Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection | Paper Citation Record

Observation 4944cc5f-aea2-44e5-a2f2-e7061cdb0e09 · outbound

This paper cites A full data augmentation pipeline for small object detection based on generative adversarial networks.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection A full data augmentation pipeline for small object detection based on generative adversarial networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:19.474303Z

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Observation afb68c42-8dbd-4db6-96e1-7dd22111af0e · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Cascade r-cnn: Delving into high quality object detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:19.233616Z

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Observation ec11c3d1-c617-4b14-ac7a-8d4760b3826f · outbound

This paper cites Visible and clear: Finding tiny objects in difference map.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Visible and clear: Finding tiny objects in difference map

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:19.038933Z

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Observation 463f7eab-ca82-4e01-81fd-4e503d9c85a3 · outbound

This paper cites Mlp-dino: Category modeling and query graphing with deep mlp for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Mlp-dino: Category modeling and query graphing with deep mlp for object detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:18.880275Z

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Observation 8f0180ab-935a-4539-a1da-ba66a66f7648 · outbound

This paper cites Strip-mlp: Efficient token interaction for vision mlp.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Strip-mlp: Efficient token interaction for vision mlp

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:18.735238Z

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Observation bd3e59e4-9cfe-48d9-a77c-5420876d4a52 · outbound

This paper cites Cf-detr: Coarse-to- fine transformers for end-to-end object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Cf-detr: Coarse-to- fine transformers for end-to-end object detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:18.493057Z

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Observation 0ecdf736-e652-4a6e-b9b5-ccc508a6a151 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection End-to-end object detection with transformers

Reference 7

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Observation 2666daca-e839-4dd5-8e10-14a4d5ca518d · outbound

This paper cites Crossvit: Cross-attention multi-scale vision transformer for image classification.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Crossvit: Cross-attention multi-scale vision transformer for image classification

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:58.772354Z

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Observation ed553674-038e-467f-b9fc-93cfe65af29f · outbound

This paper cites Diffusiondet: Diffusion model for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Diffusiondet: Diffusion model for object detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:18.233277Z

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Observation 86ef30cb-55ee-422b-bde1-2ebf27482004 · outbound

This paper cites Towards large-scale small object detection: Survey and benchmarks.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Towards large-scale small object detection: Survey and benchmarks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:18.030822Z

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Observation 2ce8076c-f1ad-4346-89b5-1356bc4eb03f · outbound

This paper cites Dynamic head: Unifying object detection heads with attentions.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dynamic head: Unifying object detection heads with attentions

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:17.842571Z

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Observation c3e44e5a-0232-42fe-944e-e1199ad4daf6 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Imagenet: A large-scale hierarchical image database

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:59.026776Z

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Observation 17ce5735-f465-4841-a9e4-791aef58f6fa · outbound

This paper cites Pedes- trian detection: An evaluation of the state of the art.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Pedes- trian detection: An evaluation of the state of the art

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:17.627036Z

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Observation 35ffc6d2-3518-44a8-b9ee-a47b80f2bf3c · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection An image is worth 16x16 words: Transformers for image recognition at scale

Reference 14

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Observation 46d2306b-8858-4d4a-9bd6-ab17cb76fa0d · outbound

This paper cites Centernet: Keypoint triplets for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Centernet: Keypoint triplets for object detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:17.316462Z

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Observation 9e4edb4e-b14b-4dcf-95fe-83b2146ccdc3 · outbound

This paper cites DSSD : Deconvolutional Single Shot Detector.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection DSSD : Deconvolutional Single Shot Detector

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:59.407941Z

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Observation dc512dc9-c16e-4989-b7e3-901a0b57f1cf · outbound

This paper cites Ps-rcnn: Detecting secondary human instances in a crowd via primary object suppression.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Ps-rcnn: Detecting secondary human instances in a crowd via primary object suppression

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:17.115030Z

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Observation f5a01355-036e-4aed-b728-9bb27e2fde2e · outbound

This paper cites Save the tiny, save the all: hierarchical activation network for tiny object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Save the tiny, save the all: hierarchical activation network for tiny object detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:16.800353Z

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Observation 68c74434-36e4-4171-8901-1e4adeb433d1 · outbound

This paper cites Mask r-cnn.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Mask r-cnn

