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Paper Citation Record · LEDGER

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation

As of 11 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2412.20911.

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

pith.paper-citation-record.v1
2412.20911 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:12:40.622654Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:16:33.640040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T07:16:54.767669Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact5
  • verified fuzzy37
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fd295ec-cd46-4465-8217-cb154626ec27 · outbound

This paper cites Center-based 3d object detection and tracking,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Center-based 3d object detection and tracking,

Reference 1

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unresolved
no resolver link, observed 2026-08-10T23:12:40.224303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.224303Z digest=sha256:afc6933ab5f8cd5315b75b086f17ffdc98d0d1e0185ecd196f6a41532626420d

Observation e27731c8-7f7e-4e61-9837-be4ef7142912 · outbound

This paper cites RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM

Reference 2

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unresolved
no resolver link, observed 2026-08-10T23:12:40.230054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.230054Z digest=sha256:3ac8c251e083fe103d5dbecf870796603551c01495b943973cfcb61a5507798b

Observation 8cfbb225-9126-45b2-8887-81d97c102b91 · outbound

This paper cites Pillarnext: Rethinking network designs for 3d object detection in lidar point clouds,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Pillarnext: Rethinking network designs for 3d object detection in lidar point clouds,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.872591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.236164Z digest=sha256:3e60b6b023818d300c7104a4c659d952869b379a8fb640ebe1f6b8e316fa0bf0

Observation b477326f-cf8b-45ec-98b1-ca9a89e3972f · outbound

This paper cites Improving semantic analysis on point clouds via auxiliary supervision of local geometric priors,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Improving semantic analysis on point clouds via auxiliary supervision of local geometric priors,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.854078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.241717Z digest=sha256:245139e92d08f86dd13c504cfe705d0f1e58749c8cc8dbc6a48395c31964459c

Observation 1a5ebdae-8705-4984-8bd0-b69c3dfe5ba8 · outbound

This paper cites Mix-teaching: A simple, unified and effective semi-supervised learning framework for monocular 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Mix-teaching: A simple, unified and effective semi-supervised learning framework for monocular 3d object detection,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.835415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.247312Z digest=sha256:6c77ae0a448e1c1dc25b52b93677792c3e869585d3fd965ffe3070e02b975b92

Observation 7e4c3184-20ac-482e-a689-0e5aa2854e55 · outbound

This paper cites Wsamf-net: Wavelet spatial attention-based multistream feedback network for single image dehazing,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Wsamf-net: Wavelet spatial attention-based multistream feedback network for single image dehazing,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.816797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.252350Z digest=sha256:3290dc377461be213972a2b5ae58c6744a667a619bde84e71648a5890db6e916

Observation 8599e1c7-b1fb-4b53-96e9-e2818b124f7f · outbound

This paper cites VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection

Reference 7

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unresolved
no resolver link, observed 2026-08-10T23:12:40.257901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.257901Z digest=sha256:5d1e878781ea90e9a746d770524e1d3ebb0d8c926a4e4facfeb9e19b3265687d

Observation 4024a762-ede8-4f47-ab4b-41f63285c06c · outbound

This paper cites Far3d: Expanding the horizon for surround-view 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Far3d: Expanding the horizon for surround-view 3d object detection,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.797194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.263554Z digest=sha256:931768028f298ee220b8da3c84c54ac637f84a160e32d32f8c457f7e905d5347

Observation d4118720-be94-4993-a3e7-41d25f6e6b64 · outbound

This paper cites Pseudo-mono for monocular 3d object detection in autonomous driving,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Pseudo-mono for monocular 3d object detection in autonomous driving,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.773625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.268111Z digest=sha256:d46519191d15cccb37b4c94a8a06af20b5841d509881d510e0b608688925e0a4

Observation 2b5a3b32-5531-4c75-8d6b-7b4c5d380ee7 · outbound

This paper cites Pipc-3ddet: Harnessing perspective information and proposal correlation for 3d point cloud object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Pipc-3ddet: Harnessing perspective information and proposal correlation for 3d point cloud object detection,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.757035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.272753Z digest=sha256:708974a780512517312948d19bb1f711305f50b407cb9763bfad6ae048ce3388

Observation 27c26f44-6a92-4b05-8c23-563eb260d95e · outbound

This paper cites GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection

Reference 11

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unresolved
no resolver link, observed 2026-08-10T23:12:40.278472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.278472Z digest=sha256:32cfc5c77435141d65d25081d55d6fdbb5c434346bad8afa831faf9061498ac2

