Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection | Paper Citation Record

Observation a1bc9cd8-8e27-40f1-934e-d614aa40af67 · outbound

This paper cites Automatic ship detection in remote sensing images from google earth of complex scenes based on multiscale rotation dense feature pyramid networks,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Automatic ship detection in remote sensing images from google earth of complex scenes based on multiscale rotation dense feature pyramid networks,

Reference 1

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Observation 4bf0f817-a94f-4ae9-9a78-58f2195e921a · outbound

This paper cites Dota: A large- scale dataset for object detection in aerial images,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Dota: A large- scale dataset for object detection in aerial images,

Reference 2

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Observation cac7f265-bcb5-454f-884c-84f34a2879c9 · outbound

This paper cites Remote sensing object detection in the deep learning era—a review,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Remote sensing object detection in the deep learning era—a review,

Reference 3

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Observation 130e0dd4-cae2-4b57-8d9e-ee005ee78e6c · outbound

This paper cites A high res- olution optical satellite image dataset for ship recogni- tion and some new baselines,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection A high res- olution optical satellite image dataset for ship recogni- tion and some new baselines,

Reference 4

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Observation c731a4e1-02f5-432b-9eaf-9c08adf21634 · outbound

This paper cites Diffdet4sar: Diffusion-based aircraft target detection network for sar images,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Diffdet4sar: Diffusion-based aircraft target detection network for sar images,

Reference 5

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Observation 50c7a013-ffb3-4376-b25b-8f9336e0e6f3 · outbound

This paper cites Deep learning-based binocular image analysis for in situ measurement of particle length distribution during crystallization process,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Deep learning-based binocular image analysis for in situ measurement of particle length distribution during crystallization process,

Reference 6

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Observation 5d106c11-a84f-48de-b38f-ed6e7759b69b · outbound

This paper cites Rotatedstom- atanet: a deep rotated object detection network for direc- tional stomata phenotype analysis,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Rotatedstom- atanet: a deep rotated object detection network for direc- tional stomata phenotype analysis,

Reference 7

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Observation 71a61f25-f325-44b1-a278-360790ded6bc · outbound

This paper cites An oriented object detector towards diatoms,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection An oriented object detector towards diatoms,

Reference 8

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Observation ebe7810c-446f-484a-84d2-89a54ebb739b · outbound

This paper cites Deep multi-modal object detection and semantic seg- mentation for autonomous driving: Datasets, meth- ods, and challenges,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Deep multi-modal object detection and semantic seg- mentation for autonomous driving: Datasets, meth- ods, and challenges,

Reference 9

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Observation 6b255227-5515-462c-9ed2-6b8a385002dd · outbound

This paper cites Grasp pose detection from a single rgb image,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Grasp pose detection from a single rgb image,

Reference 10

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Observation 34991798-43a0-4a9f-aa42-82b6ec23173b · outbound

This paper cites Exploring rotated object detection models for antipodal robotic grasping,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Exploring rotated object detection models for antipodal robotic grasping,

Reference 11

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Observation 43c82cf1-0e0e-4d01-866f-d5c6064eecee · outbound

This paper cites Detecting lesion bounding ellipses with gaussian proposal networks,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Detecting lesion bounding ellipses with gaussian proposal networks,

Reference 12

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Observation 270aa8cc-b893-440c-b62c-0dfdea1c6c7c · outbound

This paper cites Arbitrary-oriented scene text detection via rotation proposals,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Arbitrary-oriented scene text detection via rotation proposals,

Reference 13

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Observation 96f81fc0-8c58-4445-81a9-f52bf6c0932f · outbound

This paper cites Rotation-sensitive regression for oriented scene text detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Rotation-sensitive regression for oriented scene text detection,

Reference 14

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Observation bbd9ff0e-965e-4366-acd1-154b456a5f8b · outbound

This paper cites East: An efficient and accurate scene text detector,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection East: An efficient and accurate scene text detector,

