Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts | Paper Citation Record

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This paper cites A survey on 3d object detection methods for autonomous driving applica- tions.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts A survey on 3d object detection methods for autonomous driving applica- tions

Reference 1

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This paper cites A theory of learning from different domains.Machine learn- ing, 79:151–175, 2010.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts A theory of learning from different domains.Machine learn- ing, 79:151–175, 2010

Reference 2

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This paper cites Convex analysis and optimization.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Convex analysis and optimization

Reference 3

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This paper cites Parameter-free online test-time adaptation.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Parameter-free online test-time adaptation

Reference 4

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This paper cites nuscenes: A multi- modal dataset for autonomous driving.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts nuscenes: A multi- modal dataset for autonomous driving

Reference 5

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This paper cites Foreground- background imbalance problem in deep object detectors: A review.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Foreground- background imbalance problem in deep object detectors: A review

Reference 6

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This paper cites Monopair: Monocular 3d object detection using pairwise spatial relationships.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Monopair: Monocular 3d object detection using pairwise spatial relationships

Reference 7

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This paper cites Learning depth-guided con- volutions for monocular 3d object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Learning depth-guided con- volutions for monocular 3d object detection

Reference 8

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This paper cites Why does unsupervised pre-training help deep learning? In Proceedings of the thirteenth international con- ference on artificial intelligence and statistics , pages 201–.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Why does unsupervised pre-training help deep learning? In Proceedings of the thirteenth international con- ference on artificial intelligence and statistics , pages 201–

Reference 9

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This paper cites Fast-slow test- time adaptation for online vision-and-language navigation.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Fast-slow test- time adaptation for online vision-and-language navigation

Reference 10

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This paper cites Are we ready for autonomous driving? the kitti vision bench- mark suite.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Are we ready for autonomous driving? the kitti vision bench- mark suite

Reference 11

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This paper cites Test time adaptation via conjugate pseudo-labels.Ad- vances in Neural Information Processing Systems, 35:6204– 6218, 2022.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Test time adaptation via conjugate pseudo-labels.Ad- vances in Neural Information Processing Systems, 35:6204– 6218, 2022

Reference 12

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This paper cites Clust3: Information invariant test- time training.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Clust3: Information invariant test- time training

Reference 13

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This paper cites Benchmarking neu- ral network robustness to common corruptions and perturba- tions.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Benchmarking neu- ral network robustness to common corruptions and perturba- tions

Reference 14

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This paper cites Gradient-based uncertainty for monocular depth estimation.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Gradient-based uncertainty for monocular depth estimation

Reference 15

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This paper cites SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation

Reference 16

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This paper cites Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation

Reference 17

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This paper cites Monodtr: Monocular 3d object detection with depth-aware transformer.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Monodtr: Monocular 3d object detection with depth-aware transformer

Reference 18

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This paper cites Test-time classifier adjustment module for model-agnostic domain generaliza- tion.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Test-time classifier adjustment module for model-agnostic domain generaliza- tion

Reference 19

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This paper cites Design of an image edge detection filter using the sobel operator.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Design of an image edge detection filter using the sobel operator

Reference 20

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This paper cites Efficient test-time adaptation of vision-language models.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Efficient test-time adaptation of vision-language models

Reference 21

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This paper cites Entropy is not enough for test-time adaptation: From the perspective of disentangled factors.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Entropy is not enough for test-time adaptation: From the perspective of disentangled factors

Reference 22

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This paper cites A comprehensive sur- vey on test-time adaptation under distribution shifts.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts A comprehensive sur- vey on test-time adaptation under distribution shifts

Reference 23

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This paper cites Monotta: Fully test-time adaptation for monoc- ular 3d object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Monotta: Fully test-time adaptation for monoc- ular 3d object detection

Reference 24

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This paper cites Focal loss for dense object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Focal loss for dense object detection

Reference 25

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This paper cites Video test-time adaptation for action recognition.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Video test-time adaptation for action recognition

Reference 26

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This paper cites Depth-aware test-time training for zero-shot video object segmentation.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Depth-aware test-time training for zero-shot video object segmentation

Reference 27

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This paper cites Autoshape: Real-time shape-aware monoc- ular 3d object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Autoshape: Real-time shape-aware monoc- ular 3d object detection

Reference 28

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

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation

Reference 29

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This paper cites Geometry uncer- tainty projection network for monocular 3d object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Geometry uncer- tainty projection network for monocular 3d object detection

Reference 30

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This paper cites Latr: 3d lane detection from monocular images with transformer.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Latr: 3d lane detection from monocular images with transformer

Reference 31

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This paper cites Delving into localization errors for monocular 3d object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Delving into localization errors for monocular 3d object detection