Observation 1f94c5ba-11f6-4a8e-8a62-99f542f85b9a · outbound

This paper cites Fusionpainting: Multimodal fusion with adaptive attention for 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Fusionpainting: Multimodal fusion with adaptive attention for 3d object detection,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.735910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.284761Z digest=sha256:1690618b5075a652005ba93e91fdb1be128e158e11736bd13415cd82cfc74a9e

Observation 8d361a8a-e9a8-460f-bfc2-0392da8c0069 · outbound

This paper cites Graphalign++: An accurate feature alignment by graph matching for multi-modal 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Graphalign++: An accurate feature alignment by graph matching for multi-modal 3d object detection,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.716674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.289572Z digest=sha256:77c253aba52227f8e4fbe6a7df0eb466fbf64395f9484c2e57062bf01dd29d90

Observation c82ba1b2-44dc-4eb9-91ee-dbd012c65517 · outbound

This paper cites Multi- sem fusion: multimodal semantic fusion for 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Multi- sem fusion: multimodal semantic fusion for 3d object detection,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.700391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.294332Z digest=sha256:f812f53c5f47f13b47023531cb883f4ca4930e20ca401f0cc2d6ddba8c37d440

Observation 2055da5b-7f72-4e90-a26e-eb8188f57d20 · outbound

This paper cites BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.299527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.299527Z digest=sha256:e9c3642fbfcca391ad8fe815e7a17c73c6f310141b03e0a167d7559e6bd35842

Observation dfde4829-5cd6-48ee-9d2d-f49b9c2e041c · outbound

This paper cites BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

Reference 16

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unresolved
no resolver link, observed 2026-08-10T23:12:40.304696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.304696Z digest=sha256:1bf7645eda2fa2d1251bb22ab5b002454c8da5d2e9950ccd08e64f5f9e4af5a1

Observation 158a3248-ee40-4fb4-bec1-f1b83b62f164 · outbound

This paper cites Cross-modality knowledge distillation network for monocular 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Cross-modality knowledge distillation network for monocular 3d object detection,

Reference 17

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unresolved
no resolver link, observed 2026-08-10T23:12:40.310381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.310381Z digest=sha256:358ca9737b4db145e71fb18960fa14a95e25c7f16aed106e7e16017ce2d77a4b

Observation 272bba3f-7b36-4e4c-8663-11734688584c · outbound

This paper cites LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:12:41.030340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.315082Z digest=sha256:7acd155cc5c4b86b4573e8df155467af7da7a22adf092f6076d0984a89bc04ec

Observation d954a0c9-7bc1-4649-a7b1-cf370bd75648 · outbound

This paper cites Categorical depth distribution network for monocular 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Categorical depth distribution network for monocular 3d object detection,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.672203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.320545Z digest=sha256:ea628df8c1090cae77f7e0d9e40bf5f8598719ac7db2b7286a3fc199a0504d95

Observation d4b84661-9134-45ec-9998-8a0b134ceb64 · outbound

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.325421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.325421Z digest=sha256:d69aee36b3c1dac5c95247fb6db7f712ca3ff9f67d154f6fdf906335eb2c23fa

Observation 0b844450-f9d4-4e86-b6ac-05d8c9295102 · outbound

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 21

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unresolved
no resolver link, observed 2026-08-10T23:12:40.330737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.330737Z digest=sha256:b8b316caec64e283485be9314cb6f2e57c7bdf757f986bf92d232aba72963b23

Observation fab11dbe-549a-4e57-b10a-d337d9aed272 · outbound

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.335770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.335770Z digest=sha256:882d5c0a3efba7a066166404fd654bf0496c5fffe4fd5710838d0accff97e657

Observation 5e7e092e-65a8-4b69-a723-512f64bd3679 · outbound

This paper cites BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.341758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.341758Z digest=sha256:cf03a50902dd243d47f04bd0c24a1051b42f09dbcd101e805ac32b56be45b46b

Observation 3f68e84f-94fe-4016-be49-4eade7827ab1 · outbound

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.641000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.346883Z digest=sha256:70a706c2ea3753183ab11d0b79586d0167ca54fecc14a6eab8c2e40de5c2b466

