Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection | Paper Citation Record

Observation 047c2c7e-1376-4cc3-b56a-2f1125d5848a · outbound

This paper cites Object Detection With Deep Learning: A Review,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Object Detection With Deep Learning: A Review,

Reference 1

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Observation 319ac44e-c32f-476b-acec-8427beb412dd · outbound

This paper cites A System for Generalized 3D Multi-Object Search,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection A System for Generalized 3D Multi-Object Search,

Reference 2

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Observation c3a4670a-7316-4bdd-abf1-b940999f5e0b · outbound

This paper cites Generalized Object Search.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Generalized Object Search

Reference 3

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Observation 894b667a-d117-4016-9099-91377144c781 · outbound

This paper cites Iqa: Visual question answering in interactive environ- ments,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Iqa: Visual question answering in interactive environ- ments,

Reference 4

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Observation 7ac775e2-09a9-4243-9ba8-2f8ff1fc20f7 · outbound

This paper cites Openeqa: Embodied question answering in the era of foundation models,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Openeqa: Embodied question answering in the era of foundation models,

Reference 5

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Observation dce0fa35-e3fc-4681-bbc1-35f614fff78e · outbound

This paper cites Behavior- 1k: A human-centered, embodied ai benchmark with 1,000 everyday activities and realistic simulation,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Behavior- 1k: A human-centered, embodied ai benchmark with 1,000 everyday activities and realistic simulation,

Reference 6

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Observation 52f0acc1-2730-4cc8-a3b3-ef0bf68ea67d · outbound

This paper cites Embodied Instruction Following in Unknown Environments,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Embodied Instruction Following in Unknown Environments,

Reference 7

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Observation 267290d1-7302-4416-84f2-17bdc924cfc2 · outbound

This paper cites Embedded solution to detect and classify head level objects using stereo vision for visually impaired people with audio feedback,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Embedded solution to detect and classify head level objects using stereo vision for visually impaired people with audio feedback,

Reference 8

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Observation 253677f4-c457-4de7-9112-e5bb641c5e05 · outbound

This paper cites Education robot object detection with a brain-inspired approach integrating Faster R-CNN, YOLOv3, and semi-supervised learning,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Education robot object detection with a brain-inspired approach integrating Faster R-CNN, YOLOv3, and semi-supervised learning,

Reference 9

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Observation 0c521975-a41a-4025-b503-0ed60d6b6c9a · outbound

This paper cites Towards Optimal Correlational Object Search,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Towards Optimal Correlational Object Search,

Reference 10

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Observation 759ef2cc-d12f-45ef-96e4-2de337ec0692 · outbound

This paper cites You only look once: Unified, real-time object detection,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection You only look once: Unified, real-time object detection,

Reference 11

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Observation 0db5d3cf-0d7b-4759-a24d-7fb290a7a664 · outbound

This paper cites ultralytics/yolov5: v7.0 - YOLOv5 SOTA Realtime Instance Segmentation,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection ultralytics/yolov5: v7.0 - YOLOv5 SOTA Realtime Instance Segmentation,

Reference 12

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Observation f594671b-e6da-4835-b4c1-42ddd0ca5c07 · outbound

This paper cites DETRs Beat YOLOs on Real-time Object Detection.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection DETRs Beat YOLOs on Real-time Object Detection

Reference 13

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Observation 34cc763b-566e-48f6-8928-45e57656549b · outbound

This paper cites Microsoft COCO: Common Objects in Context,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Microsoft COCO: Common Objects in Context,

Reference 14

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Observation bd52aaad-6062-4a5d-a9f4-c6f473c27964 · outbound

This paper cites The Pascal Visual Object Classes (VOC) Challenge,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection The Pascal Visual Object Classes (VOC) Challenge,

Reference 15

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Observation b45d1a46-4ab7-4a75-b9f7-9d16e94e9891 · outbound

This paper cites Detecting Twenty-Thousand Classes Using Image-Level Supervision,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Detecting Twenty-Thousand Classes Using Image-Level Supervision,