Reference 15

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Observation 7ddb081f-eb25-4758-b4b5-ec5f53da7023 · outbound

This paper cites Dynamic refinement network for oriented and densely packed object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Dynamic refinement network for oriented and densely packed object detection,

Reference 16

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Observation 3b61a93f-7414-4776-b0d1-5468c1dbed64 · outbound

This paper cites Pcbssd: Self-supervised symmetry-aware detector for pcb displacement and ori- entation inspection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Pcbssd: Self-supervised symmetry-aware detector for pcb displacement and ori- entation inspection,

Reference 17

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Observation 2ea8a0da-5446-419f-9f71-f5d4a7dbb651 · outbound

This paper cites Wsrd-net: A convolutional neural network-based arbitrary-oriented wheat stripe rust detection method,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Wsrd-net: A convolutional neural network-based arbitrary-oriented wheat stripe rust detection method,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T21:31:29.649622Z

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Observation d402ffd6-fa3f-480c-be46-0da3c774c1d4 · outbound

This paper cites A deep learning method for oriented and small wheat spike detection (oswsdet) in uav images,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection A deep learning method for oriented and small wheat spike detection (oswsdet) in uav images,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T21:31:29.654341Z

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Observation c3d24ecd-1fc8-417c-b4d4-11e4c85b0943 · outbound

This paper cites Precise maize detasseling base on oriented object detection for tas- sels,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Precise maize detasseling base on oriented object detection for tas- sels,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T21:31:29.659397Z

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Observation 82230940-b842-47e7-a94b-4c20c2c54af0 · outbound

This paper cites Real- time rotation-invariant face detection with progressive calibration networks,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Real- time rotation-invariant face detection with progressive calibration networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T21:31:29.664149Z

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Observation b1a08ad0-a11c-4954-8597-161a24b45889 · outbound

This paper cites Detecting insulator strings as linked chain structure in smart grid inspection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Detecting insulator strings as linked chain structure in smart grid inspection,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T21:31:29.668892Z

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Observation 685b554c-ed3b-44cf-944b-ecaa77de5bf7 · outbound

This paper cites Automatic overheating defect diagnosis based on rotated detector for insulator in infrared image,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Automatic overheating defect diagnosis based on rotated detector for insulator in infrared image,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.545964Z

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Observation 5e3b4bbc-538b-40e9-88fc-0b02c554a047 · outbound

This paper cites YUDO: YOLO for Uniform Directed Object Detection.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection YUDO: YOLO for Uniform Directed Object Detection

Reference 24

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Observation 42adf5de-d935-4faf-8a29-cfb267d6da4f · outbound

This paper cites Aitars-net: A novel network for detecting arbitrary-oriented transverse aeolian ridges from tianwen-1 hiric images,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Aitars-net: A novel network for detecting arbitrary-oriented transverse aeolian ridges from tianwen-1 hiric images,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.527292Z

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Observation 73b19391-46b9-4579-853c-5a418e14f2cc · outbound

This paper cites Deep learning for generic object detection: A survey,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Deep learning for generic object detection: A survey,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.509331Z

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Observation 82d31d7c-5a3c-4f25-ae2b-ae03df490e68 · outbound

This paper cites Star: A first-ever dataset and a large- scale benchmark for scene graph generation in large- size satellite imagery,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Star: A first-ever dataset and a large- scale benchmark for scene graph generation in large- size satellite imagery,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.490918Z

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Observation 013eadb3-9be6-4db5-a518-352bffbf4792 · outbound

This paper cites On the arbitrary-oriented object detection: Classification based approaches revisited,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection On the arbitrary-oriented object detection: Classification based approaches revisited,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.472882Z

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Observation 8bf64a1a-8b69-4f70-8ce4-89a4ba390426 · outbound

This paper cites Detecting rotated objects as gaussian distributions and its 3-d generalization,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Detecting rotated objects as gaussian distributions and its 3-d generalization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.454988Z