Observation e8c81db1-3637-4ce8-9189-e88d3857821e · outbound

This paper cites PETR: Position Embedding Transformation for Multi-View 3D Object Detection.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation PETR: Position Embedding Transformation for Multi-View 3D Object Detection

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.351769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.351769Z digest=sha256:9d09a0a16708d631bad71e1bddb51ce9ce430e03c3f602ff2466ed2ecfe8a274

Observation b15dddb3-3292-4ae9-9320-8cec7a9a76bf · outbound

This paper cites PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

Reference 26

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unresolved
no resolver link, observed 2026-08-10T23:12:40.356584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.356584Z digest=sha256:c7a88e9df784b2a20c885863d6edb2442724ea5c0da15c871f4f5d0968050aa4

Observation c0a4dd92-5111-4cae-b5ad-cf6d6009bed5 · outbound

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Exploring object- centric temporal modeling for efficient multi-view 3d object detection,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.624297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.362177Z digest=sha256:228a97352353c6f1066dcd82ad9d7555adca7f5efa9521533b6ea4ea8ff4733c

Observation 6aea0e62-0dba-4ada-adf2-c65712a455cc · outbound

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 28

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unresolved
no resolver link, observed 2026-08-10T23:12:40.366928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.366928Z digest=sha256:2c6cb7001032a172a426c78baf78daae6aaa7b010898c76e663098bc02e32466

Observation 28124ede-7b4d-4759-96f8-53292b46239c · outbound

This paper cites Sparse4D v2: Recurrent Temporal Fusion with Sparse Model.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.371834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.371834Z digest=sha256:5d6a375fbbf649805c83f5b4bdee845cd37c669872ed61b34e16cf1d18be0c96

Observation 288c6908-2b34-417f-a1d8-861d46daf5f3 · outbound

This paper cites Adabins: Depth estimation using adaptive bins,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Adabins: Depth estimation using adaptive bins,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.376664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.376664Z digest=sha256:d3643e9f5221ed0a7794104b8bbff8d47add66ec052e0bf3896300aadb741f62

Observation dce0fb41-ce84-45dc-a410-1baccaf3a8a4 · outbound

This paper cites Deep ordinal regression network for monocular depth estimation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Deep ordinal regression network for monocular depth estimation,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.595421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.381672Z digest=sha256:e696536b566d808d1ba45bf8a7e153862d5b153b263108a0d5fd1c651ed9f1e2

Observation c93b0289-dd1b-4748-a885-240449a4eab6 · outbound

This paper cites On the uncertainty of self-supervised monocular depth estimation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation On the uncertainty of self-supervised monocular depth estimation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.566662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.391041Z digest=sha256:78e1ee2afc75fbd2a913cdde7ed53193895ab91286ce482918f4448be0b5728e

Observation 4d0746a9-4b54-4c58-8692-c7d1ad617318 · outbound

This paper cites Vision transformers for dense prediction,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Vision transformers for dense prediction,

Reference 34

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no resolver link, observed 2026-08-10T23:12:40.395941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.395941Z digest=sha256:f590edef8501d1230f8390d808a8057845975ac690d98af87edee1dcd7aa12db

Observation 20368e9c-b861-49d3-aefc-d99a46bc67a8 · outbound

This paper cites SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation

Reference 35

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local_arxiv, observed 2026-08-10T23:12:40.869034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.401103Z digest=sha256:be31d78ca9c143816bbd7ba8d09fa810654c5e725c3893ab75626a6aaba50fd1

Observation ac76e843-40ca-4cc8-a24a-9f0caf2e7b32 · outbound

This paper cites Full surround monodepth from multiple cameras,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Full surround monodepth from multiple cameras,

Reference 36

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raw_fallback, observed 2026-08-10T23:12:41.538473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.405821Z digest=sha256:1d9e94f45eba2d825a184c392ecb5102972f4047b877ba07591cff8546f9ff92

Observation 8a61cd98-f57a-42de-9200-83eac378a715 · outbound

This paper cites Ga-net: Guided aggregation net for end-to-end stereo matching,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Ga-net: Guided aggregation net for end-to-end stereo matching,

Reference 37

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raw_fallback, observed 2026-08-10T23:12:41.520524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.410806Z digest=sha256:deadf97ad43df1bae5ea38228bba4bbc61800e8a3b7dbc326640b6a06b69a138

