Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts | Paper Citation Record

Observation c7ec077b-d7cf-40f3-87a1-13d929db8662 · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts End-to-end object detection with transformers,

Reference 1

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Observation 7697b90d-53f9-4691-aae0-80766bb384de · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Dab-detr: Dynamic anchor boxes are better queries for detr,

Reference 2

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Observation 89becba2-621a-4b9c-ac31-1faa6e9acdb3 · outbound

This paper cites Conditional detr for fast training convergence,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Conditional detr for fast training convergence,

Reference 3

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Observation dbc87e6a-e714-496e-b3b9-af3bae78d74e · outbound

This paper cites Anchor detr: Query design for transformer-based detector,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Anchor detr: Query design for transformer-based detector,

Reference 4

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Observation 7a39950d-a290-4fd4-8827-12b40e36670b · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 5

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Observation b23f107a-539f-4e18-bd02-bfa5b22bafa0 · outbound

This paper cites Focal loss for dense object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Focal loss for dense object detection,

Reference 6

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Observation 4ab03a1a-2ad6-4a24-bc52-be9d30540493 · outbound

This paper cites Fcos: A simple and strong anchor-free object detector,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Fcos: A simple and strong anchor-free object detector,

Reference 7

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Observation 86a561f8-e3ac-4749-bd90-b62e250446c7 · outbound

This paper cites Detrs with hybrid matching,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Detrs with hybrid matching,

Reference 8

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Observation e13728aa-b77d-40bc-b9b8-a05390879066 · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Dino: Detr with improved denoising anchor boxes for end-to-end object detection,

Reference 9

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Observation 9d6a207c-ec0d-4aa4-a349-9aef4b864da0 · outbound

This paper cites Rethinking transformer- based set prediction for object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Rethinking transformer- based set prediction for object detection,

Reference 10

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Observation 90ad6db7-5177-4178-b169-df96e28a036b · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Deformable detr: Deformable transformers for end-to-end object detection,

Reference 11

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Observation 931a49c4-ff08-4d77-ac3a-d102a4759f68 · outbound

This paper cites Align-detr: Improving detr with simple iou-aware bce loss,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Align-detr: Improving detr with simple iou-aware bce loss,

Reference 12

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Observation 33652c7b-9566-4058-8734-f2590749d753 · outbound

This paper cites Dac-detr: Divide the attention layers and conquer,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Dac-detr: Divide the attention layers and conquer,

Reference 13

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Observation 0eb926cb-4f56-4959-bdeb-21c392e50122 · outbound

This paper cites Ms-detr: Efficient detr training with mixed supervision,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Ms-detr: Efficient detr training with mixed supervision,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.489581Z

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Observation 64fdd8cb-8df3-4e4b-bc01-81058f95c300 · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Dn-detr: Accelerate detr training by introducing query denoising,

Reference 15

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Observation bf8ce0c5-d53a-4b48-b828-f289416f87ea · outbound

This paper cites Group detr: Fast detr training with group-wise one-to-many assignment,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Group detr: Fast detr training with group-wise one-to-many assignment,

Reference 16

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Observation 09df03e9-31af-452e-8a8b-b69b5ea7850e · outbound

This paper cites NMS Strikes Back.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts NMS Strikes Back

Reference 17

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Observation c18c9a1c-7e5d-4714-a1b5-62ac002d72d1 · outbound

This paper cites Varifocalnet: An iou-aware dense object detector,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Varifocalnet: An iou-aware dense object detector,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.506812Z

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Observation 17082541-a120-4290-985a-2622fef3d543 · outbound

This paper cites Detection transformer with stable matching,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Detection transformer with stable matching,

Reference 19

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Observation e468fc94-d7e2-4a4f-9e92-d3316f6acd62 · outbound

This paper cites Rank-detr for high quality object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Rank-detr for high quality object detection,

Reference 20

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Observation e178b26f-fb4a-4d26-9783-3812454269e5 · outbound

