Imbalance Problems in Object Detection: A Review | Paper Citation Record

Observation 38b2d716-3d91-4c11-94b0-057720165e36 · outbound

This paper cites A closer look at faster r-cnn for vehicle detection,.

Imbalance Problems in Object Detection: A Review A closer look at faster r-cnn for vehicle detection,

Reference 1

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This paper cites Fore- ground gating and background reﬁning network for surveillance object detection,.

Imbalance Problems in Object Detection: A Review Fore- ground gating and background reﬁning network for surveillance object detection,

Reference 2

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This paper cites Are we ready for au- tonomous driving? the kitti vision benchmark suite,.

Imbalance Problems in Object Detection: A Review Are we ready for au- tonomous driving? the kitti vision benchmark suite,

Reference 3

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This paper cites Hybridnet: A fast vehicle detection system for au- tonomous driving,.

Imbalance Problems in Object Detection: A Review Hybridnet: A fast vehicle detection system for au- tonomous driving,

Reference 4

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This paper cites Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.

Imbalance Problems in Object Detection: A Review Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

Reference 5

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This paper cites Liver lesion detection from weakly-labeled multi-phase ct volumes with a grouped single shot multibox detector,.

Imbalance Problems in Object Detection: A Review Liver lesion detection from weakly-labeled multi-phase ct volumes with a grouped single shot multibox detector,

Reference 6

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This paper cites Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth,.

Imbalance Problems in Object Detection: A Review Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth,

Reference 7

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This paper cites Ssd- 6d: Making rgb-based 3d detection and 6d pose estimation great again,.

Imbalance Problems in Object Detection: A Review Ssd- 6d: Making rgb-based 3d detection and 6d pose estimation great again,

Reference 8

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Observation c997a4b6-4f7c-4cc8-a9ce-87a96ff21499 · outbound

This paper cites Real-Time Seamless Single Shot 6D Object Pose Prediction,.

Imbalance Problems in Object Detection: A Review Real-Time Seamless Single Shot 6D Object Pose Prediction,

Reference 9

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This paper cites Bop: Benchmark for 6d object pose estimation,.

Imbalance Problems in Object Detection: A Review Bop: Benchmark for 6d object pose estimation,

Reference 10

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Observation f6c8ab50-b06a-4aca-8e81-3dac4948ebdc · outbound

This paper cites Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A Review.

Imbalance Problems in Object Detection: A Review Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A Review

Reference 11

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This paper cites Cosmo: Contextualized scene modeling with boltzmann machines,.

Imbalance Problems in Object Detection: A Review Cosmo: Contextualized scene modeling with boltzmann machines,

Reference 12

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This paper cites Object detection with discriminatively trained part- based models,.

Imbalance Problems in Object Detection: A Review Object detection with discriminatively trained part- based models,

Reference 13

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This paper cites Imagenet classiﬁ- cation with deep convolutional neural networks,.

Imbalance Problems in Object Detection: A Review Imagenet classiﬁ- cation with deep convolutional neural networks,

Reference 14

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This paper cites YOLO9000: Better, faster, stronger,.

Imbalance Problems in Object Detection: A Review YOLO9000: Better, faster, stronger,

Reference 15

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Observation 6c2c6c58-86f9-4678-bd32-2a15a8c3d723 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmen- tation,.

Imbalance Problems in Object Detection: A Review Rich feature hierarchies for accurate object detection and semantic segmen- tation,

Reference 16

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This paper cites Fast R-CNN,.

Imbalance Problems in Object Detection: A Review Fast R-CNN,

Reference 17

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This paper cites R-FCN: Object detection via region-based fully convolutional networks,.

Imbalance Problems in Object Detection: A Review R-FCN: Object detection via region-based fully convolutional networks,

Reference 18

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This paper cites SSD: single shot multibox detector,.

Imbalance Problems in Object Detection: A Review SSD: single shot multibox detector,

Reference 19

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

Imbalance Problems in Object Detection: A Review You only look once: Uniﬁed, real-time object detection,

Reference 20

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This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks,.

Imbalance Problems in Object Detection: A Review Faster R-CNN: Towards real-time object detection with region proposal networks,

Reference 21

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Observation 9f83ff57-fafa-447f-8d55-4d5114b33218 · outbound

This paper cites Focal loss for dense object detection,.

Imbalance Problems in Object Detection: A Review Focal loss for dense object detection,

Reference 22

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This paper cites Cornernet: Detecting objects as paired keypoints,.

