Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning | Paper Citation Record

Observation ed7c5e90-7d95-4826-b151-8d826f8327ff · outbound

This paper cites Joint feature learning and relation modeling for tracking: A one-stream framework,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Joint feature learning and relation modeling for tracking: A one-stream framework,

Reference 1

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Observation 775cfa2d-a4d0-423f-8221-f1413f4af10f · outbound

This paper cites Hhtrack: Hyperspectral object tracking using hybrid attention,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Hhtrack: Hyperspectral object tracking using hybrid attention,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.443744Z

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Observation 87c2d92c-f04b-4c17-9362-e584e3a081e3 · outbound

This paper cites Mixformer: End-to-end tracking with iterative mixed attention,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Mixformer: End-to-end tracking with iterative mixed attention,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.434665Z

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Observation 5e16bc4a-d2f6-4058-a7b8-1f921940bd39 · outbound

This paper cites Cafuser: Condition- aware multimodal fusion for robust semantic perception of driving scenes,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Cafuser: Condition- aware multimodal fusion for robust semantic perception of driving scenes,

Reference 4

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Observation e90ff0d1-0956-49c5-b8a4-68706949d38d · outbound

This paper cites SUTrack: Towards Simple and Unified Single Object Tracking.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning SUTrack: Towards Simple and Unified Single Object Tracking

Reference 5

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Observation 817ff638-167c-4c3c-99b5-15fe748bf163 · outbound

This paper cites Single-model and any-modality for video object tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Single-model and any-modality for video object tracking,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.415340Z

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Observation 446034d2-3dd7-4431-978c-a4626007ebe3 · outbound

This paper cites Sdstrack: Self-distillation symmetric adapter learning for multi-modal visual object tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Sdstrack: Self-distillation symmetric adapter learning for multi-modal visual object tracking,

Reference 7

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Observation d118faeb-1e07-4ae5-8151-0f675b966d4a · outbound

This paper cites Cross-modality distillation for multi-modal tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Cross-modality distillation for multi-modal tracking,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.396061Z

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Observation 4b5320c6-bad2-49ce-9226-ab4053459c7a · outbound

This paper cites Bi-directional adapter for multimodal tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Bi-directional adapter for multimodal tracking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.387135Z

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Observation d559e0fb-b9f3-4f9d-a453-34f3471397a4 · outbound

This paper cites Visual prompt multi-modal tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Visual prompt multi-modal tracking,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.377836Z

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Observation 70deafe0-b33f-4747-be2d-0c65987427b1 · outbound

This paper cites Onetracker: Unifying visual object tracking with foundation models and efficient tuning,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Onetracker: Unifying visual object tracking with foundation models and efficient tuning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.369219Z

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Observation c9835702-4470-4eba-970f-7c77eb0880fe · outbound

This paper cites Xtrack: Multimodal training boosts rgb-x video object trackers,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Xtrack: Multimodal training boosts rgb-x video object trackers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.350256Z

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Observation 8fa1deca-c807-4cb9-993f-b74e4e5d0ce3 · outbound

This paper cites What you have is what you track: Adaptive and robust multimodal tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning What you have is what you track: Adaptive and robust multimodal tracking,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.359847Z

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Observation c929f761-7a88-45eb-be0e-0b4ac9742667 · outbound

This paper cites Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking

Reference 15

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Observation dd66aa32-c1a9-40e3-a804-24cd734a3ba9 · outbound

This paper cites Mambaevt: Event stream-based visual object tracking using state space model,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Mambaevt: Event stream-based visual object tracking using state space model,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.341068Z

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Observation 7214ca39-0f0e-4d41-8a2f-6fb2d2ceaa9f · outbound

This paper cites Self-supervised learning for rgb-d object tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Self-supervised learning for rgb-d object tracking,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.332736Z

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Observation f5b8edf8-eeeb-476b-824a-85f45f0ba6b0 · outbound

This paper cites Fmtrack: Frequency-aware interaction and multi-expert fusion for rgb- t tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Fmtrack: Frequency-aware interaction and multi-expert fusion for rgb- t tracking,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.323840Z

