Pith. sign in

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.563799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.563799Z digest=sha256:d9a68539a819ae3bfab197bb3fe936c0e820cac29e3e5e570844f66a3362f9a8

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.569710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.569710Z digest=sha256:d98729db78703d746db57187086724017ed514b5a1dc2cc48f3106cc488230c9

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.574493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.574493Z digest=sha256:5a6b54d7b47aa0940a6796423f616267f5b1f9f6c5f69b6f6e11955b6d11d4b2

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.579425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.579425Z digest=sha256:9c1cc1d65b50fbde505c654efc29da12bd6b1944c73d500f6f1e300a18d2a7ff

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.659816Z

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=2026-08-16T11:10:11.584766Z digest=sha256:24fa9749873d122cc5d20b02ddf05abb3460e2bbaaa09cc634a41f6c43bb8bf3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.643347Z

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=2026-08-16T11:10:11.590007Z digest=sha256:176da4cfd16f32fc1b7340760ba13901fb26f0371ce5fc9b5142616e369c9a4b

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.595180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.595180Z digest=sha256:d3ac2c37d96f4a555ffc4ce7b44c95868b50b33b294c866bb6cb47ae33e1555e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.628408Z

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=2026-08-16T11:10:11.600582Z digest=sha256:c572b6d8a3bf35fc9a54b8c17151bde4fb671c639caf8e74756056e1ec110d37

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.614054Z

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:e5c1ee13df160d71beac86db9479b5d0afd4b5d465fab2580f3fbef690b2c7ab

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.601254Z

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=2026-08-16T11:10:11.609927Z digest=sha256:532767444bc46146f885abf26026526df343d4fa32a4a67f8f6365a98a8d16f5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.587405Z

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=2026-08-16T11:10:11.614449Z digest=sha256:b34a0a7072fce2bda3a959726c73603adcb82cb7c418e163ec341d4795097740

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.618897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.618897Z digest=sha256:fc97e824d7973ada7782ce4e42769ae6536095b2c326d0e804b28ac846684a4d

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.624442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.624442Z digest=sha256:cc179c44a742205ff7ec309d59f6f187ff30c3869c1121ec0e3752f23d347dd9

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.628928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.628928Z digest=sha256:8b2d9c220bbfe7dbcf058edcd718082ddd7db5562dc86d64a4df569d77ee352c

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.633728Z digest=sha256:5e85a18b5ce38695def99bb94edbe03203988104cf03c68a4ceb98de2eb0e289

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.638094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.638094Z digest=sha256:3219746fded72a9eb0533f2c978905429ddb483ef44e302c57332a5934703bf2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.541875Z

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=2026-08-16T11:10:11.642571Z digest=sha256:1d47cb18c72fdc41cb04f00f224421eb2fbe1f664e91bc9d88de476d4e68eda1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.527225Z

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=2026-08-16T11:10:11.647474Z digest=sha256:ccc6461c55b3754ecc340c02e9ec269cd959ac067a36d782f42a590a163a3f52

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.651853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.651853Z digest=sha256:609f0eea35f33ede88196e533553fe5147de370aa5acd944dbded5dfb3ea222a

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.657045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.657045Z digest=sha256:69b6d2b34de496a57e2a683081abdaa7733855ca468b35fffca963b5d2bfb159

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.662174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.662174Z digest=sha256:4438228364bcefc63d6bfe0e6336642cbe3c8dd39793654ae418fae7f5436cb7

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.666865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.666865Z digest=sha256:a851e31520175085446400c8aac5bb60e859535b53d185016ac54b1e13e3d196

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.671588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.671588Z digest=sha256:4ea08380f25adb94f3d6de811034c7374e2fa786b977d312a8c7524d177fe125

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.676387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.676387Z digest=sha256:255bd93c8c1a8938522a08ff72075e2bdb3fa44f0576bb60ca85e741f25be16c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.468617Z

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=2026-08-16T11:10:11.681005Z digest=sha256:0a2c7ee24ae6f64a3bc62183791ee0341e18ac7db0dd29775d04906e27d7ae6d

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.686107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.686107Z digest=sha256:bd7e833a95fd7ae1b0798a0e5020f237fcac475490653e418468cacf5004aeea

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.690982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.690982Z digest=sha256:e8326e8745b9f24fb883a7be8a7bbe6941276f37f5c6a2031953849a338d2067

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.697015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.697015Z digest=sha256:6f047c873e7bc375554b7971e4ee15363f70f135bd97685c796ebf3cbc2b8383

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.701804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.701804Z digest=sha256:57d0647d43ec49395c3c1a906c111ab1c0de53eff2f4bfe4b0d7e764e80e1756