This paper cites Mr. detr: Instructive multi-route training for detection transformers,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Mr. detr: Instructive multi-route training for detection transformers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:56.112989Z

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Observation 8da5b88a-f694-4b3c-bb58-486bbf6cbb3a · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Objects365: A large-scale, high-quality dataset for object detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:56.098139Z

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Observation 1c85e327-0a36-4bac-ad2b-b8d27ff5db45 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts nuscenes: A multimodal dataset for autonomous driving,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:56.081952Z

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Observation baa5889b-8ddb-4013-927d-b308f55d7e25 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts YOLOX: Exceeding YOLO Series in 2021

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.531581Z

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Observation 1da70c25-6124-4c69-b87b-0c5729e0f6f4 · outbound

This paper cites You should look at all objects,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts You should look at all objects,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:56.067306Z

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Observation 027cf4c0-14e4-4e75-bf79-087b14c45faa · outbound

This paper cites Dynamic detr: End-to-end object detection with dynamic attention,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Dynamic detr: End-to-end object detection with dynamic attention,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:56.052761Z

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Observation 3989934d-42e4-41c4-a0b6-6683a9a49c48 · outbound

This paper cites Fast convergence of detr with spatially modulated co-attention,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Fast convergence of detr with spatially modulated co-attention,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:56.038797Z

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Observation f1b7985f-6184-4b0e-bfc2-4c664a71aa5b · outbound

This paper cites Cascade-detr: delving into high-quality universal object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Cascade-detr: delving into high-quality universal object detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:56.024267Z

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Observation 19685670-49ed-4b5f-9bfb-223f61b2361b · outbound

This paper cites Ease-detr: Easing the competition among object queries,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Ease-detr: Easing the competition among object queries,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:56.009757Z

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Observation 8b00a220-7ce3-4c3b-839a-841467bdfee4 · outbound

This paper cites Relation detr: Exploring explicit position relation prior for object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Relation detr: Exploring explicit position relation prior for object detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.995391Z

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Observation d499709b-db5e-490a-bf21-209cee2b9278 · outbound

This paper cites Sap-detr: bridging the gap between salient points and queries-based transformer detector for fast model convergency,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Sap-detr: bridging the gap between salient points and queries-based transformer detector for fast model convergency,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.980771Z

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Observation ed4feb12-f1bf-4bba-9cd0-c0df13cf7b40 · outbound

This paper cites Accelerating detr convergence via semantic-aligned matching,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Accelerating detr convergence via semantic-aligned matching,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.964198Z

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Observation 88438831-f892-4e0e-b192-add21fa0ad71 · outbound

This paper cites Hybrid proposal refiner: Revisiting detr series from the faster r-cnn perspective,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Hybrid proposal refiner: Revisiting detr series from the faster r-cnn perspective,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.948213Z

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Observation fc175814-5931-4b72-9b71-8a7e6ac40d5c · outbound

This paper cites MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:33:55.092844Z

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Observation b263c9ff-a5e3-4860-8b45-dc2a85bd5d80 · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Efficient DETR: Improving End-to-End Object Detector with Dense Prior

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.579100Z

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Observation bf06848f-4b38-4d6e-a3b3-c1385bdd4226 · outbound

This paper cites Salience detr: Enhancing detection transformer with hierarchical salience filtering refinement,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Salience detr: Enhancing detection transformer with hierarchical salience filtering refinement,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.933603Z

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Observation 28f11678-7fb0-4dda-90b5-812644b064c3 · outbound

This paper cites Dense distinct query for end-to-end object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Dense distinct query for end-to-end object detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.918779Z

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Observation 7a26813e-ef69-4a4e-b505-46bd3845d42d · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Sparse detr: Efficient end-to-end object detection with learnable sparsity,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.904608Z

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Observation 32ef7462-5f05-4713-9cef-2f04ae23b1e2 · outbound

This paper cites D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:33:55.053239Z

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Observation 8a5c3650-f2e0-407d-81ef-1210b83dbee4 · outbound

