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Paper Citation Record · LEDGER

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras

As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.28293.

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pith.paper-citation-record.v1
2607.28293 v1

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measured 50 of 50 reference resolution

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Outbound references

Observation 61049a36-78ef-4403-9fe0-6b7981fff4a1 · outbound

This paper cites Wearable supernumerary robotic limb system using a hybrid control approach based on motor imagery and object detection,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Wearable supernumerary robotic limb system using a hybrid control approach based on motor imagery and object detection,

Reference 1

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Observation 75969e8d-7ba3-4a95-a594-7b0ed1dc86e0 · outbound

This paper cites Current rates of prosthetic usage in upper-limb amputees–have innovations had an impact on device acceptance?.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Current rates of prosthetic usage in upper-limb amputees–have innovations had an impact on device acceptance?

Reference 2

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Observation 653f4bec-7358-4698-bf0e-b1f86b0e8829 · outbound

This paper cites Real-time radar-based gesture detection and recognition built in an edge-computing platform,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Real-time radar-based gesture detection and recognition built in an edge-computing platform,

Reference 3

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Observation 53a6c7ca-b17c-4204-ad4f-56891d78c6f1 · outbound

This paper cites The future of bionic limbs: The untapped synergy of signal processing, control, and wireless connectivity,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras The future of bionic limbs: The untapped synergy of signal processing, control, and wireless connectivity,

Reference 4

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Observation c9024cff-6943-46f8-aab3-59eab275a24f · outbound

This paper cites A survey of teleceptive sensing for wearable assistive robotic devices,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras A survey of teleceptive sensing for wearable assistive robotic devices,

Reference 5

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Observation f44010d2-2924-4732-aa77-6919691cf63c · outbound

This paper cites Explorations of autonomous prosthetic grasping via proximity vision and deep learning,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Explorations of autonomous prosthetic grasping via proximity vision and deep learning,

Reference 6

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Observation 40d5445f-44e1-4ecf-a4c9-5ba57a62bbac · outbound

This paper cites Continuous semi-autonomous prosthesis control using a depth sensor on the hand,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Continuous semi-autonomous prosthesis control using a depth sensor on the hand,

Reference 7

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Observation cfda2acf-b812-4424-9349-256ff4e46896 · outbound

This paper cites Hardware-aware affordance detection for application in portable embedded systems,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Hardware-aware affordance detection for application in portable embedded systems,

Reference 8

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Observation 2536c0aa-6f5c-4cb6-a2f9-4794b33579aa · outbound

This paper cites Learning affordance segmentation for real-world robotic manipulation via synthetic images,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Learning affordance segmentation for real-world robotic manipulation via synthetic images,

Reference 9

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Observation e952610d-8ded-44e1-b7dd-dee59e6518fb · outbound

This paper cites Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Reference 10

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Observation 3164627b-93dc-4cb8-9ab8-297293ef054f · outbound

This paper cites A large scale multi-view RGBD visual affordance learning dataset.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras A large scale multi-view RGBD visual affordance learning dataset

Reference 11

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Observation 3f89105c-742e-4acc-a00a-1590864373f1 · outbound

This paper cites Affordance seg- mentation using tiny networks for sensing systems in wearable robotic devices,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Affordance seg- mentation using tiny networks for sensing systems in wearable robotic devices,

Reference 12

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Observation f2dc1a5f-f5b9-4f5a-bd59-eb4be6a75fe7 · outbound

This paper cites A survey on rgb-d datasets,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras A survey on rgb-d datasets,

Reference 13

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Observation df2465a9-d452-4986-92b7-e4b0c4e5c719 · outbound

This paper cites Affordance segmentation using rgb-d sensors for application in portable embedded systems,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Affordance segmentation using rgb-d sensors for application in portable embedded systems,

Reference 14

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Observation 4c9fb2a0-aac8-47a6-9d74-87c84511735f · outbound

This paper cites Embedded deep learning accel- erators: A survey on recent advances,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Embedded deep learning accel- erators: A survey on recent advances,

Reference 15

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Observation d95b81b6-a22c-4513-a904-1caaeef5b959 · outbound