Observation beee1442-627f-40a0-8c34-3cf1dd2498d2 · outbound

This paper cites Cfnet: Cascade and fused cost volume for robust stereo matching,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Cfnet: Cascade and fused cost volume for robust stereo matching,

Reference 38

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raw_fallback, observed 2026-08-10T23:12:41.504817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.415814Z digest=sha256:670fdc9fa02e7d6373a3d049efe0f6c8d4fbb2c1d89c84d6576e982f046c29b2

Observation 8052b6f6-e03b-425b-9fbb-5fcb86f54cf9 · outbound

This paper cites Rethinking depth estimation for multi-view stereo: A unified representation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Rethinking depth estimation for multi-view stereo: A unified representation,

Reference 39

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raw_fallback, observed 2026-08-10T23:12:41.488989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.420685Z digest=sha256:ad0a93d24bcfa9a6141e32dd0d76504da30106483401c6506110561964f10af9

Observation 5070be9e-2cc1-46d0-8b64-770b3a44f956 · outbound

This paper cites Can language understand depth?.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Can language understand depth?

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.473690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.425593Z digest=sha256:736103d49f9f91df1f05eee101997fec2cd0af54ce302ab38090486ad48f2a53

Observation c5bd1e6d-01e1-4830-8418-616117b1cae8 · outbound

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Is pseudo- lidar needed for monocular 3d object detection?

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.457263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.430328Z digest=sha256:f481e630fb389aba2dab01568d6c0129006ded6b42f84bf628e52e8973f82977

Observation 31328708-539e-49df-bcc1-0de1885c28b2 · outbound

This paper cites MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection

Reference 43

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no resolver link, observed 2026-08-10T23:12:40.441420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.441420Z digest=sha256:b614dada4594dd2a226cedf1d46247c57aa970dbe1a276b428584060549aaac1

Observation 1db9a328-5155-4ecd-a672-0d279391f8f3 · outbound

This paper cites Image style transfer using convolutional neural networks,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Image style transfer using convolutional neural networks,

Reference 44

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no resolver link, observed 2026-08-10T23:12:40.446296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.446296Z digest=sha256:62dd662fcdb1aae97ef8a4f1690f397b84805cfcf2b2a0c610392519a8bc3944

Observation 285cd3ea-746a-4baf-9fca-21e4490a977b · outbound

This paper cites Similarity-preserving knowledge distillation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Similarity-preserving knowledge distillation,

Reference 45

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no resolver link, observed 2026-08-10T23:12:40.450829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.450829Z digest=sha256:b430ab6bd57f839c6cd9273a75c40c161ccbcb9ded66470e77011b6f4e543c8e

Observation ded18ce3-b219-4e5b-a09d-53c0be7a414f · outbound

This paper cites Visualizing adapted knowledge in domain transfer,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Visualizing adapted knowledge in domain transfer,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.417480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.455298Z digest=sha256:c3490904c45e62b953bb8b0eae492387bc3ad2ac00d4572f9a2c0884988b24e3

Observation e0dc68a0-0600-431a-ba96-3dcb0476e0b7 · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 47

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no resolver link, observed 2026-08-10T23:12:40.459882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.459882Z digest=sha256:79d0d2a7a2f9099f9def54945476696a992517401e07204fc9d9c97f6db08058

Observation 607e297e-294c-40b9-9978-5eeef4652293 · outbound

This paper cites Like What You Like: Knowledge Distill via Neuron Selectivity Transfer.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

Reference 48

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no resolver link, observed 2026-08-10T23:12:40.464803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.464803Z digest=sha256:e2550d660fd1d5a739a3ef5ef2c77f597eee046a274d397b1b6c7ec4553d0064

Observation de69a7be-9295-40a4-bab6-d0224603a164 · outbound

This paper cites Exploring inter-channel correlation for diversity-preserved knowledge distillation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Exploring inter-channel correlation for diversity-preserved knowledge distillation,

Reference 49

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no resolver link, observed 2026-08-10T23:12:40.469923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.469923Z digest=sha256:a0518c9b411d0e7245f6393776e46d5bffa0f8d39d596c65e10fe2ef40e37d39

Observation 23865dbd-bb02-4b84-8f41-2408ba86a7ad · outbound

This paper cites Similarity-preserving knowledge distillation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Similarity-preserving knowledge distillation,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.475312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.475312Z digest=sha256:93b998d16466b02e109bccb289f3485acafffb213ad46b717e5990a0fa4e8ec3