Reference 16

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Observation 2b53d1a3-daae-440e-a305-e0b89bf39b0e · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection,

Reference 17

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Observation 06dcc921-b84a-481c-96b1-4945db593ffa · outbound

This paper cites Scaling vision transformers,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Scaling vision transformers,

Reference 18

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Observation 522ff5f3-b996-47a9-97fd-820bfadf16ec · outbound

This paper cites A robust learning approach to domain adaptive object detection,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection A robust learning approach to domain adaptive object detection,

Reference 19

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Observation 4ea18d44-2b46-4843-8456-eb6a58dee19a · outbound

This paper cites Domain adaptive faster r-cnn for object detection in the wild,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Domain adaptive faster r-cnn for object detection in the wild,

Reference 20

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Observation 8ba10e43-d5b4-4d7c-8662-4f26e4d1ac8f · outbound

This paper cites Interactive data collection for deep learning object detectors on humanoid robots,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Interactive data collection for deep learning object detectors on humanoid robots,

Reference 21

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Observation e441963f-4005-48c5-a9e5-e9edb54eb7c1 · outbound

This paper cites Semantic Curiosity for Active Visual Learning: 16th European Conference on Computer Vision, ECCV 2020,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Semantic Curiosity for Active Visual Learning: 16th European Conference on Computer Vision, ECCV 2020,

Reference 22

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Observation 5261235f-efa0-448c-9eb1-64bdb06b9fec · outbound

This paper cites So you think you can scale up autonomous robot data collection?,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection So you think you can scale up autonomous robot data collection?,

Reference 23

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Observation dc9bbe89-0b31-4b82-a4cf-e9aeb6538402 · outbound

This paper cites Embodied Domain Adapta- tion for Object Detection,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Embodied Domain Adapta- tion for Object Detection,

Reference 24

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Observation 833cb24f-c1e6-49c4-98e3-b27ff886486f · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 25

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Observation b4b749ce-0e0e-460c-8bf3-b4139c2e4015 · outbound

This paper cites ProcTHOR: Large-Scale Embodied AI Using Procedural Generation,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection ProcTHOR: Large-Scale Embodied AI Using Procedural Generation,

Reference 26

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Observation 9860f109-944e-4abc-b8be-973315a4e7e8 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 27

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Observation 07446f8b-54d6-4db0-8b61-6565568f578f · outbound

This paper cites Faster R-CNN: Towards Real- Time Object Detection with Region Proposal Networks,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Faster R-CNN: Towards Real- Time Object Detection with Region Proposal Networks,

Reference 28

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Observation d1174303-01a8-453e-874e-5de3b74f0e9e · outbound

This paper cites SSD: Single Shot MultiBox Detector,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection SSD: Single Shot MultiBox Detector,

Reference 29

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Observation 7de0f9c6-54dd-4022-be80-6aa33ec2c62d · outbound

This paper cites YOLOv3: An Incremental Improvement,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection YOLOv3: An Incremental Improvement,

Reference 30

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Observation 84078e3e-3269-482f-a279-b8501a1ae8f3 · outbound

This paper cites End-to-End Object Detection with Transformers,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection End-to-End Object Detection with Transformers,

Reference 31

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Observation f04f17f0-7384-48b6-a242-cae092e5c8b9 · outbound

This paper cites Multi-class active learning for image classification,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Multi-class active learning for image classification,

Reference 32

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Observation 574cc299-c320-480b-9303-2001597076f9 · outbound

This paper cites Query-Based Hard-Image Retrieval for Object Detection at Test Time,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Query-Based Hard-Image Retrieval for Object Detection at Test Time,

Reference 33

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Observation 04997d76-79d9-42cf-ae4c-2466b758849d · outbound

This paper cites Heterogeneous Uncertainty Sampling for Supervised Learning,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Heterogeneous Uncertainty Sampling for Supervised Learning,

Reference 34

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Observation 75cec1ae-4fcf-4488-9f78-354bd95d9ea6 · outbound