Imbalance Problems in Object Detection: A Review Cornernet: Detecting objects as paired keypoints,

Reference 23

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This paper cites Training region- based object detectors with online hard example mining,.

Imbalance Problems in Object Detection: A Review Training region- based object detectors with online hard example mining,

Reference 24

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This paper cites Factors in ﬁnetun- ing deep model for object detection with long-tail distribution,.

Imbalance Problems in Object Detection: A Review Factors in ﬁnetun- ing deep model for object detection with long-tail distribution,

Reference 25

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This paper cites Feature pyramid networks for object detection,.

Imbalance Problems in Object Detection: A Review Feature pyramid networks for object detection,

Reference 26

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This paper cites An analysis of scale invariance in object detection - snip,.

Imbalance Problems in Object Detection: A Review An analysis of scale invariance in object detection - snip,

Reference 27

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This paper cites Sniper: Efﬁcient multi-scale training,.

Imbalance Problems in Object Detection: A Review Sniper: Efﬁcient multi-scale training,

Reference 28

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This paper cites Libra R-CNN: Towards balanced learning for object detection,.

Imbalance Problems in Object Detection: A Review Libra R-CNN: Towards balanced learning for object detection,

Reference 29

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This paper cites Prime Sample Attention in Object Detection.

Imbalance Problems in Object Detection: A Review Prime Sample Attention in Object Detection

Reference 30

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Observation 6bdbb176-e53f-4a4b-a784-be6c699d12f3 · outbound

This paper cites Deep Learning for Generic Object Detection: A Survey.

Imbalance Problems in Object Detection: A Review Deep Learning for Generic Object Detection: A Survey

Reference 31

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This paper cites Object Detection in 20 Years: A Survey.

Imbalance Problems in Object Detection: A Review Object Detection in 20 Years: A Survey

Reference 32

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This paper cites Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks.

Imbalance Problems in Object Detection: A Review Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks

Reference 33

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This paper cites On-road vehicle detection: a review,.

Imbalance Problems in Object Detection: A Review On-road vehicle detection: a review,

Reference 34

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This paper cites Pedestrian detec- tion: An evaluation of the state of the art,.

Imbalance Problems in Object Detection: A Review Pedestrian detec- tion: An evaluation of the state of the art,

Reference 35

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This paper cites A survey on face detection in the wild,.

Imbalance Problems in Object Detection: A Review A survey on face detection in the wild,

Reference 36

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This paper cites Text detection and recognition in imagery: A survey,.

Imbalance Problems in Object Detection: A Review Text detection and recognition in imagery: A survey,

Reference 37

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This paper cites Text detection, tracking and recognition in video: A comprehensive survey,.

Imbalance Problems in Object Detection: A Review Text detection, tracking and recognition in video: A comprehensive survey,

Reference 38

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This paper cites A survey on deep learning in medical image analysis,.

Imbalance Problems in Object Detection: A Review A survey on deep learning in medical image analysis,

Reference 39

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This paper cites Learning from imbalanced data: open challenges and future directions,.

Imbalance Problems in Object Detection: A Review Learning from imbalanced data: open challenges and future directions,

Reference 40

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This paper cites A survey on addressing high-class imbalance in big data,.

Imbalance Problems in Object Detection: A Review A survey on addressing high-class imbalance in big data,

Reference 41

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This paper cites Fernández, S.

Imbalance Problems in Object Detection: A Review Fernández, S

Reference 42

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This paper cites Survey on deep learning with class imbalance,.

Imbalance Problems in Object Detection: A Review Survey on deep learning with class imbalance,

Reference 43

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This paper cites Selective search for object recognition,.

Imbalance Problems in Object Detection: A Review Selective search for object recognition,

Reference 44

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This paper cites Edge boxes: Locating object propos- als from edges,.

Imbalance Problems in Object Detection: A Review Edge boxes: Locating object propos- als from edges,

Reference 45

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This paper cites DSSD : Deconvolutional Single Shot Detector.

Imbalance Problems in Object Detection: A Review DSSD : Deconvolutional Single Shot Detector

Reference 46

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This paper cites YOLOv3: An Incremental Improvement.

Imbalance Problems in Object Detection: A Review YOLOv3: An Incremental Improvement

Reference 47

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This paper cites Centernet: Keypoint triplets for object detection,.

