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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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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source=pdf_text observed=2026-08-16T11:10:11.563799Z digest=sha256:ee9e7391cb55da6512e1a38758580d4c2de1a9e0fc5a5a5604307aee94440995

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:d8630068a661d8b35cd03a5cce5bbb7127c99fbe781cfb89025bb1f9beae08bd

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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source=pdf_text observed=2026-08-16T11:10:11.574493Z digest=sha256:3d9b08ad44f25cccc707aea7012e83860158f3a72cdf0f62b37e1bf9e0fb37e9

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:b3df8cefcef2249e96d9eb7f06beae2caa75e00a6e965e806bdec6e68b9e0c32

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.584766Z digest=sha256:289bd7975e19c28ea67a8b48121cae45a13614c41c5c5196b6fcad02e659c6cf

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.590007Z digest=sha256:cbee6fd18b25df619edf6188d8f2fb3f3580d3ea8a31d9c7d7758a9e9921bb97

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:bb99e3cee2a24da2d190cdab142e967a597cd1e3e67635abf6832975291a1c5d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.600582Z digest=sha256:aca5ba91b18fd4732a5d695840d66e0ad0d73afd32c3a956322d00a63405ceed

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.605227Z digest=sha256:9d6f3bf55cb4e666320dc14962eb8163ee03f5f289e4da25aea92e951ba9bbb8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.609927Z digest=sha256:61c82738d6958a58bf95d34c32e17ff031dbda55c0aafcf4f09df2ebc1c964f4

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.614449Z digest=sha256:0e9f567fbd9fa464c4a05c205b7d10d2909664cf56aadb44797742d406eb62b0

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=sha256:7f24e3a1f0cb5740c2756d82415bbffca46af847ba86b4a94d5a5fda673d6a64

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:f997e03c71fa78706b69a5fb4fd762983461eef931e3e283a9434c0c31e57e49

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=sha256:0bbf17cb4ebb7c00166440cc0f6eccd8274d83a796e175e3d4a37404ee260f23

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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raw_fallback, observed 2026-08-16T11:10:12.564609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.633728Z digest=sha256:cc1e1102a20733751a9a77c34646262c65ea67b70553840b22789e95e0af2f34

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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source=pdf_text observed=2026-08-16T11:10:11.638094Z digest=sha256:773f6bbf2c4894f0d5cff7f34fd1bb350aa11ab81a6198bc7c4a22e59514fc50

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.642571Z digest=sha256:30944af6aedef0db5f7aadc256e9fcb378c9b52820097c270b48e9aa715856c7

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.647474Z digest=sha256:1791f2c4705fb9f621a3876d0bd95a08d598677ca1d1a8624ff3d78a63dd1268

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=sha256:106af30ae06b28d1cd5785989565a67fc621a4b00879915c76b16af29880e7d0

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=sha256:3bc9c6cb4e8d6b467464587f9169e7de5d87f2a082fd51e6fb4b41fd3ec501b8

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:c92a90d3e6f5666d26affdfd3ca100b799d04907bbbc5ec3d322df21ae8512e7

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=sha256:8cd51f63cdf63da0dd55eb5ad18454560e0343dc0e5c0072f5d3c3586f11b6cc

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:e7c99809123bb8d61d70e7cc87e9b264bc51055e7b99fbc43942b5b1e996e93f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.676387Z digest=sha256:288901c3eff2f3a4c8096602c8d561d78f61856507d15706e0eec2b532a8bd86

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.681005Z digest=sha256:17aae5a0374ea6ceb46c4d70d3036dec247983e33767645be7cb9bdf9fd2e49b

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=sha256:5de334570092e487447cc99b54d78d41a9ae6b08f2d4966cea7247a4b73c88a6

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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source=pdf_text observed=2026-08-16T11:10:11.690982Z digest=sha256:470f7394f2315508a4e605d8d5f805fc52610a52280657ff452f219e1427ae35

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=sha256:9a95a73a8de92c008fdda19af11456fc33c1128faa040dd313680adc5e0cb292

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.701804Z digest=sha256:4bfa7a8d2e78ea6369dbb6b90e95326ac3895bb48f9c6ff53e8893f2553161d6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.706410Z digest=sha256:011f8ea334f44674fb7fb800b2ffd3757c962edc176c54f64a2a8bd878d77602