This paper cites Learning loss for active learning,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Learning loss for active learning,

Reference 35

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Observation 6ced9902-efc7-4cb7-972d-d9a577f29e55 · outbound

This paper cites Plug and play active learning for object detection,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Plug and play active learning for object detection,

Reference 36

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Observation f96dc868-8b24-4219-8691-97f7fb74e0ef · outbound

This paper cites Consistency-based active learning for object detection,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Consistency-based active learning for object detection,

Reference 37

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Observation 56b5803c-23e4-4883-8ecd-9702f0ea6482 · outbound

This paper cites SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency,

Reference 38

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Observation 886b9b3e-3e72-4ff8-bf56-87c06b3b56a5 · outbound

This paper cites A frontier-based approach for autonomous exploration,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection A frontier-based approach for autonomous exploration,

Reference 39

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Observation eda26ee5-bf34-4f71-b7c6-08da7f4c3282 · outbound

This paper cites an unresolved cited work.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Unresolved cited work

Reference 40

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Observation 4d5270ac-696e-40b6-82c6-d12ec8f885ed · outbound

This paper cites What is intrinsic motivation? A typol- ogy of computational approaches,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection What is intrinsic motivation? A typol- ogy of computational approaches,

Reference 41

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Observation fb642e62-03ea-4c29-ad48-a20dc235dd58 · outbound

This paper cites Curiosity-driven Exploration by Self-supervised Prediction,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Curiosity-driven Exploration by Self-supervised Prediction,

Reference 42

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Observation cdda68d2-04f4-4320-b2ad-0bbc4faf016f · outbound

This paper cites Exploration by Random Network Distillation.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Exploration by Random Network Distillation

Reference 43

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Observation 994899a5-dc02-49c3-97e6-4ba906f42259 · outbound

This paper cites AutoNeRF: Training Implicit Scene Representations with Autonomous Agents,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection AutoNeRF: Training Implicit Scene Representations with Autonomous Agents,

Reference 44

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Observation dc378e47-1490-445b-b7f2-2e6b629d5916 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Proximal Policy Optimization Algorithms

Reference 45

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Observation 9d29f0cf-01fd-4201-aa22-c23753582f43 · outbound

This paper cites Path-aware optimistic optimization for a mobile robot,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Path-aware optimistic optimization for a mobile robot,

Reference 46

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Observation 8bccd5ef-b3a0-46ca-bdda-985b7508c466 · outbound

This paper cites A Tutorial on Bayesian Optimization.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection A Tutorial on Bayesian Optimization

Reference 47

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Observation d263a398-4394-49f5-bb18-464c4b44bd7f · outbound

This paper cites Random Forests,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Random Forests,

Reference 48

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Observation 6669e14f-484d-4f99-917d-8306d9bb39b5 · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Finite-time analysis of the multiarmed bandit problem,

Reference 49

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Observation a3cf6e70-874e-4ca0-b7cc-2662b55093ee · outbound

This paper cites Deep reinforcement learning at the edge of the statis- tical precipice,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Deep reinforcement learning at the edge of the statis- tical precipice,

Reference 50

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Observation e5c2d25e-e0fd-453c-93c1-09ac523d4fa3 · outbound

This paper cites Spot® — Boston Dynamics,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Spot® — Boston Dynamics,

Reference 51

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Observation 6b8308b0-4059-49e3-b8e5-f5e3bfb8936a · outbound

This paper cites Scaling Open- V ocabulary Object Detection,.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection Scaling Open- V ocabulary Object Detection,

Reference 52

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Observation 03526955-fa49-4d5c-ab9b-d8366b5a4b52 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection YOLOv3: An Incremental Improvement

Reference 2018

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Observation 045723ff-14b6-42fe-bcb3-2aa78ea5ea90 · outbound

This paper cites ProcTHOR: Large-Scale Embodied AI Using Procedural Generation.

Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection ProcTHOR: Large-Scale Embodied AI Using Procedural Generation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T21:47:58.735770Z

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