This paper cites Machine learning for microcontroller-class hardware-a review,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Machine learning for microcontroller-class hardware-a review,

Reference 16

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Observation f9192972-3dd1-4311-9b29-28f05830c25a · outbound

This paper cites Affordance detection of tool parts from geometric features,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Affordance detection of tool parts from geometric features,

Reference 17

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Observation 2e1cc977-4641-4ab7-acf9-6e269750e624 · outbound

This paper cites Detecting object affordances with convolutional neural networks,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Detecting object affordances with convolutional neural networks,

Reference 18

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Observation 86ba1a69-8db9-4eba-82cb-7d2bda450cda · outbound

This paper cites Resource-aware object classification and segmentation for semi-autonomous grasping with prosthetic hands,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Resource-aware object classification and segmentation for semi-autonomous grasping with prosthetic hands,

Reference 19

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Observation dc2d2dea-7902-4f2b-b2cc-b08db6739c93 · outbound

This paper cites Semi-autonomous control of prosthetic hands based on multimodal sensing, human grasp demonstration and user intention,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Semi-autonomous control of prosthetic hands based on multimodal sensing, human grasp demonstration and user intention,

Reference 20

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Observation ab87b167-d949-45fe-bfa9-121e4eecbdc7 · outbound

This paper cites Designing prosthetic hands with embodied intelligence: The kit prosthetic hands,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Designing prosthetic hands with embodied intelligence: The kit prosthetic hands,

Reference 21

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Observation 2c0a1207-cdca-41bc-9a84-90f285a794b6 · outbound

This paper cites Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis,

Reference 22

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Observation ad5687f4-ec03-4ca9-b138-6ea34f46a858 · outbound

This paper cites Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

Reference 23

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Observation c46e03b2-0d11-4283-8c5d-00514e7e44fb · outbound

This paper cites A review of sensory feedback in upper- limb prostheses from the perspective of human motor control,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras A review of sensory feedback in upper- limb prostheses from the perspective of human motor control,

Reference 24

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Observation f8fd19ce-acde-41e1-8e54-3db746c7f8ac · outbound

This paper cites Toward affordance detection and ranking on novel objects for real-world robotic manipulation,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Toward affordance detection and ranking on novel objects for real-world robotic manipulation,

Reference 25

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Observation bc3261d5-58af-4722-8e38-fbe34de305f6 · outbound

This paper cites An affordance keypoint detection network for robot manipulation,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras An affordance keypoint detection network for robot manipulation,

Reference 26

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Observation 5f86c07b-0d67-44a5-9812-778dbc88b976 · outbound

This paper cites Sgsin: Simultaneous grasp and suction inference network via attention-based affordance learning,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Sgsin: Simultaneous grasp and suction inference network via attention-based affordance learning,

Reference 27

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Observation 5d607acb-af7d-43b9-bbd0-786b15b01a4e · outbound

This paper cites Visual affordance and function understanding: A survey,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Visual affordance and function understanding: A survey,

Reference 28

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Observation 8f6aab5b-e2f4-4e22-a37d-d382676bd092 · outbound

This paper cites Ganhand: Predicting human grasp affordances in multi-object scenes,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Ganhand: Predicting human grasp affordances in multi-object scenes,

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Observation 0115dc47-86ee-4462-99dd-9e76d28bb9a4 · outbound

This paper cites Affordance Labeling and Exploration: A Manifold-Based Approach.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Affordance Labeling and Exploration: A Manifold-Based Approach

Reference 30

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Observation 781ff80f-1b53-4783-856c-a9d2d15a7695 · outbound

This paper cites An affordance detection pipeline for resource-constrained AUTHORet al.: PREP ARA TION OF P APERS FOR IEEE TRANSACTIONS AND JOURNALS 11 devices,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras An affordance detection pipeline for resource-constrained AUTHORet al.: PREP ARA TION OF P APERS FOR IEEE TRANSACTIONS AND JOURNALS 11 devices,

Reference 31

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Observation f7066046-0aca-4ea8-9050-e975cd0260ce · outbound

This paper cites Lightweight neural networks for affordance segmentation: Enhancement of the decoder module,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Lightweight neural networks for affordance segmentation: Enhancement of the decoder module,

Reference 32

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Observation 5c36917a-671e-4d00-bbf2-4ba74ec0895b · outbound

This paper cites 3d affordancenet: A benchmark for visual object affordance understanding,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras 3d affordancenet: A benchmark for visual object affordance understanding,

Reference 33

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This paper cites Are dense labels always necessary for 3d object detection from point cloud?.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Are dense labels always necessary for 3d object detection from point cloud?