This paper cites Detrs beat yolos on real-time object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Detrs beat yolos on real-time object detection,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.890326Z

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Observation 4ce589a4-8a6a-4d71-8902-23579e790fb2 · outbound

This paper cites Lite detr: An interleaved multi-scale encoder for efficient detr,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Lite detr: An interleaved multi-scale encoder for efficient detr,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.876722Z

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Observation a50348a8-c7d7-4aae-9b8b-eb855952d1b6 · outbound

This paper cites LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.610695Z

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Observation c84b2baa-6146-4659-9364-d15431883ae0 · outbound

This paper cites Decoupled detr: Spatially disentangling localization and classification for improved end-to-end object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Decoupled detr: Spatially disentangling localization and classification for improved end-to-end object detection,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.861319Z

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Observation 7f2386de-8de5-4f20-9c4a-8ba738fca218 · outbound

This paper cites Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.845614Z

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Observation 50a779ce-358e-49d4-89b3-08e6ef9578ee · outbound

This paper cites Ota: Optimal transport assignment for object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Ota: Optimal transport assignment for object detection,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.830943Z

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Observation c6b72893-dadf-4e53-bb77-738ab232ec38 · outbound

This paper cites Tood: Task- aligned one-stage object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Tood: Task- aligned one-stage object detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.815547Z

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Observation 474d39c2-890e-4869-a47f-fcbfc1e13ff7 · outbound

This paper cites Adamixer: A fast-converging query-based object detector,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Adamixer: A fast-converging query-based object detector,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.800479Z

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Observation 9fc28622-c1bc-4b61-9e82-e7792e114d5c · outbound

This paper cites Recurrent glimpse-based decoder for detection with transformer,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Recurrent glimpse-based decoder for detection with transformer,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.785462Z

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Observation 9599052a-760b-4efc-8310-4b7f4f30cca0 · outbound

This paper cites Querydet: Cascaded sparse query for accelerating high-resolution small object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Querydet: Cascaded sparse query for accelerating high-resolution small object detection,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.771298Z

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Observation 080c3634-08b2-4a32-9252-dd64f60a6d3a · outbound

This paper cites Exploring plain vision transformer backbones for object detection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Exploring plain vision transformer backbones for object detection,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.755577Z

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Observation f0c72f3e-1dc2-4cc7-a468-5edda1aca3cb · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Cf-detr: Coarse-to-fine transformers for end-to-end object detection,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.740595Z

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 5cf9ccba-9231-483e-85b1-35ba223add6a · outbound

This paper cites Feataug-detr: Enriching one-to-many matching for detrs with feature augmentation,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Feataug-detr: Enriching one-to-many matching for detrs with feature augmentation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.726905Z

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 6707c09c-ceab-471b-879c-aeb6827b729a · outbound

This paper cites The hungarian method for the assignment problem,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts The hungarian method for the assignment problem,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.712658Z

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 009d8058-5e5c-494d-be97-213cc6533997 · outbound

This paper cites Learning dynamic query combinations for transformer-based object detection and segmentation,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Learning dynamic query combinations for transformer-based object detection and segmentation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.697395Z

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 eb180c1f-30cc-4c4b-88f1-36bbe998ac6e · outbound

This paper cites Stageinteractor: Query-based object detector with cross-stage interaction,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Stageinteractor: Query-based object detector with cross-stage interaction,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.683266Z

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 eb009c67-2251-4590-adda-8dfcb8cadd04 · outbound

This paper cites Enhanced training of query-based object detection via selective query recollection,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Enhanced training of query-based object detection via selective query recollection,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.668222Z

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 cd255b1c-039a-4c02-85d4-f7afa0010044 · outbound

This paper cites Detrs with collaborative hybrid assignments training,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Detrs with collaborative hybrid assignments training,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.653513Z

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 609d7897-3434-4507-a243-c80768d55e0e · outbound

This paper cites Kd-detr: Knowledge distillation for detection transformer with consistent distillation points sampling,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Kd-detr: Knowledge distillation for detection transformer with consistent distillation points sampling,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.638845Z