Reference 32

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This paper cites 3d object detection from images for autonomous driv- ing: a survey.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts 3d object detection from images for autonomous driv- ing: a survey

Reference 33

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This paper cites Vision-centric bev perception: A survey.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Vision-centric bev perception: A survey

Reference 34

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This paper cites Power-law escape rate of sgd.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Power-law escape rate of sgd

Reference 35

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This paper cites Efficient test-time model adaptation without forgetting.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Efficient test-time model adaptation without forgetting

Reference 36

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This paper cites Towards stable test-time adaptation in dynamic wild world.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Towards stable test-time adaptation in dynamic wild world

Reference 37

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This paper cites Pytorch: An imperative style, high-performance deep learning library.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Pytorch: An imperative style, high-performance deep learning library

Reference 38

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

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts On the uncertainty of self-supervised monocular depth estimation

Reference 39

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This paper cites Monoground: Detecting monocular 3d objects from the ground.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Monoground: Detecting monocular 3d objects from the ground

Reference 40

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

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Categorical depth distribution network for monocular 3d object detection

Reference 41

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This paper cites Uncertainty reduction for model adaptation in semantic segmentation.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Uncertainty reduction for model adaptation in semantic segmentation

Reference 42

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Observation 1e59e708-d234-44ac-8e13-3ddf6e5f171f · outbound

This paper cites Disen- tangling monocular 3d object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Disen- tangling monocular 3d object detection

Reference 43

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This paper cites Test-time training with self- supervision for generalization under distribution shifts.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Test-time training with self- supervision for generalization under distribution shifts

Reference 44

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This paper cites Legendre-fenchel transforms in a nutshell.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Legendre-fenchel transforms in a nutshell

Reference 45

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This paper cites Tent: Fully test-time adaptation by entropy minimization.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Tent: Fully test-time adaptation by entropy minimization

Reference 46

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This paper cites Depth- conditioned dynamic message propagation for monocular 3d object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Depth- conditioned dynamic message propagation for monocular 3d object detection

Reference 47

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Observation bb1c1cde-ec03-4435-be71-b3d99ca58773 · outbound

This paper cites Probabilistic and geometric depth: Detecting objects in per- spective.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Probabilistic and geometric depth: Detecting objects in per- spective

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:45.143567Z

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Observation 13015a2b-4db6-4594-952b-16349114e3a1 · outbound

This paper cites Train in germany, test in the usa: Making 3d ob- ject detectors generalize.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Train in germany, test in the usa: Making 3d ob- ject detectors generalize

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:44.874861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de410039-a533-401b-8cba-34a8dddea8e6 · outbound

This paper cites Uncertainty-aware pseudo label refinery for domain adaptive semantic segmentation.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Uncertainty-aware pseudo label refinery for domain adaptive semantic segmentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:44.484301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c6d09a26-28c7-4c6d-9e25-5e70f9605a94 · outbound

This paper cites Backpropagation-free network for 3d test-time adapta- tion.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Backpropagation-free network for 3d test-time adapta- tion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:44.149197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9dd2f8c4-b6f8-44b7-9ebc-7af5f036ef19 · outbound

This paper cites Mononerd: Nerf- like representations for monocular 3d object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Mononerd: Nerf- like representations for monocular 3d object detection

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:43.840894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cac38009-8fec-4b41-9361-063d464d0d71 · outbound

This paper cites Monocd: Monocular 3d object detection with complementary depths.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Monocd: Monocular 3d object detection with complementary depths

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:43.588777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 64b6f126-b37d-4af3-b433-20d96fb12f36 · outbound

This paper cites Deep layer aggregation.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Deep layer aggregation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:43.254829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 676f7bd5-6567-4761-b5d5-13bef478ba2e · outbound

This paper cites Objects are differ- ent: Flexible monocular 3d object detection.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Objects are differ- ent: Flexible monocular 3d object detection

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:42.969375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ec51e1be-f392-4cf7-8203-352d1901d832 · outbound

This paper cites DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTA- TION.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTA- TION

Reference 56

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T15:11:42.213882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d555f9f8-ca4c-4c4e-9c31-a277402777dd · outbound

This paper cites Gaussian Noise Shot Noise Impulse Noise Original Image Defocus Glass Blur Motion Blur Snow Frost Fog Brightness Contrast Pixelate Saturate Figure 8.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Gaussian Noise Shot Noise Impulse Noise Original Image Defocus Glass Blur Motion Blur Snow Frost Fog Brightness Contrast Pixelate Saturate Figure 8

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:42.637333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c2e938f0-12e4-480f-bdfc-13643c73a55f · outbound

This paper cites an unresolved cited work.

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts Unresolved cited work

Reference 208

Resolution: unresolved; raw_fallback, observed 2026-08-05T15:11:51.694599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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