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This paper cites Dgpinet- kd: Deep guided and progressive integration network with knowledge distillation for rgb-d indoor scene analysis,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Dgpinet- kd: Deep guided and progressive integration network with knowledge distillation for rgb-d indoor scene analysis,

Reference 35

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Observation 281c8eaf-53eb-403a-850e-34867602de47 · outbound

This paper cites A Comprehensive Survey on Hardware-Aware Neural Architecture Search.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras A Comprehensive Survey on Hardware-Aware Neural Architecture Search

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Observation 4851b7eb-d21f-4d8e-b600-7c88822fe8ef · outbound

This paper cites Automl: A systematic review on automated machine learning with neural architecture search,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Automl: A systematic review on automated machine learning with neural architecture search,

Reference 37

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Observation b4a9ad73-f08a-4124-82a8-5f31664c3cb2 · outbound

This paper cites Mnasnet: Platform-aware neural architecture search for mobile,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Mnasnet: Platform-aware neural architecture search for mobile,

Reference 38

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Observation 6e115c23-24bd-47fb-92e5-c2ddf3c1afae · outbound

This paper cites Fast hardware- aware neural architecture search,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Fast hardware- aware neural architecture search,

Reference 39

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Observation 0a2d43dc-3ee7-4939-912f-5ec41a0295d7 · outbound

This paper cites The deep learning compiler: A comprehensive survey,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras The deep learning compiler: A comprehensive survey,

Reference 40

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Observation c70ea481-2679-46f7-aaa4-58192a0f1ab7 · outbound

This paper cites HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark

Reference 41

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Observation fc24b57f-d6ba-41de-907f-1dc0e45c3c5a · outbound

This paper cites On- device training under 256kb memory,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras On- device training under 256kb memory,

Reference 42

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Observation 39dc84f9-0994-4ae8-9082-bcb0d582680b · outbound

This paper cites Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers,

Reference 43

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Observation 58cdad47-8917-4a78-b1f4-5437a82eacf0 · outbound

This paper cites A Machine Learning-oriented Survey on Tiny Machine Learning.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras A Machine Learning-oriented Survey on Tiny Machine Learning

Reference 44

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Observation 31db7990-175c-4380-bbe7-93667d8ab982 · outbound

This paper cites Single path one-shot neural architecture search with uniform sampling,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Single path one-shot neural architecture search with uniform sampling,

Reference 45

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Observation 34111498-0d41-4ee1-b652-a77eedbb9bc3 · outbound

This paper cites Enhancing neural architecture search with multiple hardware constraints for deep learning model deployment on tiny iot devices,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Enhancing neural architecture search with multiple hardware constraints for deep learning model deployment on tiny iot devices,

Reference 46

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Observation a8f68ee2-662f-4272-8cad-009c9041db42 · outbound

This paper cites Efficient evaluation methods for neural architecture search: A survey,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Efficient evaluation methods for neural architecture search: A survey,

Reference 47

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Observation 8e9b4216-068a-4730-9568-363f4168851b · outbound

This paper cites Zero-shot neural architecture search: Challenges, solutions, and opportunities,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Zero-shot neural architecture search: Challenges, solutions, and opportunities,

Reference 48

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Observation 7a359b29-2932-4a35-8bdd-c5f357d92b09 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 49

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Observation db0c681f-4fc4-4b97-9bb8-ce3622a5b53f · outbound

This paper cites A survey of multi- fingered robotic manipulation: Biological results, structural evolvements and learning methods,.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras A survey of multi- fingered robotic manipulation: Biological results, structural evolvements and learning methods,

Reference 50

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