Observation 02d83825-0608-4872-a5dc-1e3370cf4910 · outbound

This paper cites Knowledge augmented deep neural networks for joint facial expression and action unit recognition,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Knowledge augmented deep neural networks for joint facial expression and action unit recognition,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.380490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.492354Z digest=sha256:064b9b5d398a2f676c8c685840a5822aad3cc15ba46292cad7ec71c4fce8066a

Observation 3348f71a-7f34-4d8c-9882-7b002653d486 · outbound

This paper cites Spatio-temporal graph for video captioning with knowledge distillation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Spatio-temporal graph for video captioning with knowledge distillation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.364984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.499965Z digest=sha256:c3a84415ab2a6db778189f0802b30dbac402d28ba105f55715d38597c6204213

Observation 13f84065-ea96-4759-92ee-3ffe81ffb7b3 · outbound

This paper cites Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:12:40.785829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.505281Z digest=sha256:99ab87f3db840dce888c1230e24452819588ea4f1a38c1129e26908f8b3c29f5

Observation 59669a81-45da-4e05-99a7-79dcc9504ec2 · outbound

This paper cites Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.510415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.510415Z digest=sha256:8c4d02602a73ed4784acceaf4a17b5c433bc23bda564ebe7f2613a472d909e4a

Observation 8c4be90b-943d-4cff-b205-62f4d56a47b2 · outbound

This paper cites Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Learning from 2D: Contrastive Pixel-to-Point Knowledge Transfer for 3D Pretraining

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.516215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.516215Z digest=sha256:b9e81e99073f9894328233ae27b44adac57a9bc97b4737679083dcfb4fe1685f

Observation 1c8a633b-bf34-4cc8-bd7e-ca0933c174f7 · outbound

This paper cites Image-to-lidar self-supervised distillation for autonomous driving data,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Image-to-lidar self-supervised distillation for autonomous driving data,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.347955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.521621Z digest=sha256:ac74b5b46c2df899738a1722707fabf0165a165d11521c5984321e60ad7c959c

Observation 3171bb4d-6b25-467e-b621-ad1f9895612a · outbound

This paper cites General instance distillation for object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation General instance distillation for object detection,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.332525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.526685Z digest=sha256:eae58b34d9a07f54250cf8b3e37c136c9bf0bba99d507dfffd75a8b42fc2911b

Observation 60b539da-fe61-4329-a085-7994259bd517 · outbound

This paper cites Learning efficient object detection models with knowledge distillation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Learning efficient object detection models with knowledge distillation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.316672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.531771Z digest=sha256:4c4267d9502da680d8764046181e3de3eef2a1afd81b4539cb3030a07c42707a

Observation 3760a5e1-dd7a-4d6c-b4d7-303e212a97ed · outbound

This paper cites Unidistill: A universal cross-modality knowledge distillation framework for 3d object detection in bird’s-eye view,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Unidistill: A universal cross-modality knowledge distillation framework for 3d object detection in bird’s-eye view,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.299332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.538288Z digest=sha256:617db73925e7360915d2635c05ab8781f554f9687be169c769d5789f65388d68

Observation e7bf65e5-f063-4e66-847d-cfdb1b76e50a · outbound

This paper cites Point-to-voxel knowledge distillation for lidar semantic segmentation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Point-to-voxel knowledge distillation for lidar semantic segmentation,

Reference 60

Resolution
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raw_fallback, observed 2026-08-10T23:12:41.282008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.543551Z digest=sha256:20632ca1ab3ced634f32eace82c6c8e78bb0b8d83ada163eb497e7fdfbd77441

Observation f4fec365-bc2b-4d79-b66f-ace5fddc4b41 · outbound

This paper cites Intra-class feature vari- ation distillation for semantic segmentation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Intra-class feature vari- ation distillation for semantic segmentation,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.266299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.549632Z digest=sha256:081065e1342788d89bc9793e6d183b271770047d7580fa75246a6e932d29f720

Observation 9f59a9fc-4fd5-45f9-8c44-663a86a92906 · outbound

This paper cites BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:12:40.724473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.554457Z digest=sha256:aac8c8f5f3a929cab52afa106edeac536b04b9418d86bbb1ab752acd964b1b10