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:16.548936Z

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Observation 86eb835b-e8f0-4579-b9f3-762392ebed1e · outbound

This paper cites Deep residual learning for image recognition.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Deep residual learning for image recognition

Reference 20

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Observation a4cacb05-065f-4835-951e-f836fd18e0bb · outbound

This paper cites Multi- scale feature balance enhancement network for pedestrian detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Multi- scale feature balance enhancement network for pedestrian detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:16.345005Z

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Observation 0c0ac9f7-3286-401b-bbea-d6d3b00d57e0 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Gaussian Error Linear Units (GELUs)

Reference 22

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Observation ea05ccca-44de-4828-a521-c9a391f01309 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:59.983066Z

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Observation a121ffc5-70f6-494a-a1b8-4ea654c6fbb7 · outbound

This paper cites Dq-detr: Detr with dynamic query for tiny object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dq-detr: Detr with dynamic query for tiny object detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:16.144449Z

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Observation 4de1dd05-adb2-4b73-87fe-d53605f0d79a · outbound

This paper cites Detrs with hybrid matching.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detrs with hybrid matching

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:00.171622Z

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Observation 02611a4c-c51c-4a96-a219-f699706d37e0 · outbound

This paper cites Augmentation for small object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Augmentation for small object detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:00.311383Z

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Observation 8e476865-0297-4efa-831c-80f9314f636b · outbound

This paper cites Cornernet: Detecting objects as paired keypoints.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Cornernet: Detecting objects as paired keypoints

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:15.885046Z

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Observation dd6d6cb7-6c64-41d7-9878-a0fc0d759614 · outbound

This paper cites Dn-detr: Accelerate detr training by introducing query denoising.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dn-detr: Accelerate detr training by introducing query denoising

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:15.620996Z

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Observation e9ee44e1-b4b8-4cf0-9adb-1dd40cd6d95d · outbound

This paper cites Focal loss for dense object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Focal loss for dense object detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:15.425305Z

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Observation 33b1f5fd-1430-447a-8b60-761ff4365664 · outbound

This paper cites Microsoft coco: Common objects in context.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Microsoft coco: Common objects in context

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:15.260871Z

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Observation 086066d8-e4ba-4dcf-84ef-7cf62d3bf65d · outbound

This paper cites Are we ready for a new paradigm shift? a survey on visual deep mlp.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Are we ready for a new paradigm shift? a survey on visual deep mlp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:15.114493Z

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Observation 3507ce27-0489-4fed-a95a-d0c7a5a0b63e · outbound

This paper cites Dab-detr: Dynamic anchor boxes are better queries for detr.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dab-detr: Dynamic anchor boxes are better queries for detr

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:14.934573Z

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Observation b1049426-0c5f-47bd-b0e9-dbc22467f5b5 · outbound

This paper cites Detection transformer with stable matching.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detection transformer with stable matching

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:14.732272Z

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Observation 0a05d65b-5c04-4afd-b57d-5338add1622f · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:01.112722Z

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Observation 5a275860-c211-43e2-85eb-4159c85a3440 · outbound

This paper cites Ssd: Single shot multibox detector.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Ssd: Single shot multibox detector

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:14.562258Z

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Observation 4cd54a29-b5ba-4914-a0e9-654b531ac21d · outbound

This paper cites A survey and performance evaluation of deep learning methods for small object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection A survey and performance evaluation of deep learning methods for small object detection

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:01.430602Z

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Observation 6fd72fcb-0d62-4855-b064-774681d03f52 · outbound

This paper cites VMamba: Visual State Space Model.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection VMamba: Visual State Space Model

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:01.814883Z

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Observation 8b5c8e19-40d7-445a-9120-bb19b36ad221 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Swin transformer: Hierarchical vision transformer using shifted windows

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:02.338021Z

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Observation 437a5d7f-c73a-46ad-89fd-3903dac566a6 · outbound

This paper cites A convnet for the 2020s.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection A convnet for the 2020s

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:03.203941Z

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Observation 80240d3b-aa59-49c9-9965-35ccf7c41b08 · outbound

This paper cites Decoupled weight decay regulariza- tion.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Decoupled weight decay regulariza- tion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:14.288668Z

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Observation 1c529d96-ea41-4ab4-9647-f8646bc8933a · outbound

