Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes | Paper Citation Record

Observation c75eca5b-3add-4908-a582-fc3522310408 · outbound

This paper cites Deep ViT Features as Dense Visual Descriptors.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Deep ViT Features as Dense Visual Descriptors

Reference 1

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Observation 7b8975e8-e3e6-42b4-9971-7613bd7573f1 · outbound

This paper cites Nemo: Neural mesh models of contrastive features for robust 3d pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Nemo: Neural mesh models of contrastive features for robust 3d pose estimation

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This paper cites Coke: Contrastive learning for robust keypoint detec- tion.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Coke: Contrastive learning for robust keypoint detec- tion

Reference 3

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This paper cites Graph-cut RANSAC.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Graph-cut RANSAC

Reference 4

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This paper cites Progressive-x: Efficient, anytime, multi-model fitting algorithm.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Progressive-x: Efficient, anytime, multi-model fitting algorithm

Reference 5

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Observation 0b9886e6-532e-4ef6-972b-ab172c213e7c · outbound

This paper cites Point pair features based object detection and pose estimation revisited.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Point pair features based object detection and pose estimation revisited

Reference 6

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Observation 4ed2ad6a-f466-437e-a29c-032f52d93f5a · outbound

This paper cites EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach

Reference 7

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Observation ac5cc8c3-c8c4-482f-938a-663aa1da206a · outbound

This paper cites End-to- end object detection with transformers.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes End-to- end object detection with transformers

Reference 8

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Observation 9f13cff1-6c51-4e4d-bc44-71885969606f · outbound

This paper cites Sgpa: Structure-guided prior adapta- tion for category-level 6d object pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Sgpa: Structure-guided prior adapta- tion for category-level 6d object pose estimation

Reference 9

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Observation 672b35b9-edd1-49d7-bec8-0b577582ec03 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 10

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Observation 314889e8-3c87-434b-96c0-26b61061821f · outbound

This paper cites Pointposenet: Point pose network for robust 6d object pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Pointposenet: Point pose network for robust 6d object pose estimation

Reference 11

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Observation b0e55f2a-629c-46e7-806b-09714022a202 · outbound

This paper cites Secondpose: Se (3)- consistent dual-stream feature fusion for category-level pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Secondpose: Se (3)- consistent dual-stream feature fusion for category-level pose estimation

Reference 12

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Observation 3c3f855c-4d18-4bf2-9097-29755fcae652 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Masked-attention mask transformer for universal image segmentation

Reference 13

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Observation edacdb6c-00ae-4909-8dd4-2dcd354584f8 · outbound

This paper cites 3d pose esti- mation of daily objects using an rgb-d camera.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes 3d pose esti- mation of daily objects using an rgb-d camera

Reference 14

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Observation ec6a0122-e0f5-4e6b-86fd-6d3d6f86db96 · outbound

This paper cites Object level depth recon- struction for category level 6d object pose estimation from monocular rgb image.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Object level depth recon- struction for category level 6d object pose estimation from monocular rgb image

Reference 15

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Observation be1194df-87a7-44ca-bd3b-55d48b528af0 · outbound

This paper cites inemo: Incremental neural mesh models for robust class-incremental learning.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes inemo: Incremental neural mesh models for robust class-incremental learning

Reference 16

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Observation c1e85c55-daef-4ba4-af59-99b2995de673 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981

Reference 17

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This paper cites Mask r-cnn.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Mask r-cnn

Reference 18

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Observation b14ea190-67fd-4437-b18d-66ab83888eb2 · outbound

This paper cites Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation

Reference 19

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Observation ae863c4d-bb9d-40e8-9ad9-fe606f8ff5b4 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations

Reference 20

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Observation 35d0a333-c18d-4ed5-9edc-d58c2dcd5f66 · outbound

This paper cites A direct least- squares (dls) method for pnp.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes A direct least- squares (dls) method for pnp

Reference 21

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Observation 48cfacb6-cf30-469a-be98-4363b68be95e · outbound

This paper cites Segmentation-driven 6d object pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Segmentation-driven 6d object pose estimation

Reference 22

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Observation f04b2083-0897-408a-bcbe-9cfc1f8c181d · outbound

This paper cites Single-stage 6d object pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Single-stage 6d object pose estimation

Reference 23

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Observation 7aba780c-59a6-4305-b7d2-cca1aba08de6 · outbound

This paper cites Centersnap: Single-shot multi-object 3d shape reconstruction and categorical 6d pose and size estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Centersnap: Single-shot multi-object 3d shape reconstruction and categorical 6d pose and size estimation