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 57590114-4eb7-4d08-871a-636b45999426 · outbound

This paper cites Detrdistill: A universal knowledge distillation framework for detr-families,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Detrdistill: A universal knowledge distillation framework for detr-families,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.622354Z

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 b2e7ce8c-f02b-436c-a8ef-50f96b4525ae · outbound

This paper cites Teach- detr: Better training detr with teachers,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Teach- detr: Better training detr with teachers,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.606375Z

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 c2ecfb65-707c-4eb7-b0a8-13393cf7f76a · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Distilling the Knowledge in a Neural Network

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.694383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 971c6247-5d91-47f9-a370-4067807625b1 · outbound

This paper cites Delving deep into label smoothing,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Delving deep into label smoothing,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.591740Z

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 e8f35cdd-2a29-447e-9ae8-d26b80216d2f · outbound

This paper cites Adaptive mixtures of local experts,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Adaptive mixtures of local experts,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.576687Z

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 40dabc58-b284-4990-b54b-eda97cbf0e56 · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.562416Z

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 a4dc593e-3721-42a9-9c37-cc3acbac7f66 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.546171Z

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 9c0ce407-7854-4028-951e-ebf097e256ab · outbound

This paper cites DeepSeek-V3 Technical Report.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts DeepSeek-V3 Technical Report

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.716204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95962f6f-7cf6-41cc-bebe-61a754e37214 · outbound

This paper cites Scaling vision with sparse mixture of experts,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Scaling vision with sparse mixture of experts,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.532033Z

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 2b52d29b-94fb-415b-a611-045ebc16810b · outbound

This paper cites Learning to Merge Tokens in Vision Transformers.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Learning to Merge Tokens in Vision Transformers

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.724486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b388247-9497-46ea-a7c5-79b46660f18b · outbound

This paper cites Residual Mixture of Experts.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Residual Mixture of Experts

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.729228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d27258-1260-42f8-9120-369a83dce0da · outbound

This paper cites Robust mixture-of-expert training for convolutional neural networks,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Robust mixture-of-expert training for convolutional neural networks,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.517865Z

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 604f694f-43a9-4261-88f5-220759b82eca · outbound

This paper cites Scaling Diffusion Transformers to 16 Billion Parameters.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Scaling Diffusion Transformers to 16 Billion Parameters

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.737557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6100cbd-506c-4089-a3da-12755c868b95 · outbound

This paper cites M 3vit: Mixture-of-experts vision transformer for efficient multi- task learning with model-accelerator co-design,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts M 3vit: Mixture-of-experts vision transformer for efficient multi- task learning with model-accelerator co-design,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.503934Z

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 4e7f2b78-d5dc-4966-92c6-47212ecc2349 · outbound

This paper cites Mod-squad: Designing mixtures of experts as modular multi-task learners,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Mod-squad: Designing mixtures of experts as modular multi-task learners,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.490343Z

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 72ffebf5-f228-4a92-ba3a-ddd17717dca3 · outbound

This paper cites Adamv-moe: Adaptive multi-task vision mixture-of-experts,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Adamv-moe: Adaptive multi-task vision mixture-of-experts,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.476710Z

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 39976d04-5002-4254-b4b1-14aa9f2c136b · outbound

This paper cites Multi-task dense prediction via mixture of low-rank experts,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Multi-task dense prediction via mixture of low-rank experts,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.462225Z

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 9eb4c0ce-c24a-4470-9aae-d9931c721b54 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Lora: Low-rank adaptation of large language models,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.446768Z

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 fa6b58d2-a9b1-451a-951e-33724dc7479d · outbound

This paper cites Language Models are Few-Shot Learners.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Language Models are Few-Shot Learners

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.762716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1609f71-5557-4d8d-b511-e4b74428a322 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.766980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c314bc5-4cbb-4683-a587-58fd6e4983d0 · outbound

This paper cites How can we know what language models know?.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts How can we know what language models know?

