Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning | Paper Citation Record

Observation 3f37f007-7dec-4d92-89c1-36af4a3e916b · outbound

This paper cites V oxel r- cnn: Towards high performance voxel-based 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning V oxel r- cnn: Towards high performance voxel-based 3d object detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.462646Z

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Observation 00102b8e-7965-4b6b-b021-17fb79b4650f · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Pv-rcnn: Point-voxel feature set abstraction for 3d object detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.387542Z

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Observation 8b644586-9363-4a86-a313-f8a6165e9c1f · outbound

This paper cites BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:30:16.732787Z

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Observation eae35d79-7450-4fc3-bb35-baefbba7af8e · outbound

This paper cites Cross modal transformer: Towards fast and robust 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Cross modal transformer: Towards fast and robust 3d object detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.390977Z

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Observation 1a277c5d-856f-4794-9339-1758b136761b · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.408003Z

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Observation 50d8662d-19c5-4305-9a81-d798beba5861 · outbound

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

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning nuscenes: A multimodal dataset for autonomous driving

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.383452Z

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Observation b232d0ca-42aa-43e4-96c4-64f5fba4ca01 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Scalability in perception for autonomous driving: Waymo open dataset

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.428049Z

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Observation 6471ac44-45b3-4b33-bdf9-ecf7659a09f2 · outbound

This paper cites Towards unsupervised object detection from lidar point clouds.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Towards unsupervised object detection from lidar point clouds

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.440142Z

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Observation 8c2171ad-81da-4f51-a366-db3db3c73f79 · outbound

This paper cites Commonsense prototype for outdoor unsupervised 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Commonsense prototype for outdoor unsupervised 3d object detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.423016Z

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Observation cb717513-90c6-4dc7-9d36-0cef60c88921 · outbound

This paper cites Learning to detect mobile objects from lidar scans without labels.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Learning to detect mobile objects from lidar scans without labels

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.447940Z

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Observation c38fc37b-dcba-4367-b0df-fc01500d7325 · outbound

This paper cites Liso: Lidar-only self- supervised 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Liso: Lidar-only self- supervised 3d object detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.455850Z

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Observation c7b4cbca-2d52-45f2-9e82-37a9f9667ca4 · outbound

This paper cites Motal: Unsupervised 3d object detection by modality and task-specific knowledge transfer.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Motal: Unsupervised 3d object detection by modality and task-specific knowledge transfer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.470006Z

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Observation 3106ded2-8cc1-45d9-b324-c53a454eaf75 · outbound

This paper cites Fgr: Frustum-aware geometric reasoning for weakly supervised 3d vehicle detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Fgr: Frustum-aware geometric reasoning for weakly supervised 3d vehicle detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.379265Z

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Observation 6d26f0ba-2a54-4595-9b02-e4507ddb396f · outbound

This paper cites Annofreeod: Detecting all classes at low frame rates without human annotations.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Annofreeod: Detecting all classes at low frame rates without human annotations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.423798Z

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Observation b6387d6a-069b-4852-bd60-a35f0d7fc7ef · outbound

This paper cites Enhancing pseudo-boxes via data- level lidar-camera fusion for unsupervised 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Enhancing pseudo-boxes via data- level lidar-camera fusion for unsupervised 3d object detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.452142Z

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Observation eff764fb-6678-48c6-b1b8-85545c7e1815 · outbound

This paper cites Approaching outside: scaling unsupervised 3d object detection from 2d scene.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Approaching outside: scaling unsupervised 3d object detection from 2d scene

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.465981Z

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Observation b9b21bb8-60ee-48d0-9b88-2aa2d34ac059 · outbound

This paper cites Union: Unsupervised 3d ob- ject detection using object appearance-based pseudo-classes.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Union: Unsupervised 3d ob- ject detection using object appearance-based pseudo-classes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.431192Z

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Observation faa9c3e0-72d6-42b9-bcd8-9053413551fc · outbound