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.710940Z digest=sha256:c36e3a6e3629d8c48f3ab06481eab4db03f5020c5e467162d2a5fc398d758e19

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.715658Z digest=sha256:6555428ad32131b47df87f47bd502b5664ecffa17ac894664274fa2f6db891e6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.719977Z digest=sha256:bbc96f0a00eabd4b4c81a25de9b38294ccb2139d777873f53290f3eede2e4de9

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.725049Z digest=sha256:5f63299c6db508efa309a5569df08d20a3ae583b1132ed14a52b5aa78b87430a

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=sha256:5c59d48074ce51adef5361ec4bf6e9492549a644e6569b26bc413b527009db13

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=sha256:97af23a009f2de6f179005b0357aaab09656452f8ea10b6dcdc2cf862eaeec2b

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.870513Z digest=sha256:c702b13bf6b79f70a70310a42d0f0378efff4ff56dda1290945f9fbc9dc103f9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.874471Z digest=sha256:e972f879450783ad6ecc184b2599339160d4aa29a6154060981bbaec7cf2d84b

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=sha256:2dd1a873fdb7d49f6dff163230bf910c8ad9a214998ac85b878d1ec9c2afd724

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=sha256:69341902635f772b7dc38ade0c5aa142d4d27259ba8f7760e18a8a69faa52b4d

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=sha256:4f30c9f8d4f4b5f6355e05ba1af79eb9cbe2fab46e98481573d51b7324d0ef8d

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=sha256:287434ce465cf9aa2ebdbfe8963f76157629e256c305d81ceb9488ee932469df

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=sha256:9ac930c4d6ba2eeb82e1ccbd232e391a1be4735753dbd405843f5fb5270dd1f9

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:db8c7b95c392dd941317aaf60334d2a800e2cbe5766062c82cbaf17d220c38b5

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=sha256:6004e6106d561282ee63c3ee47c84fa21dc4be26d7e1973309bd5b2ea3ccd8c0

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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verified fuzzy
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.908876Z digest=sha256:fe8bf24e761bf8799262f07fb44d3d353db7fa99d3d3b9e3c2cb0d0f4ab47436

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-reported events for the cited work

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source=pdf_text observed=2026-08-16T11:10:11.913075Z digest=sha256:6b847fb7576f96c142e16de5246a89422b65ed083ca3c0f61d60d7a6f4b9dd4e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.916829Z digest=sha256:c6e757bb03c1f62996729fe66c84757ba9b30256d4f8fe65014f572eacfddd73

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=sha256:0b5c39c722ef9d97a03f3a373db4475e0850005cc784d32f6f07af1ec870822e

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=sha256:6e24e34e34a23c972603003571221d74c60ad2cc37ad2b4652c401c131ea37f6

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.928187Z digest=sha256:d103cf4964aad6c4bf9285b2dff96a0f86e4b0e81a67281a0fec29b0ac00198d

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=sha256:0fdf769a7bbc4df12fb699cf46706be81bcdf2f6c449813689c5eefc7ee727cb

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:cf1d12fb486c89313ddb4a5811333efee98b11f72accb6d3c76d28927ec939c6

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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raw_fallback, observed 2026-08-16T11:10:12.197756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.941580Z digest=sha256:7c53a3a3649e15de8dbd80ec6e3e7269541c3cfc614e7001eb4f0fca6276564e

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-reported events for the cited work

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source=pdf_text observed=2026-08-16T11:10:11.945629Z digest=sha256:4c08cd2e7bb2404849e4cb078c31b46985f7355cda2b8e810f467af61c09b0e0

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=sha256:1a64dca8b5cc60817d8e1a9419e52a3164a4d51fcafd78451e0d6c91bb37dffa

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:f820383d26364bd7c919d9d880b8dc2f3cf343e23634c280611f383b959b4bcd

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=sha256:1b214cd0727ca8e281ca3a4795cc2eadd9984417ac3bec6e488402906a3ce060

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T11:10:11.961752Z digest=sha256:eadd02dc0ae93ee3054c85e6015350f68af75b1aeb37e96dceab90a3f7475b73

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:f35e741b968b0bc32b94d524d7253d7feca43d45e9557ff1da4e1a22bd6047da

Pith citing papers

No inbound Pith citation observations are available.