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Observation c7935f5a-e724-4c51-8536-aa03416be6e1 · outbound

This paper cites Remote sensing object detection meets deep learning: A metareview of challenges and ad- vances,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Remote sensing object detection meets deep learning: A metareview of challenges and ad- vances,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.437537Z

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Observation f6847973-08d8-42e5-885f-34a3e6b16823 · outbound

This paper cites Ef- ficient inductive vision transformer for oriented object detection in remote sensing imagery,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Ef- ficient inductive vision transformer for oriented object detection in remote sensing imagery,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.420196Z

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Observation 46de1d9e-ad9b-4a28-9b31-793b09c2769e · outbound

This paper cites A compre- hensive survey of oriented object detection in remote sensing images,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection A compre- hensive survey of oriented object detection in remote sensing images,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.402732Z

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Observation 1a7d9a70-4f2c-4edb-8605-6ec82deef7d0 · outbound

This paper cites Theoretically achieving continuous representation of oriented bounding boxes,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Theoretically achieving continuous representation of oriented bounding boxes,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.385176Z

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Observation 96df1690-0422-4ee0-9f22-26ebc488c876 · outbound

This paper cites Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.368538Z

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Observation e631cbe9-7824-4487-a921-00a2fcc4be98 · outbound

This paper cites Learn- ing roi transformer for oriented object detection in aerial images,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Learn- ing roi transformer for oriented object detection in aerial images,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.350945Z

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Observation 6a5821be-8713-4a1a-b093-fc10efc9bf9c · outbound

This paper cites Oriented r-cnn for object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Oriented r-cnn for object detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.335397Z

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Observation ccebd4ec-ddcc-4a3f-a710-7753efa74ec3 · outbound

This paper cites Redet: A rotation-equivariant detector for aerial object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Redet: A rotation-equivariant detector for aerial object detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.319572Z

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Observation 34894bac-ba58-483d-a6fd-1328242a0b09 · outbound

This paper cites What’s the point: Semantic segmentation with point supervision,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection What’s the point: Semantic segmentation with point supervision,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.303488Z

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Observation 84ea20e4-2d02-4199-ad6c-59f4ae89ce86 · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.286741Z

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Observation 6aea8347-a3e4-4926-8394-98b73e9aa780 · outbound

This paper cites Sardet-100k: Towards open-source benchmark and toolkit for large-scale sar object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Sardet-100k: Towards open-source benchmark and toolkit for large-scale sar object detection,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.270574Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d1c005a0-4131-4ecc-bc02-278e4138aa3a · outbound

This paper cites Anchor-free oriented proposal generator for object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Anchor-free oriented proposal generator for object detection,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.254019Z

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Observation 635e8136-42b4-4029-b164-404572c6a996 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Fcos: Fully convolutional one-stage object detection,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.235593Z

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Observation 6e9c5805-a638-4aa2-9ca9-dfd2b239d2e3 · outbound

This paper cites Segment anything,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Segment anything,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.218291Z

Source-reported events for the cited work

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Observation e17300f0-49f6-41f5-be1d-e811ac0c2008 · outbound

This paper cites 2017 iccv chal- lenge: Detecting symmetry in the wild,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection 2017 iccv chal- lenge: Detecting symmetry in the wild,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.202348Z

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Observation ce7283a9-635c-43a0-aad0-3ed55f6c01a3 · outbound

This paper cites H2rbox-v2: Incorporating symmetry for boosting hor- izontal box supervised oriented object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection H2rbox-v2: Incorporating symmetry for boosting hor- izontal box supervised oriented object detection,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.185570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e29db55-45c6-472e-ac8c-9d012db06ce3 · outbound

This paper cites Point2rbox: Combine knowledge from synthetic vi- sual patterns for end-to-end oriented object detection with single point supervision,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Point2rbox: Combine knowledge from synthetic vi- sual patterns for end-to-end oriented object detection with single point supervision,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.168333Z