This paper cites Coin: Contrastive instance feature mining for outdoor 3d object detection with very limited annotations.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Coin: Contrastive instance feature mining for outdoor 3d object detection with very limited annotations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.426891Z

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Observation c6743666-d09a-4a7a-8aab-c64a1323058d · outbound

This paper cites Learning class prototypes for unified sparse-supervised 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Learning class prototypes for unified sparse-supervised 3d object detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.443694Z

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Observation 34e2d249-8016-408f-a720-39108af5f1d7 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.419247Z

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Observation 98e8d2ff-0bdc-4c7f-96df-ab21971de8a3 · outbound

This paper cites Second: Sparsely embedded convolutional detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Second: Sparsely embedded convolutional detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.436135Z

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Observation 421f7b6d-21f0-4e2d-aa1f-6dd3e334a347 · outbound

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

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Center-based 3d object detection and tracking

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.459223Z

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Observation f739696b-2a65-4571-a0f2-b37787be9cf3 · outbound

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

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Pointpillars: Fast encoders for object detection from point clouds

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.474256Z

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Observation 2ef9a3fa-00f0-4a1a-935c-492fc2a5be65 · outbound

This paper cites Smoke: Single-stage monocular 3d object detection via keypoint estimation.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Smoke: Single-stage monocular 3d object detection via keypoint estimation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.751731Z

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Observation b37208be-b6d3-4785-84a0-de740bf1058d · outbound

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

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Categorical depth distribution network for monocular 3d object detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.734725Z

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Observation 8c148886-13ec-4ff5-b914-9997ab9c57af · outbound

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

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Petr: Position embedding trans- formation for multi-view 3d object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.729917Z

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Observation adc8ff13-1896-42b6-af74-b582ba2f2c13 · outbound

This paper cites Mvx-net: Multimodal voxelnet for 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Mvx-net: Multimodal voxelnet for 3d object detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.714558Z

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Observation d16f8ad5-d720-4f92-ab3e-95dff4858cf3 · outbound

This paper cites Synet: A synergistic network for 3d object detection through geometric-semantic-based multi- interaction fusion.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Synet: A synergistic network for 3d object detection through geometric-semantic-based multi- interaction fusion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.806669Z

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Observation a422f19c-937a-4b8b-992a-7fc6ea542e0f · outbound

This paper cites Detection, classification and tracking of moving objects in a 3d environment.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Detection, classification and tracking of moving objects in a 3d environment

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.739532Z

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Observation 5ece3099-329a-4102-8163-75169e5b0acc · outbound

This paper cites Robust moving objects detection in lidar data exploiting visual cues.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Robust moving objects detection in lidar data exploiting visual cues

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.793094Z

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Observation bb2af791-4740-4f4b-8792-7751d65b88e5 · outbound

This paper cites Dynamic multi-lidar based multiple object detection and tracking.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Dynamic multi-lidar based multiple object detection and tracking

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.719667Z

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Observation ffd90867-e1bb-46c3-9d4c-651a81ce1536 · outbound

This paper cites Ss3d: Sparsely- supervised 3d object detection from point cloud.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Ss3d: Sparsely- supervised 3d object detection from point cloud

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.765514Z

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Observation e6668e32-55a3-4222-92dc-619c949cfd6c · outbound

This paper cites Hinted: Hard instance enhanced detector with mixed-density feature fusion for sparsely-supervised 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Hinted: Hard instance enhanced detector with mixed-density feature fusion for sparsely-supervised 3d object detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.825544Z

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Observation e495abe2-fcc7-4c04-9838-ea0db06a1039 · outbound

This paper cites Sp3d: Boosting sparsely-supervised 3d object detection via accurate cross-modal semantic prompts.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Sp3d: Boosting sparsely-supervised 3d object detection via accurate cross-modal semantic prompts