Reference 24

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Observation 7ca82dec-9b1c-4549-be78-8bdaeee6e5de · outbound

This paper cites Shapo: Im- plicit representations for multi-object shape, appearance, and pose optimization.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Shapo: Im- plicit representations for multi-object shape, appearance, and pose optimization

Reference 25

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Observation 6036e50e-ed4a-4c10-9616-0aaa39ce5310 · outbound

This paper cites Novum: Neural object volumes for robust object classification.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Novum: Neural object volumes for robust object classification

Reference 26

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Observation fb49ae59-a21f-4c5a-8349-177797c9cf5d · outbound

This paper cites Real-time perception meets reactive motion gener- ation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Real-time perception meets reactive motion gener- ation

Reference 27

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Observation 0912d48a-f95e-4c94-bf7b-2cb53c4f8d3c · outbound

This paper cites Pose estimation for an autonomous vehicle using monocular vision.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Pose estimation for an autonomous vehicle using monocular vision

Reference 28

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Observation 3fb0955b-a1d7-4e60-aa10-dc1c4ba7c5a0 · outbound

This paper cites Cosypose: Consistent multi-view multi-object 6d pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Cosypose: Consistent multi-view multi-object 6d pose estimation

Reference 29

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Observation c6e2dd61-fe3f-4cd3-a34f-bf5d1f422ee6 · outbound

This paper cites Category-level metric scale object shape and pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Category-level metric scale object shape and pose estimation

Reference 30

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This paper cites Epnp: An accurate o(n) solution to the pnp problem.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Epnp: An accurate o(n) solution to the pnp problem

Reference 31

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Observation 05ce3485-3cb3-4b13-9ea4-6d3fbd364711 · outbound

This paper cites Deepim: Deep iterative matching for 6d pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Deepim: Deep iterative matching for 6d pose estimation

Reference 32

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Observation 82140d6a-8e06-4984-9e23-506b624f5098 · outbound

This paper cites Dualposenet: Category-level 6d object pose and size estimation using dual pose network with re- fined learning of pose consistency.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Dualposenet: Category-level 6d object pose and size estimation using dual pose network with re- fined learning of pose consistency

Reference 33

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Observation ff9f01b0-91cd-4672-aec7-cebb06a0d0b8 · outbound

This paper cites Category-level 6d object pose and size estimation using self- supervised deep prior deformation networks.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Category-level 6d object pose and size estimation using self- supervised deep prior deformation networks

Reference 34

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Observation a62f121e-4f8a-4540-8785-4dc4fb9d34e6 · outbound

This paper cites Instance-adaptive and geometric-aware keypoint learning for category-level 6d object pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Instance-adaptive and geometric-aware keypoint learning for category-level 6d object pose estimation

Reference 35

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Observation 5a9f8396-ea46-4380-a4dd-396203bee834 · outbound

This paper cites Single-stage keypoint-based category-level object pose estimation from an rgb image.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Single-stage keypoint-based category-level object pose estimation from an rgb image

Reference 36

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Observation 5d93b3ac-1bf6-436b-8ad9-148b01758e7e · outbound

This paper cites Deep learning-based object pose estimation: A comprehensive survey.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Deep learning-based object pose estimation: A comprehensive survey

Reference 37

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Observation 122c2468-d0e0-48d7-8f1d-5ce562534233 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 38

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Observation 6bcd02f1-6886-48da-a1a4-1208c0c9e694 · outbound

This paper cites Decoupled Weight Decay Regularization.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Decoupled Weight Decay Regularization

Reference 39

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Observation 89b17b11-d027-4279-a1ee-184f799fe1f0 · outbound

This paper cites Robust category-level 6d pose estimation with coarse-to-fine rendering of neural features.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Robust category-level 6d pose estimation with coarse-to-fine rendering of neural features

Reference 40

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Observation 722534d4-f222-4be4-8f05-a1dd64d8c783 · outbound

This paper cites Pose estimation for augmented reality: a hands-on survey.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Pose estimation for augmented reality: a hands-on survey

Reference 41

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Observation a90f30fb-ae4a-4f64-ba47-05a4f8c069bb · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes DINOv2: Learning Robust Visual Features without Supervision

Reference 42

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Observation e205e8cd-7e98-473e-9c21-64628a69d9cd · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Accelerating 3D Deep Learning with PyTorch3D

Reference 43

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Observation 2be4551c-7d46-423b-b18c-74fed62e382c · outbound

This paper cites Faster r-cnn: towards real-time object detection with re- gion proposal networks.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Faster r-cnn: towards real-time object detection with re- gion proposal networks