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Observation 443584f6-7f4d-4342-aa1a-29f1529e4a1f · outbound

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

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Pytorch: An imperative style, high- performance deep learning library,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.152029Z

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Observation 3ace95a5-0ab3-4380-bd6e-38f7332ceec5 · outbound

This paper cites Jittor: a novel deep learning framework with meta-operators and unified graph execution,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Jittor: a novel deep learning framework with meta-operators and unified graph execution,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.133636Z

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Observation 0e97f1f9-2c23-4ff7-ae86-8285905f1ae6 · outbound

This paper cites Object detection with deep learning: A review,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Object detection with deep learning: A review,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.116661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 23492953-ad79-402a-8cbe-f371600261c3 · outbound

This paper cites Zone evaluation: Revealing spatial bias in object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Zone evaluation: Revealing spatial bias in object detection,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.099773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f052866-1608-4c3a-8cb6-a4932ed1a31d · outbound

This paper cites Focal loss for dense object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Focal loss for dense object detection,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.082186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d6a92318-0338-435b-98ff-9202177b3a9b · outbound

This paper cites R3det: Refined single-stage detector with feature refinement for rotating object,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection R3det: Refined single-stage detector with feature refinement for rotating object,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.061886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e0b6d089-41d3-43a5-a25a-171c8dd6cf94 · outbound

This paper cites Align deep fea- tures for oriented object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Align deep fea- tures for oriented object detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.043137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15d6ed4f-aacd-4e5e-bc1a-41500681b5ef · outbound

This paper cites Scrdet: Towards more robust detection for small, cluttered and rotated objects,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Scrdet: Towards more robust detection for small, cluttered and rotated objects,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.024471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5934830d-7f8a-4465-848d-5eab3ebd75ee · outbound

This paper cites Learning modulated loss for rotated object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Learning modulated loss for rotated object detection,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:31.006829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5be66d27-f883-48b7-abcc-1b97d8174b3d · outbound

This paper cites Arbitrary-oriented object detection with circular smooth label,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Arbitrary-oriented object detection with circular smooth label,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.988832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f62d5e92-8fcf-4754-9ecc-36c98e8f71b0 · outbound

This paper cites Dense label encoding for boundary discontinuity free rotation detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Dense label encoding for boundary discontinuity free rotation detection,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.972019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 257a24a3-f572-4c05-9dab-52521cb2d1f5 · outbound

This paper cites On boundary discontinuity in angle regression based arbitrary oriented object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection On boundary discontinuity in angle regression based arbitrary oriented object detection,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.955644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b5cd2a21-f5f4-4a94-b91d-282595457770 · outbound

This paper cites Rethinking rotated object detection with gaus- sian wasserstein distance loss,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Rethinking rotated object detection with gaus- sian wasserstein distance loss,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.937259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 500954b0-90ad-43a6-a6af-03e8d97cf541 · outbound

This paper cites Learning high-precision bounding box for rotated object detection via kullback-leibler diver- gence,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Learning high-precision bounding box for rotated object detection via kullback-leibler diver- gence,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.919980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a7d3535b-91b7-42ee-a7dd-e729cf6e3ec2 · outbound

This paper cites The kfiou loss for rotated object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection The kfiou loss for rotated object detection,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.902323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 067ac8e9-756f-4367-bf64-4d3513ec4641 · outbound

This paper cites Rep- points: Point set representation for object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Rep- points: Point set representation for object detection,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.883141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6916794c-4655-4d59-a577-a8e8fc009a1e · outbound

This paper cites G-rep: Gaussian representation for arbitrary-oriented object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection G-rep: Gaussian representation for arbitrary-oriented object detection,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.862361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d32b95d9-a0e4-4b3b-b7fb-0906d4d6326b · outbound