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.813129Z

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Observation 0c14bcb8-8894-4659-80ad-01ebf33a8eb9 · outbound

This paper cites Hardness-aware scene syn- thesis for semi-supervised 3d object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Hardness-aware scene syn- thesis for semi-supervised 3d object detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.775598Z

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Observation 9cf839e4-f948-4e7a-beb8-0684d84cd5a4 · outbound

This paper cites Weakly supervised object detection with class prototypical network.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Weakly supervised object detection with class prototypical network

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.819815Z

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Observation 406e137c-11df-4ec6-8a04-0d8c6fad7437 · outbound

This paper cites Break- ing immutable: Information-coupled prototype elaboration for few-shot object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Break- ing immutable: Information-coupled prototype elaboration for few-shot object detection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.831413Z

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Observation 5db8efb5-0324-41b2-889f-786adbc6142e · outbound

This paper cites Query- guided prototype evolution network for few-shot segmentation.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Query- guided prototype evolution network for few-shot segmentation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.845092Z

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Observation 2af1a440-8027-4ab9-89ce-b948ed2d3e4e · outbound

This paper cites Prototypical votenet for few-shot 3d point cloud object detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Prototypical votenet for few-shot 3d point cloud object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.839135Z

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Observation e69c933e-04fe-4130-ae2b-f530d1e73ba7 · outbound

This paper cites Gpa-3d: Geometry- aware prototype alignment for unsupervised domain adaptive 3d object detection from point clouds.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Gpa-3d: Geometry- aware prototype alignment for unsupervised domain adaptive 3d object detection from point clouds

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.857931Z

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Observation be5f68d3-bdba-40fd-bb6c-6d856d857d96 · outbound

This paper cites Cl3d: Unsupervised domain adaptation for cross-lidar 3d detection.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Cl3d: Unsupervised domain adaptation for cross-lidar 3d detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.745701Z

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Observation aeb3cc61-dc01-4a35-87e1-32f159adf34d · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Momentum contrast for unsupervised visual representation learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.787218Z

Source-reported events for the cited work

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Observation a6f2fc35-66c4-46f3-8783-279dfaa9328b · outbound

This paper cites Patchwork++: Fast and robust ground segmentation solving partial under-segmentation using 3d point cloud.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Patchwork++: Fast and robust ground segmentation solving partial under-segmentation using 3d point cloud

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.709875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4ef6b7b8-c0ee-4e79-9a6c-36a1e7bfd6ca · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:30:16.743623Z

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Observation 2187c3ef-23af-49fa-8664-17c5936fb092 · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:30:16.745238Z

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Observation fd6b362c-4887-47fd-add4-63959339be1f · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.798416Z

Source-reported events for the cited work

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Observation 2577072e-b434-4ab7-91b9-eebe5885f26e · outbound

This paper cites K-nearest neighbor.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning K-nearest neighbor

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.852482Z

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Observation 2b9bfdc1-809c-4b6b-b1db-a3798f5702ac · outbound

This paper cites Efficient l-shape fitting for vehicle detection using laser scanners.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Efficient l-shape fitting for vehicle detection using laser scanners

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.724258Z

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Observation b7aeedef-56a0-4947-9ac5-d2c8545c61fb · outbound

This paper cites V oxelnext: Fully sparse voxelnet for 3d object detection and tracking.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning V oxelnext: Fully sparse voxelnet for 3d object detection and tracking

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:31:31.759136Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 77ebe0b9-2330-43e3-bf1a-6cc157fe0d2f · outbound

This paper cites These settings are selected according to the characteristics of KITTI and nuScenes to balance pseudo-label precision and recall.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning These settings are selected according to the characteristics of KITTI and nuScenes to balance pseudo-label precision and recall

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T19:30:18.437133Z

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Observation 4c56aff8-5d6a-4386-9294-5e3c5c170b02 · outbound

This paper cites an unresolved cited work.

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-15T19:30:18.432311Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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