Reference 44

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Observation 6b295475-2a27-4cb8-918f-026ae28161f9 · outbound

This paper cites Fast 3d recognition and pose using the viewpoint feature histogram.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Fast 3d recognition and pose using the viewpoint feature histogram

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.669346Z

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Observation 3667bca0-fc41-4d32-82ba-476041abeeed · outbound

This paper cites Deep multi-state object pose estimation for augmented reality assembly.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Deep multi-state object pose estimation for augmented reality assembly

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.650131Z

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Observation c0746059-cabb-42fd-93a1-066cbac36b18 · outbound

This paper cites Zebrapose: Coarse to fine surface encod- ing for 6dof object pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Zebrapose: Coarse to fine surface encod- ing for 6dof object pose estimation

Reference 47

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Observation 28c5272a-cf09-492b-a567-a05a6fa62ac2 · outbound

This paper cites Generalised dice overlap as a deep learning loss function for highly unbalanced segmen- tations.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Generalised dice overlap as a deep learning loss function for highly unbalanced segmen- tations

Reference 48

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Observation f3e7ff66-82a8-49a1-8080-37d2d50ac5e4 · outbound

This paper cites Real-time seamless single shot 6d object pose prediction.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Real-time seamless single shot 6d object pose prediction

Reference 49

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Observation 703b647e-2134-45d2-82d0-5291aa9307aa · outbound

This paper cites Cope: End-to-end trainable constant runtime object pose es- timation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Cope: End-to-end trainable constant runtime object pose es- timation

Reference 50

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Observation 92c24449-a9e0-4ed4-b3c7-9cb6ef7e406a · outbound

This paper cites Shape prior deformation for categorical 6d object pose and size estima- tion.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Shape prior deformation for categorical 6d object pose and size estima- tion

Reference 51

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This paper cites Least-squares estimation of transforma- tion parameters between two point patterns.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Least-squares estimation of transforma- tion parameters between two point patterns

Reference 52

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Observation 58a9f650-7c16-4a83-aaca-abab3e23d1c2 · outbound

This paper cites Socs: Semantically- aware object coordinate space for category-level 6d object pose estimation under large shape variations.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Socs: Semantically- aware object coordinate space for category-level 6d object pose estimation under large shape variations

Reference 53

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Observation e8c7b280-463a-4feb-b476-cf9b6dc330a4 · outbound

This paper cites Normalized object coordinate space for category-level 6d object pose and size estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Normalized object coordinate space for category-level 6d object pose and size estimation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.509178Z

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Observation 23408fef-1559-4ab7-9ae1-b45238e9978e · outbound

This paper cites Rgb-based category-level object pose estimation via decoupled metric scale recovery.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Rgb-based category-level object pose estimation via decoupled metric scale recovery

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.484821Z

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Observation 798bc57e-8c6d-4f2c-be3a-86ae0ba6baf1 · outbound

This paper cites Catgrasp: Learning category-level task-relevant grasping in clutter from simulation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Catgrasp: Learning category-level task-relevant grasping in clutter from simulation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.447691Z

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Observation 36b032ab-ecbb-4e88-85a6-5ec5d65bd48c · outbound

This paper cites You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration

Reference 57

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Observation 16fb049a-4e5e-4fa5-812b-32626e542141 · outbound

This paper cites PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 58

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This paper cites Parameter-efficient fine-tuning for pre-trained vision models: A survey.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Parameter-efficient fine-tuning for pre-trained vision models: A survey

Reference 59

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Observation a33b92a3-169b-4e15-9832-ce0f6c929d0a · outbound

This paper cites Dpod: 6d pose object detector and refiner.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Dpod: 6d pose object detector and refiner

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.436457Z

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Observation 3692bd2b-1580-4f99-b545-8dd2ad8175ee · outbound

This paper cites Genpose: gen- erative category-level object pose estimation via diffusion models.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Genpose: gen- erative category-level object pose estimation via diffusion models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.422976Z

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Observation ecab0dd0-6e4c-4ce2-a3c0-b7672f8e1d00 · outbound

This paper cites Lapose: Laplacian mixture shape modeling for rgb-based category-level object pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Lapose: Laplacian mixture shape modeling for rgb-based category-level object pose estimation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.410960Z

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Observation 52a47274-130b-4221-ada8-a6ec9f827900 · outbound

This paper cites Deep fusion transformer network with weighted vector-wise keypoints voting for robust 6d object pose estimation.

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes Deep fusion transformer network with weighted vector-wise keypoints voting for robust 6d object pose estimation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.397402Z

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