This paper cites Oriented reppoints for aerial object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Oriented reppoints for aerial object detection,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.845542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e950283a-cfd5-419c-886b-2273e1790e86 · outbound

This paper cites A Simple Aerial Detection Baseline of Multimodal Language Models.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection A Simple Aerial Detection Baseline of Multimodal Language Models

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:31:30.216575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7168126-32c2-4c04-971f-c78afe02a7ff · outbound

This paper cites Leveraging orientation for weakly supervised object detection with application to firearm localiza- tion,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Leveraging orientation for weakly supervised object detection with application to firearm localiza- tion,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.829619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6954aa76-4a19-4a03-b06e-7166499e5532 · outbound

This paper cites Oriented object detection for remote sensing images based on weakly supervised learning,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Oriented object detection for remote sensing images based on weakly supervised learning,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.813765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9bea18d4-5b73-4941-b789-d397f80b3511 · outbound

This paper cites Knowledge combination to learn rotated detection without rotated annotation,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Knowledge combination to learn rotated detection without rotated annotation,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.797800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7aff5b69-b44b-4dfd-8eb2-87ba05950bcd · outbound

This paper cites Simple does it: Weakly supervised instance and semantic segmentation,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Simple does it: Weakly supervised instance and semantic segmentation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.779936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ae0355c9-2c72-4674-b107-e4b15352b2fc · outbound

This paper cites Weakly supervised instance segmentation using the bounding box tightness prior,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Weakly supervised instance segmentation using the bounding box tightness prior,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.762039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9cc4e0f0-b495-4edc-a13a-9062573ebbfa · outbound

This paper cites Mask r-cnn,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Mask r-cnn,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.744009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd440919-a9f0-457c-8a15-fa859e3f498d · outbound

This paper cites Box- inst: High-performance instance segmentation with box annotations,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Box- inst: High-performance instance segmentation with box annotations,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.727448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7c6d417b-2f49-4398-ac56-b8caf6fc6092 · outbound

This paper cites Conditional convolu- tions for instance segmentation,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Conditional convolu- tions for instance segmentation,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.710961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 91f19d01-ee2a-45e3-8238-bca4c00a54ba · outbound

This paper cites Box-supervised instance segmentation with level set evolution,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Box-supervised instance segmentation with level set evolution,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.694155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f38a86d-f056-49a2-938c-db59f300665e · outbound

This paper cites H2rbox: Horizontal box annotation is all you need for oriented object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection H2rbox: Horizontal box annotation is all you need for oriented object detection,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.677643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ffdb3d93-274d-4e57-acfd-fd457954e281 · outbound

This paper cites Explicit and implicit box equivariance learning for weakly-supervised rotated object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Explicit and implicit box equivariance learning for weakly-supervised rotated object detection,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.660265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ededa9b-1653-4fc9-85aa-a1527a4ef968 · outbound

This paper cites Afws: Angle-free weakly-supervised rotating object detection for remote sensing images,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Afws: Angle-free weakly-supervised rotating object detection for remote sensing images,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.644060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 103c05ca-0b32-41a5-9dd0-3b799f01671e · outbound

This paper cites Point-to-box network for accurate object detection via single point supervision,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Point-to-box network for accurate object detection via single point supervision,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.628283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c14297f-298f-444f-9421-4b8a68a97563 · outbound

This paper cites Weakly-supervised salient object de- tection using point supervision,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Weakly-supervised salient object de- tection using point supervision,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.612199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e2d21a8c-4b47-465d-bfcf-95178d12b954 · outbound

This paper cites Mapping degeneration meets label evolution: Learning infrared small target detection with single point supervision,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Mapping degeneration meets label evolution: Learning infrared small target detection with single point supervision,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.595969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5cceab38-ffe5-457d-b481-01490f6fc655 · outbound

This paper cites Points as queries: Weakly semi-supervised object de- tection by points,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Points as queries: Weakly semi-supervised object de- tection by points,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.577712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9e9ac443-88fa-484b-bba1-65b79554953a · outbound