Observation 51ba667f-b8da-4448-b519-ab82b862e48f · outbound

This paper cites X3kd: Knowledge distillation across modalities, tasks and stages for multi-camera 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation X3kd: Knowledge distillation across modalities, tasks and stages for multi-camera 3d object detection,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.249369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.559661Z digest=sha256:6aa9e7894ace6dd078618aa350f66812a2a496967f870b4d0e773cc80c071994

Observation 0966bcd0-07fa-47ce-8698-fe17be7aa95a · outbound

This paper cites Distillbev: Boosting multi-camera 3d object detection with cross-modal knowledge distil- lation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Distillbev: Boosting multi-camera 3d object detection with cross-modal knowledge distil- lation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.233983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.564725Z digest=sha256:01851d2db30b42aac6be8d5d1fb057eea0c9fc9dffd9bb947a1c0866e1ecb960

Observation 7567a713-57e2-47ed-9f01-6bb1ee97c40d · outbound

This paper cites Simdistill: Simulated multi-modal distillation for bev 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Simdistill: Simulated multi-modal distillation for bev 3d object detection,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.217091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.569359Z digest=sha256:2fff3708f7309c40ba442a90eaa42da61c46a48f6234a3723eeab756d924f397

Observation 2810a9c1-e156-41ac-87fc-b9c56be925b0 · outbound

This paper cites Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:12:40.695871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.574210Z digest=sha256:94fb0d3614f8ef327928f3bc54b25486cd93b35cca1d9bfa02edc826dbc3cf62

Observation b07fc003-323c-42fd-b3c3-408a37cf5dc7 · outbound

This paper cites Distilling focal knowledge from imperfect expert for 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Distilling focal knowledge from imperfect expert for 3d object detection,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.201330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.579845Z digest=sha256:b3941bf0efa0ac440e525216551c63e67b00eae0019ec1a510c7af327dd09580

Observation a8924da7-c20f-48e0-afe7-d0a199d59a7e · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.185153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.585598Z digest=sha256:f4761fbc383e0062d8afaf501125eddac54315aa01372c2a86c107f40f1f3ccb

Observation ae958a37-cf02-4812-8267-5a4af0d29585 · outbound

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation nuscenes: A multimodal dataset for autonomous driving,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.591202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.591202Z digest=sha256:437e908f19896b0d78af441c92840f29aa1e8c2816d054ca903306a0cd17c5c8

Observation 3f57e660-3ee2-4837-97b1-20ded914167a · outbound

This paper cites The pascal visual object classes (voc) challenge,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation The pascal visual object classes (voc) challenge,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.599981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.599981Z digest=sha256:be56ce0998f58107a1bc8cc6e4622623ee04a8549bed698079dcbcb950f029a2

Observation 0730c6bd-f04e-4821-af27-eb4049427018 · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep network,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Depth map prediction from a single image using a multi-scale deep network,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.605556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.605556Z digest=sha256:4f829c06f37ea8e507c8449fa6fd3f6e4567d358bbd539e627470cea2a9a2bd4

Observation b16e645d-bcc3-4189-9af9-cd13d846c29c · outbound

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T23:12:40.610905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:12:40.610905Z digest=sha256:d549c2b3eff27259aac4607defc7dd48bcbe892786ecee3b27d84fd5f8102257

Observation cf395b78-1e30-4762-912f-c526cb9dc369 · outbound

This paper cites A convnet for the 2020s,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation A convnet for the 2020s,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.148160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.617383Z digest=sha256:2c219be085b4f98da5e2896b5e4ab7259991849f2898b9cfe0eb7c5b5b627598

Observation c07a1add-9b8a-46f8-99cd-10a12bec61c9 · outbound

This paper cites Stxd: structural and temporal cross-modal distillation for multi-view 3d object detection,.

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation Stxd: structural and temporal cross-modal distillation for multi-view 3d object detection,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:12:41.131762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:12:40.622654Z digest=sha256:ac38e805d45a198d79e00c209b96ba91d1bd3af326a3365fa4f99981fdb6ac5a

Pith citing papers

Observation d1e28811-9e22-4fa5-8f72-20f17fa377a5 · inbound

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras cites this paper.

CAM3DNet: Comprehensively mining the multi-scale features for 3D Object Detection with Multi-View Cameras TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:16:54.768971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:16:33.640040Z digest=sha256:2396f2f6018b67fb3f48d3b29ccb6617f13981cba2e32299511d2646ae9e8d9b