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

Resolution
verified fuzzy
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:e28b232fd8a56ac327238a71f1ffcdd79392777546263d90256340a1114e6ed0

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

Resolution
verified fuzzy
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:db824aa375f8cc490d4652fa44415342db6a99fcea25f178d5aa0c0ddc31af41

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

Resolution
verified fuzzy
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=sha256:1807a8511d2616b3b07dac0ca965c291297b2f8468fa16f8e460ae9ab243c404

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.403745Z

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:cac30f7b506d103782a8a52065003980db731abcc04a2d2fcd8928e5f31e1af7

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.725049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.725049Z digest=sha256:8b1b26e30cc300a2c5684da7e38e9c544e8e36426f565b807ccbf566bf9abb22

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.860697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.860697Z digest=sha256:b3f73546cdfa18cb44a39d5069d41f8051c67736d954b24d302d106c432d7cb5

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.866028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.866028Z digest=sha256:ccee5a84f93e6f780f7445b624aaf506a1f7bb81a55dcb65f5a6a9b1df83de49

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

Resolution
verified fuzzy
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:a9a0c9f428b37affcb28f9ef25ddcca45441ff5db207e851191d3d3fb2e78abb

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

Resolution
verified fuzzy
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:a854feb049ef66e385043da3c2b6c8a6cbc4b94108ec3142154614ba9668e462

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.878980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.878980Z digest=sha256:7044365d77beb055383963e46cb2e0f2afe76b94de5af7dd1c73a094bc8d6a50

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.882751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.882751Z digest=sha256:a12dcfd8f174c2a7ee89c6bd67a1c21b08c27cb3d0e3437a01f502742bd2bb0e

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.886529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.886529Z digest=sha256:fa894af023167a2304f8dbf83ee121f4b3d6408f358f58729f1fc4a6ab987ab1

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.890802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.890802Z digest=sha256:8648b1c41c1f9b2dbf79a8653e1633ea3d17a3af4a8cd32a58e8f917f154412f

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.895497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.895497Z digest=sha256:eb529699818a6e334ce53f2cda6adc3184ab5b07ceefa87cd1078e2e9b612767

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.900105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.900105Z digest=sha256:005643dbe697ec5ac47d3dbca5e291a5ed69aef6ac5b4cf041ad15d63999037a

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.904424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.904424Z digest=sha256:5eda2d59f29d7d22a3e15b25f9d28774c5f5ec0f445bfb26b5459d1e990860dd

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.908876Z digest=sha256:25c5eb99ee1d12d56ee767d13907ffac8f847177adcb6da88f433c5c22c51535

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.913075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.913075Z digest=sha256:f0aaebc56ad807783b62d2a3282fcea2dd5ece1a8b3317a0b9213ac9932641ae

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:10:12.257281Z

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=sha256:714b64388c4c88b94e472dc7ad8151ff5d87467abb1db247fd14e4f197856ec3

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.920381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.920381Z digest=sha256:09c724046e8df8d00eb82fed308afd1f76dcaa7b614170044ed4f455ac5ff18c

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.923971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.923971Z digest=sha256:e2877e3d683827397a3816ffb744d03c4357b3d0b65ac371b00dac376975794e

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

Resolution
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:a87f5804d1015896625aabbcfcd969b194e3a171c5a70b842704fa5a17c6eec6

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.933101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.933101Z digest=sha256:14d6c8d86b55d4fae759835bda44e85f70a5d0f740ce35f468e23b2f698f2cc4

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.937587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.937587Z digest=sha256:27d3ec29dd4b5709581872d1534b09cc5e69f87794f31059e8e0ffdf6b84a6ec

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:10:11.941580Z digest=sha256:72877a8f4ef5b6c1e7a257fd0866ef7365c6b8cd3a8d1cf78b42369b65b16468

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.945629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.945629Z digest=sha256:f76fb9a7e72644c05609c144b58935bbbfd0ad0e296d42440e3b2d7ffc6a5c37

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.949681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.949681Z digest=sha256:6f29720585d9222aa27f15c423b751ac65a944e47510d1d50fb027b5060f785d

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.954037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.954037Z digest=sha256:12715a38e60670aafdea12e18180048706f5e95915d9a7acde71d37b856b9a70

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.958270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.958270Z digest=sha256:7ed631a718ab686a27c4e091a397deeb44a4d9c88cc0d9c70a7f7bdbc777a840

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

Resolution
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=sha256:16ca05de537767c6eaedab8cf9f88a52f9fd511bceaa5d2938c381b7f6326b6e

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:10:11.965820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:10:11.965820Z digest=sha256:2b44d30326bc3c8e5fb426f2ebd6060cf89c17775c7ce96bd7452ebc0f262b54

Pith citing papers

No inbound Pith citation observations are available.