Imbalance Problems in Object Detection: A Review Centernet: Keypoint triplets for object detection,

Reference 48

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This paper cites Bottom-up object detection by grouping extreme and center points,.

Imbalance Problems in Object Detection: A Review Bottom-up object detection by grouping extreme and center points,

Reference 49

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This paper cites Associative embedding: End- to-end learning for joint detection and grouping,.

Imbalance Problems in Object Detection: A Review Associative embedding: End- to-end learning for joint detection and grouping,

Reference 50

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This paper cites The pascal visual object classes (voc) challenge,.

Imbalance Problems in Object Detection: A Review The pascal visual object classes (voc) challenge,

Reference 51

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This paper cites Ima- geNet: A Large-Scale Hierarchical Image Database,.

Imbalance Problems in Object Detection: A Review Ima- geNet: A Large-Scale Hierarchical Image Database,

Reference 52

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This paper cites Bounding box regression with uncertainty for accurate object detection,.

Imbalance Problems in Object Detection: A Review Bounding box regression with uncertainty for accurate object detection,

Reference 53

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This paper cites Is Heuristic Sampling Necessary in Training Deep Object Detectors?.

Imbalance Problems in Object Detection: A Review Is Heuristic Sampling Necessary in Training Deep Object Detectors?

Reference 54

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This paper cites Human face detection in visual scenes,.

Imbalance Problems in Object Detection: A Review Human face detection in visual scenes,

Reference 55

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This paper cites Ron: Reverse connection with objectness prior networks for object detection,.

Imbalance Problems in Object Detection: A Review Ron: Reverse connection with objectness prior networks for object detection,

Reference 56

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Observation 72d82095-3484-4da0-8625-5b8daa8ae920 · outbound

This paper cites Single-shot reﬁnement neural network for object detection,.

Imbalance Problems in Object Detection: A Review Single-shot reﬁnement neural network for object detection,

Reference 57

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This paper cites Enriched feature guided reﬁnement network for object detection,.

Imbalance Problems in Object Detection: A Review Enriched feature guided reﬁnement network for object detection,

Reference 58

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This paper cites Gradient harmonized single-stage detector,.

Imbalance Problems in Object Detection: A Review Gradient harmonized single-stage detector,

Reference 59

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This paper cites Residual Objectness for Imbalance Reduction.

Imbalance Problems in Object Detection: A Review Residual Objectness for Imbalance Reduction

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Observation f4676cae-d3b3-4069-a7df-5a7d501137f0 · outbound

This paper cites Towards accurate one-stage object detection with ap-loss,.

Imbalance Problems in Object Detection: A Review Towards accurate one-stage object detection with ap-loss,

Reference 61

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This paper cites DR Loss: Improving Object Detection by Distributional Ranking.

Imbalance Problems in Object Detection: A Review DR Loss: Improving Object Detection by Distributional Ranking

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 328164b4-fdc1-4fbe-9225-147bd21d635b · outbound

This paper cites A-fast-rcnn: Hard pos- itive generation via adversary for object detection,.

Imbalance Problems in Object Detection: A Review A-fast-rcnn: Hard pos- itive generation via adversary for object detection,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.249845Z

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Observation feb68a83-ba65-4014-8cd9-d5ecb1835b78 · outbound

This paper cites Learning to generate synthetic data via compositing,.

Imbalance Problems in Object Detection: A Review Learning to generate synthetic data via compositing,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.253822Z

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Observation bfa61a81-4c41-4f42-95ab-eb12ecec12ce · outbound

This paper cites Data Augmentation for Object Detection via Progressive and Selective Instance-Switching.

Imbalance Problems in Object Detection: A Review Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-14T06:04:41.839049Z

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Observation 0dcad1fb-00d5-453b-961b-97a716112340 · outbound

This paper cites Generating posi- tive bounding boxes for balanced training of object detectors,.

Imbalance Problems in Object Detection: A Review Generating posi- tive bounding boxes for balanced training of object detectors,

Reference 66

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Observation b8c34c17-0f94-403f-a3a2-36ea68f34793 · outbound

This paper cites Region proposal by guided anchoring,.

Imbalance Problems in Object Detection: A Review Region proposal by guided anchoring,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.265125Z

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Observation da180bdd-e594-4958-b3f0-bd5ccdf54b43 · outbound

This paper cites Freeanchor: Learning to match anchors for visual object detection,.

Imbalance Problems in Object Detection: A Review Freeanchor: Learning to match anchors for visual object detection,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.268521Z

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Observation 30aca8c3-ed75-4098-86d2-e9504276750e · outbound

This paper cites Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classiﬁers,.

Imbalance Problems in Object Detection: A Review Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classiﬁers,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.272063Z

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Observation 05cc2cae-7b4c-44e1-941a-eee60ed99feb · outbound

This paper cites A uniﬁed multi- scale deep convolutional neural network for fast object detec- tion,.

Imbalance Problems in Object Detection: A Review A uniﬁed multi- scale deep convolutional neural network for fast object detec- tion,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.275967Z

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Observation 79ec6624-9738-4345-b495-00f137f6c892 · outbound

This paper cites Scale-aware fast r-cnn for pedestrian detection,.

Imbalance Problems in Object Detection: A Review Scale-aware fast r-cnn for pedestrian detection,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.281339Z

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Observation fa1f5613-502c-4850-b271-4e755da8047f · outbound

This paper cites Efﬁcient featurized image pyramid network for single shot detector,.

Imbalance Problems in Object Detection: A Review Efﬁcient featurized image pyramid network for single shot detector,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.287382Z

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Observation f4073d65-c839-4927-a440-44b435f864f0 · outbound

This paper cites Better to follow, follow to be better: Towards precise supervision of feature super- resolution for small object detection,.

Imbalance Problems in Object Detection: A Review Better to follow, follow to be better: Towards precise supervision of feature super- resolution for small object detection,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.290506Z

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Observation 0a91cb54-bb59-4abb-9874-27b6f18678ed · outbound

This paper cites Scale-aware trident net- works for object detection,.

Imbalance Problems in Object Detection: A Review Scale-aware trident net- works for object detection,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.293330Z

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Observation b25d28b3-19b0-47ca-83e4-c6a5a02007b3 · outbound

This paper cites Path aggregation network for instance segmentation,.

Imbalance Problems in Object Detection: A Review Path aggregation network for instance segmentation,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.296387Z

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Observation 79dbb9ad-1f12-45be-9016-f047a286a5dc · outbound

This paper cites Scale-transferrable object detection,.

Imbalance Problems in Object Detection: A Review Scale-transferrable object detection,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.299358Z

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Observation 5510f108-b786-44ff-80fd-5421288d6b98 · outbound

This paper cites Parallel feature pyramid network for object detection,.

Imbalance Problems in Object Detection: A Review Parallel feature pyramid network for object detection,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.302349Z

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Observation b7988a78-babd-47ff-9e18-e645c04f0057 · outbound

This paper cites Deep feature pyramid reconﬁguration for object detection,.

Imbalance Problems in Object Detection: A Review Deep feature pyramid reconﬁguration for object detection,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.305202Z

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Observation ea440d94-ff54-45a5-a607-3dc89ec04608 · outbound

This paper cites Zoom out-and-in network with map attention decision for region proposal and object detection,.

Imbalance Problems in Object Detection: A Review Zoom out-and-in network with map attention decision for region proposal and object detection,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.308153Z

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Observation 6b60cf39-9eac-40c7-a71d-303769aaffa6 · outbound

This paper cites M2det: A single-shot object detector based on multi-level feature pyramid network,.

Imbalance Problems in Object Detection: A Review M2det: A single-shot object detector based on multi-level feature pyramid network,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.311249Z

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Observation 95d66d8c-328c-4dec-aadc-1a1d683c291a · outbound

This paper cites NAS-FPN: learning scalable feature pyramid architecture for object detection,.

Imbalance Problems in Object Detection: A Review NAS-FPN: learning scalable feature pyramid architecture for object detection,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.314206Z

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Observation 5d7c5c66-cb09-4fdb-9b32-68f5fecee50a · outbound

This paper cites Auto-fpn: Automatic network architecture adaptation for object detection beyond classiﬁcation,.

Imbalance Problems in Object Detection: A Review Auto-fpn: Automatic network architecture adaptation for object detection beyond classiﬁcation,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.317572Z

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Observation b07c6287-cebd-49a0-b92a-48f1620fb5a6 · outbound

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

Imbalance Problems in Object Detection: A Review Unitbox: An advanced object detection network,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.321156Z

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Observation 74e30a1c-50ec-4334-983f-6cfa5bc8c6c7 · outbound

This paper cites Improving object local- ization with ﬁtness nms and bounded iou loss,.

Imbalance Problems in Object Detection: A Review Improving object local- ization with ﬁtness nms and bounded iou loss,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.324633Z

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Observation b8806803-03dd-450e-811d-b53e9ac2301a · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression,.

Imbalance Problems in Object Detection: A Review Generalized intersection over union: A metric and a loss for bounding box regression,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.328004Z

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Observation 0efba9f4-e613-419f-ab6a-de54983fdba7 · outbound

This paper cites Distance-iou loss: Faster and better learning for bounding box regression,.

Imbalance Problems in Object Detection: A Review Distance-iou loss: Faster and better learning for bounding box regression,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.331494Z

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Observation f1fd0056-7f17-4cad-befa-d4db11585174 · outbound

This paper cites Cascade R-CNN: Delving into high quality object detection,.

Imbalance Problems in Object Detection: A Review Cascade R-CNN: Delving into high quality object detection,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.334965Z

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Observation 31896a36-9727-4489-9a04-2acccca60faf · outbound

This paper cites Hierarchical shot detector,.

Imbalance Problems in Object Detection: A Review Hierarchical shot detector,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.338960Z

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Observation 0139498b-51a2-4252-8fe7-e5180a37d3c0 · outbound

This paper cites IoU-uniform R-CNN: Breaking Through the Limitations of RPN.

Imbalance Problems in Object Detection: A Review IoU-uniform R-CNN: Breaking Through the Limitations of RPN

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-14T06:04:41.823812Z

Source-reported events for the cited work

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Observation 77bf2ce4-d65c-43dd-9d7a-acfb02a12d84 · outbound

This paper cites Microsoft COCO: Common Ob- jects in Context,.

Imbalance Problems in Object Detection: A Review Microsoft COCO: Common Ob- jects in Context,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.346621Z

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Observation 54312ff8-2cfb-4c5c-bc24-88fc7ef02d0b · outbound

This paper cites The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale.

Imbalance Problems in Object Detection: A Review The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.350353Z

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Observation eac7803e-b535-461a-a177-ba5e80d79ae7 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection,.

Imbalance Problems in Object Detection: A Review Objects365: A large-scale, high-quality dataset for object detection,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.354179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3c7e2c-f2a5-4afd-aa27-be05c4208d51 · outbound

This paper cites Deep residual learning for image recognition,.

Imbalance Problems in Object Detection: A Review Deep residual learning for image recognition,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.357805Z

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Observation eb85623a-b7d4-4770-964b-c2c8c3fc7fac · outbound

This paper cites Example-based learning for view- based human face detection,.

Imbalance Problems in Object Detection: A Review Example-based learning for view- based human face detection,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.361556Z

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Observation 265c8c81-3f93-4dac-b938-f776780ec596 · outbound

This paper cites Rapid object detection using a boosted cascade of simple features,.

Imbalance Problems in Object Detection: A Review Rapid object detection using a boosted cascade of simple features,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.365284Z

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Observation 4ae7e75d-6dd3-4d65-895c-e18118ee3134 · outbound

This paper cites Histograms of oriented gradients for human detection,.

Imbalance Problems in Object Detection: A Review Histograms of oriented gradients for human detection,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.369705Z

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Observation ee1a2b6b-28a3-4422-b0b4-f46d8e56f4fa · outbound

This paper cites Training deep neural networks via direct loss minimization,.

Imbalance Problems in Object Detection: A Review Training deep neural networks via direct loss minimization,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.373086Z

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Observation 892d17a8-2f9a-486c-a3b2-bca8aef4c223 · outbound

This paper cites End-to-end training of object class detectors for mean average precision,.

Imbalance Problems in Object Detection: A Review End-to-end training of object class detectors for mean average precision,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.376686Z

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Observation 897ccec7-4f74-4e04-a17a-8b0547831a15 · outbound

This paper cites Cut, paste and learn: Surprisingly easy synthesis for instance detection,.

Imbalance Problems in Object Detection: A Review Cut, paste and learn: Surprisingly easy synthesis for instance detection,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.380119Z

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Observation adf651fa-2935-4e8e-a7e4-c2414cb9ec1f · outbound

This paper cites Modeling visual context is key to augmenting object detection datasets,.

Imbalance Problems in Object Detection: A Review Modeling visual context is key to augmenting object detection datasets,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:41.383653Z

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