This paper cites Understand- ing the effective receptive field in deep convolutional neural networks.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Understand- ing the effective receptive field in deep convolutional neural networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:14.083722Z

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Observation 1812a81c-f541-4dc2-a12a-648fade0f156 · outbound

This paper cites Cascade transformer decoder based occluded pedestrian detection with dynamic deformable convolution and gaussian projection channel atten- tion mechanism.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Cascade transformer decoder based occluded pedestrian detection with dynamic deformable convolution and gaussian projection channel atten- tion mechanism

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:13.919359Z

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Observation 6da744e7-62e5-41ba-8607-de69b1e8f1e9 · outbound

This paper cites Conditional detr for fast training convergence.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Conditional detr for fast training convergence

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:13.733210Z

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Observation 55cb8c0c-9f73-47c5-a4ef-08363df3c081 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Efficient featurized image pyramid network for single shot detector

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:13.537337Z

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Observation 1d753599-2195-4c76-a4ef-70b9bb671d7a · outbound

This paper cites Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolu- tion.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolu- tion

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:13.301575Z

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Observation 6934ca78-66e3-4c25-822d-94f454801c33 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection You only look once: Unified, real-time object detection

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:03.984819Z

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Observation d14a67f2-a017-43f6-8009-6c81586251a3 · outbound

This paper cites Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:04.069573Z

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Observation a03abf9c-5c8f-496d-9628-a690c13cddb6 · outbound

This paper cites Faster r- cnn: Towards real-time object detection with region proposal networks.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Faster r- cnn: Towards real-time object detection with region proposal networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:04.129175Z

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Observation e373f82e-4947-44b4-b896-dcf6318875be · outbound

This paper cites detrex: Benchmarking Detection Transformers.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection detrex: Benchmarking Detection Transformers

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:04.195233Z

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Observation b1a21bf5-5733-446e-8beb-06e5d66b5ae8 · outbound

This paper cites Sparse detr: Efficient end-to-end object detection with learnable sparsity.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Sparse detr: Efficient end-to-end object detection with learnable sparsity

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:13.110984Z

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Observation 54fb2398-b496-471c-a8e6-fa542e544839 · outbound

This paper cites Iterdet: iterative scheme for object detection in crowded environments.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Iterdet: iterative scheme for object detection in crowded environments

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:12.949720Z

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Observation 1da4d559-0da8-4d4a-90f0-381bb556ee85 · outbound

This paper cites Object detection in medical images based on hierarchical transformer and mask mechanism.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Object detection in medical images based on hierarchical transformer and mask mechanism

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:12.701262Z

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Observation e027b9e3-aa44-4c08-b81f-dab544fa4b75 · outbound

This paper cites Sniper: Efficient multi- scale training.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Sniper: Efficient multi- scale training

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:12.546162Z

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

Observation 2592fe78-bc51-4128-8d32-4e8cfe05ca22 · outbound

This paper cites Sparse r-cnn: End-to-end object detection with learnable proposals.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Sparse r-cnn: End-to-end object detection with learnable proposals

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:12.287431Z

Source-reported events for the cited work

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

Observation b9fa168d-3535-4bb1-9d58-1b2f9854a9f1 · outbound

This paper cites An image patch is a wave: Phase-aware vision mlp.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection An image patch is a wave: Phase-aware vision mlp

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:12.058060Z

Source-reported events for the cited work

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

Observation 6a5c8f70-f831-46dc-a0ab-90f8083db2f9 · outbound

This paper cites Multi- scale sampling attention graph convolutional networks for skeleton- based action recognition.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Multi- scale sampling attention graph convolutional networks for skeleton- based action recognition

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:11.859449Z

Source-reported events for the cited work

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

Observation 03a68a71-b5f3-43cf-a743-4491c0293806 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Training data-efficient image transformers & distillation through attention

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:11.619025Z

Source-reported events for the cited work

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

Observation a739471f-86f6-4a93-af30-c600cdc09541 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:11.406730Z

Source-reported events for the cited work

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

Observation 70dcdd5b-4b2e-490a-8489-7df632edcbd4 · outbound

This paper cites A Normalized Gaussian Wasserstein Distance for Tiny Object Detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:04.651499Z

Source-reported events for the cited work

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Observation a026be6d-94dc-4125-af47-c25cf17328a1 · outbound

This paper cites Tiny object detection in aerial images.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Tiny object detection in aerial images

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:11.175060Z

Source-reported events for the cited work

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

Observation 83cfd4e5-3bb3-4c55-b942-e34189b4e7fe · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Convnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:11.016269Z

Source-reported events for the cited work

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

Observation c077c8f6-6a96-449f-a22a-7e52a509dc6a · outbound

This paper cites Rfla: Gaussian receptive field based label assignment for tiny object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Rfla: Gaussian receptive field based label assignment for tiny object detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:10.826582Z

Source-reported events for the cited work

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

Observation b682cd6a-027c-43ae-b2b2-2c58aeab0058 · outbound

This paper cites Querydet: Cas- caded sparse query for accelerating high-resolution small object detec- tion.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Querydet: Cas- caded sparse query for accelerating high-resolution small object detec- tion

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:10.645076Z

Source-reported events for the cited work

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

Observation f5420837-1b0e-4410-b8ee-b95490b72f73 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Rep- points: Point set representation for object detection

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:10.519782Z

Source-reported events for the cited work

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

Observation f23a2718-9c88-4dec-932c-fc8d30e0d5e4 · outbound

This paper cites Efficient DETR: Improving End-to-End Object Detector with Dense Prior.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Efficient DETR: Improving End-to-End Object Detector with Dense Prior

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:04.971142Z

Source-reported events for the cited work

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Observation bcb663a8-45b4-4076-83b3-460cb1be6427 · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Multi-Scale Context Aggregation by Dilated Convolutions

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:05.022159Z

Source-reported events for the cited work

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Observation daf592d1-90ff-4951-8526-efe3128a6d3f · outbound

This paper cites Small object detection via coarse-to-fine proposal generation and imitation learning.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Small object detection via coarse-to-fine proposal generation and imitation learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:10.334094Z

Source-reported events for the cited work

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

Observation 12e1cd18-a413-401d-a41a-d012c359ba2f · outbound

This paper cites Dino: Detr with improved denoising anchor boxes for end-to-end object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Dino: Detr with improved denoising anchor boxes for end-to-end object detection

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:10.208475Z

Source-reported events for the cited work

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

Observation f5c91ad2-0ba6-42f9-8b73-04da5fe70378 · outbound

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

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Single-shot refinement neural network for object detection

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:09.984971Z

Source-reported events for the cited work

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

Observation dece96cf-6bf6-4ef5-92e0-c3a505b4e053 · outbound

This paper cites Widerperson: A diverse dataset for dense pedestrian detection in the wild.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Widerperson: A diverse dataset for dense pedestrian detection in the wild

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:08.242210Z

Source-reported events for the cited work

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

Observation 65a69d4e-1953-4583-b41f-94c6ac9362f8 · outbound

This paper cites Less is more: Focus attention for efficient detr.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Less is more: Focus attention for efficient detr

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:07.416452Z

Source-reported events for the cited work

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

Observation e3fa4d08-8387-4a23-9434-4d67c5e81ba2 · outbound

This paper cites Learning deep features for discriminative localization.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Learning deep features for discriminative localization

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:05.481510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6e1b0c-2a58-4a97-aa82-a236d1653f2b · outbound

This paper cites Detection and tracking meet drones challenge.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detection and tracking meet drones challenge

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:07.041014Z

Source-reported events for the cited work

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

Observation 218e5c74-0614-459d-a91c-5b8a46d511b6 · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Deformable detr: Deformable transformers for end-to-end object detection

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:06.840035Z

Source-reported events for the cited work

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

Observation 932f4263-0505-429c-862c-264743c245eb · outbound

This paper cites Detrs with collaborative hy- brid assignments training.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Detrs with collaborative hy- brid assignments training

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:06.587958Z

Source-reported events for the cited work

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

Observation 368e4b99-2cfe-4038-85dc-9acaba3f565f · outbound

This paper cites Learning data augmentation strategies for object detection.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Learning data augmentation strategies for object detection

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:06.454813Z

Source-reported events for the cited work

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

Observation 433986bd-0465-464b-bb5c-9c726e85ec33 · outbound

This paper cites Object detection in 20 years: A survey.

Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection Object detection in 20 years: A survey

Reference 77

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:26:06.071587Z

Source-reported events for the cited work

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

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