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.431544Z

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 ec28fec8-24db-402a-8f3f-898fec88e1f2 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Prefix-tuning: Optimizing continuous prompts for generation,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.416463Z

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 e7142ee4-1f9d-4aa5-84df-1a48099cd7ba · outbound

This paper cites The power of scale for parameter- efficient prompt tuning,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts The power of scale for parameter- efficient prompt tuning,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.401480Z

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 0d32c0e2-6dec-4c98-b16c-7e32afc9504b · outbound

This paper cites P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.386706Z

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 a59968da-668d-4450-a60a-5ebb8f38cabc · outbound

This paper cites Learning to prompt for vision-language models,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Learning to prompt for vision-language models,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.372292Z

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 a33ba3b2-067d-4ff7-be16-03880e20386a · outbound

This paper cites Prompting visual- language models for efficient video understanding,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Prompting visual- language models for efficient video understanding,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.358326Z

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 de88f1f1-3191-4b4f-955b-5147c1e37c1d · outbound

This paper cites Learning to prompt for continual learning,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Learning to prompt for continual learning,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.343727Z

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 90eb5d10-253c-48ea-977f-07e0d606acdf · outbound

This paper cites iMOVE: Instance-Motion-Aware Video Understanding.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts iMOVE: Instance-Motion-Aware Video Understanding

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T16:33:54.800846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28254876-26d1-42a2-8543-6658788ec8f8 · outbound

This paper cites Visual prompt tuning,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Visual prompt tuning,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.329252Z

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 a2def400-62e8-4e6d-a356-fc5bcc21df7d · outbound

This paper cites Multitask vision-language prompt tuning,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Multitask vision-language prompt tuning,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.314020Z

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 00dd38ee-e5f5-4429-8f27-319ff4a36c3e · outbound

This paper cites Improving visual prompt tuning for self-supervised vision transformers,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Improving visual prompt tuning for self-supervised vision transformers,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.299557Z

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 1d4ce540-0d5e-4f44-9fe7-6b2b67f8ed38 · outbound

This paper cites Microsoft coco: Common objects in context,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Microsoft coco: Common objects in context,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.284985Z

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 b30faacc-58bc-4037-a9a4-074cb97d6578 · outbound

This paper cites Deep residual learning for image recognition,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Deep residual learning for image recognition,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.269725Z

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 44abf132-cb65-446d-a7d3-2b8776d08d83 · outbound

This paper cites Panoptic segmentation,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Panoptic segmentation,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.255319Z

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 e03e2e07-b9e9-4b61-a651-df200e63505c · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.240651Z

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 69ec2e81-c7ab-4470-aac6-a88cff87e4bf · outbound

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

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Imagenet: A large-scale hierarchical image database,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.224035Z

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 b25c0363-6b18-4c39-9edc-37ed9be5f66d · outbound

This paper cites Decoupled weight decay regularization,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Decoupled weight decay regularization,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.207687Z

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 f1ff4395-9e41-4eba-a14b-0a13d01ef9d6 · outbound

This paper cites v-clr: View-consistent learning for open-world instance segmentation,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts v-clr: View-consistent learning for open-world instance segmentation,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.191837Z

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 59a92fa2-48a5-4bdf-ba00-c195ea9ae600 · outbound

This paper cites Mask dino: Towards a unified transformer-based framework for object detection and segmentation,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Mask dino: Towards a unified transformer-based framework for object detection and segmentation,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.174774Z

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 467c00de-3949-4c03-a6d4-181895a54930 · outbound

This paper cites Masked- attention mask transformer for universal image segmentation,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Masked- attention mask transformer for universal image segmentation,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.159656Z

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 c1ea760f-afd9-45b5-92fd-7605b4c724c6 · outbound

This paper cites Panoptic segformer: Delving deeper into panoptic segmentation with transformers,.

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts Panoptic segformer: Delving deeper into panoptic segmentation with transformers,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:33:55.141910Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers