be7f8-37fa-459e-8f6b-5b0ebe4536f1 · outbound

This paper cites Rectified linear units improve restricted boltz- mann machines,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Rectified linear units improve restricted boltz- mann machines,

Reference 44

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source=pdf_text observed=2026-08-16T11:10:11.900105Z digest=sha256:dd1cbaa02633a20ff070413f8952f97b50b41a480f8203aa92a108c0dfa37b0a

Observation d776a076-027d-4636-9d74-a226f8e96dbf · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Distilling the Knowledge in a Neural Network

Reference 45

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source=pdf_text observed=2026-08-16T11:10:11.904424Z digest=sha256:8183f009c94a92305897703b5d5a3c1614a610290e28777f401d39f859e2da65

Observation ec2281ef-a251-453f-861f-fbfe881d4e74 · outbound

This paper cites Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection,

Reference 46

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raw_fallback, observed 2026-08-16T11:10:12.281172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.908876Z digest=sha256:50f717dee0beeaad57f2cdc484dcfcfbc8160fdba6be1504b372c07dfcb2cf41

Observation 2d35f54b-d56f-4ed7-a870-0a6476442e2b · outbound

This paper cites Sparsebev: High- performance sparse 3d object detection from multi-camera videos,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Sparsebev: High- performance sparse 3d object detection from multi-camera videos,

Reference 47

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source=pdf_text observed=2026-08-16T11:10:11.913075Z digest=sha256:1e97730475d327e9aa78e68130ed5342003a5e5fb52731df6a0d36da03193531

Observation 97fa5e9f-0a33-4c8a-8f59-8106e64cd1d3 · outbound

This paper cites Bridging the view disparity between radar and camera features for multi-modal fusion 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Bridging the view disparity between radar and camera features for multi-modal fusion 3d object detection,

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.916829Z digest=sha256:2fba95d97df6e2a925bf1385810271d68710cb2870a517852249a470778de513

Observation 22553127-57c5-4e13-bce9-e23387960a83 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection nuscenes: A multimodal dataset for autonomous driving,

Reference 49

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source=pdf_text observed=2026-08-16T11:10:11.920381Z digest=sha256:159cc74e4b485d87391995eaf1ddf7110f6650488988a5684168f416ec55b646

Observation 45cfbb37-0d35-4652-8f69-02543c9adcc3 · outbound

This paper cites Deep residual learning for image recognition,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Deep residual learning for image recognition,

Reference 50

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source=pdf_text observed=2026-08-16T11:10:11.923971Z digest=sha256:eb92472f120ae67f530f7f31a30d776fb786061ad49b1cda6b69ef487415b5ea

Observation a7c59733-f344-4c03-b033-e6aed0b003d3 · outbound

This paper cites An energy and gpu- computation efficient backbone network for real-time object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection An energy and gpu- computation efficient backbone network for real-time object detection,

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.227397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.928187Z digest=sha256:0e60c00f26211099d627aedd081564cbfa74c5e948c2fc81040984a290069a91

Observation 6698b2b1-8a88-4070-bd9e-c825795bf7c0 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Imagenet: A large-scale hierarchical image database,

Reference 52

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source=pdf_text observed=2026-08-16T11:10:11.933101Z digest=sha256:0669f12054df07924858c443e87c042bf6c3f9f451c21d68d2e8957b51545407

Observation b6aeab33-294a-443a-bcef-fe9d9739e38b · outbound

This paper cites Is pseudo- lidar needed for monocular 3d object detection?.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Is pseudo- lidar needed for monocular 3d object detection?

Reference 53

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source=pdf_text observed=2026-08-16T11:10:11.937587Z digest=sha256:2c5f5d60696d0e5a36dc39b726ec97c287b3038fc90291443c2258033e55c823

Observation e40ee12f-838c-4d7e-9823-c684c9be94e0 · outbound

This paper cites Focal-petr: Embracing foreground for efficient multi-camera 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Focal-petr: Embracing foreground for efficient multi-camera 3d object detection,

Reference 54

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.941580Z digest=sha256:f3fa33634a95e27cc64900ba3be4a2d0e9c008d59f106bc1e5d8863c49f8dbe7

Observation ecc60190-563f-4c4b-98ad-9155e95c3a88 · outbound

This paper cites Dn-detr: Accelerate detr training by introducing query denoising,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Dn-detr: Accelerate detr training by introducing query denoising,

Reference 55

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source=pdf_text observed=2026-08-16T11:10:11.945629Z digest=sha256:3cc59ebe7d47139a699f391d0581c8ec85a2d882c9523d60701ce1dea2bcf8ef

Observation c9189eca-c5f8-450d-8e2d-0d89e4142ecd · outbound

This paper cites Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 56

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source=pdf_text observed=2026-08-16T11:10:11.949681Z digest=sha256:a667639155db6ae73438070128e7b33483c4a52c88531342349f31b2ff2d057b

Observation 6c2e6a38-efa6-472e-b5ae-57642558e37a · outbound

This paper cites Decoupled Weight Decay Regularization.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Decoupled Weight Decay Regularization

Reference 57

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source=pdf_text observed=2026-08-16T11:10:11.954037Z digest=sha256:e3b070b78d4b77ae7a11fb527215b73789eee2f54de6cb1e5587f812303abcc4

Observation c7c6a263-05d9-47b8-857a-042d36ab2f78 · outbound

This paper cites Petrv2: A unified framework for 3d perception from multi-camera images,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Petrv2: A unified framework for 3d perception from multi-camera images,

Reference 58

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source=pdf_text observed=2026-08-16T11:10:11.958270Z digest=sha256:b76effc7776644e1a7b5c19f99151602fb3d64c1de81e5f267af094195ba00b2

Observation 7e26c791-4f02-4395-ac92-0e9dc6bb71b7 · outbound

This paper cites Unifying voxel- based representation with transformer for 3d object detection,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Unifying voxel- based representation with transformer for 3d object detection,

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.165825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.961752Z digest=sha256:d925e6d3701b73c6c9b781fef445ea3534ba4336f01d4f335f80c78c81f3ba57

Observation 6f094a08-0a12-49a8-b5b9-11bbd630bd1b · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 60

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source=pdf_text observed=2026-08-16T11:10:11.965820Z digest=sha256:f10d59611013e78fd8b66c1474f420c254280decdd66fe2c2bce8a0e229124fd

Pith citing papers

No inbound Pith citation observations are available.