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

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection End-to-end object detection with transformers,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.558732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 942573dd-3177-40e1-b705-fa1d71a1d467 · outbound

This paper cites Group r-cnn for weakly semi-supervised object detection with points,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Group r-cnn for weakly semi-supervised object detection with points,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.538747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b6e0a089-257d-4593-80d0-0fed8e7011dc · outbound

This paper cites Object localization under single coarse point supervision,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Object localization under single coarse point supervision,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.520202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd454eb3-b2ac-4ee1-b7f0-d79012922369 · outbound

This paper cites Point2mask: Point-supervised panoptic seg- mentation via optimal transport,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Point2mask: Point-supervised panoptic seg- mentation via optimal transport,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.502184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b77ff118-ff6c-4225-a62d-b251dbe3640c · outbound

This paper cites Pointobb: Learning oriented object detection via single point supervision,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Pointobb: Learning oriented object detection via single point supervision,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.483412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e0cb3a1a-dcd1-461d-8818-7eb5ac12d39e · outbound

This paper cites P2RBox: Point Prompt Oriented Object Detection with SAM.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection P2RBox: Point Prompt Oriented Object Detection with SAM

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:31:30.192740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0859dc6c-72fc-4019-8695-c1ef79696084 · outbound

This paper cites Pointobb- v2: Towards simpler, faster, and stronger single point supervised oriented object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Pointobb- v2: Towards simpler, faster, and stronger single point supervised oriented object detection,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.463860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 433f4714-4452-43e3-be58-9345d01ab2fc · outbound

This paper cites Deep residual learning for image recognition,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Deep residual learning for image recognition,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.445230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 27326f1f-8db4-438b-9d60-e843d0ccec62 · outbound

This paper cites Feature pyramid networks for object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Feature pyramid networks for object detection,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.428650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 99e6a7ef-0988-416d-87d7-253e4abe86bd · outbound

This paper cites Phase-shifting coder: Predicting accurate orientation in oriented object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Phase-shifting coder: Predicting accurate orientation in oriented object detection,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.412095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d02e0517-1ae4-48ef-bf92-f1cdcfb5ad12 · outbound

This paper cites You only look one-level feature,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection You only look one-level feature,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.395504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c0b23bd-d004-4838-b4c6-fef6aecf7c29 · outbound

This paper cites Iou loss for 2d/3d object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Iou loss for 2d/3d object detection,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.378268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d643b338-4518-4ef6-a459-bfb549d95ef2 · outbound

This paper cites Rotation-robust intersection over union for 3d object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Rotation-robust intersection over union for 3d object detection,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.362184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e91b396-a746-4569-bec4-a9e3760a9dca · outbound

This paper cites Mmrotate: A rotated object detection bench- mark using pytorch,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Mmrotate: A rotated object detection bench- mark using pytorch,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.344868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 19c1e49f-0dab-4af4-b5a0-e8e7a958a56c · outbound

This paper cites Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Fair1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.327421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53838e53-9338-4641-8a3b-f3e00510d764 · outbound

This paper cites Decoupled weight decay regularization,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Decoupled weight decay regularization,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.310760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a244ea7-81f2-4dc0-b583-83335d14ba36 · outbound

This paper cites Unitbox: An advanced object detection network,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Unitbox: An advanced object detection network,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.293587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 347641be-88ce-4ae9-85af-d651590cc523 · outbound

This paper cites Shape-adaptive se- lection and measurement for oriented object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Shape-adaptive se- lection and measurement for oriented object detection,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.276425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f08587d8-a27b-4adc-9bcd-15b57d5a35dc · outbound

This paper cites Beyond bounding-box: Convex-hull feature adaptation for oriented and densely packed object detection,.

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection Beyond bounding-box: Convex-hull feature adaptation for oriented and densely packed object detection,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:31:30.258678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Outbound references

Pith citing papers