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Observation ce8ad603-1c64-4021-9df9-bcc73348e676 · outbound

This paper cites Cross-modal orthogonal high-rank augmentation for rgb-event transformer-trackers,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Cross-modal orthogonal high-rank augmentation for rgb-event transformer-trackers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.313734Z

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Observation a9601beb-feff-43f4-867d-678869979b27 · outbound

This paper cites Lighttrack: Finding lightweight neural networks for object tracking via one-shot architecture search,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Lighttrack: Finding lightweight neural networks for object tracking via one-shot architecture search,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.304813Z

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Observation 009efb01-8016-4fa5-808d-5e09f57737cf · outbound

This paper cites Litetrack: Layer pruning with asynchronous feature extraction for lightweight and efficient visual tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Litetrack: Layer pruning with asynchronous feature extraction for lightweight and efficient visual tracking,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.296271Z

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Observation 76fa55c8-7166-43cc-a878-a8cd58c622e0 · outbound

This paper cites Mixformerv2: Efficient fully transformer tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Mixformerv2: Efficient fully transformer tracking,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.287585Z

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Observation d24e43af-1b39-4176-b2e8-baab3af45435 · outbound

This paper cites Emtrack: Efficient multimodal object tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Emtrack: Efficient multimodal object tracking,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.278871Z

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Observation 5b718b61-3029-4be8-abe8-2e11c42da6a7 · outbound

This paper cites Exploring pruning-based efficient object tracking via hybrid knowledge distillation,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Exploring pruning-based efficient object tracking via hybrid knowledge distillation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.270387Z

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Observation 6397810d-a8d0-4a47-a49c-23f481badfed · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Distilling the Knowledge in a Neural Network

Reference 25

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Observation 60633b2c-997f-4567-85b3-ccda3a5951a2 · outbound

This paper cites Decoupled knowledge distillation,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Decoupled knowledge distillation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.261525Z

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Observation e5f6d67e-3063-470b-b361-e1ee35c6f21b · outbound

This paper cites Relational knowledge distillation,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Relational knowledge distillation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.252503Z

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Observation c62ca8dc-aa47-44cc-91dc-376dae51ef60 · outbound

This paper cites Relational knowledge distillation,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Relational knowledge distillation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.242536Z

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Observation 02a6d4e8-2988-4656-baec-a6ad88280aac · outbound

This paper cites Learning from multiple teacher networks,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Learning from multiple teacher networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.233492Z

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Observation bf1a71c0-11a6-4f2d-b64e-aa61ebc4b7ad · outbound

This paper cites Structured knowledge distillation for semantic segmentation,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Structured knowledge distillation for semantic segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.224347Z

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Observation ce128d14-3f1a-43e4-84e5-7ab19c03c3ba · outbound

This paper cites Double similarity distillation for semantic image segmentation,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Double similarity distillation for semantic image segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.214993Z

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Observation 1845dbce-2641-4d24-9c7f-5d78031a9d75 · outbound

This paper cites Prompting for multi-modal tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Prompting for multi-modal tracking,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.205993Z

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Observation ae711d23-1b69-4479-8a40-efc840626b4c · outbound

This paper cites Siam R-CNN: Visual tracking by re-detection,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Siam R-CNN: Visual tracking by re-detection,

Reference 33

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Observation 5b9bcf1f-38db-401e-a9ca-93857f1ee7c0 · outbound

This paper cites Transformer tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Transformer tracking,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.188404Z

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Observation 98426767-02ad-47f6-80f7-4b896535fe46 · outbound

This paper cites High-performance long-term tracking with meta-updater,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning High-performance long-term tracking with meta-updater,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.179586Z

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Observation 6d7af632-8ad0-4cff-b5a1-31259946f8b0 · outbound

This paper cites Probabilistic regression for visual tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Probabilistic regression for visual tracking,

Reference 36

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Observation beaea6ca-00ea-4e26-bbe2-e0f71133dcc7 · outbound

This paper cites Vital: Visual tracking via adversarial learning,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Vital: Visual tracking via adversarial learning,

Reference 37

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Observation 77e3817e-642a-41c0-8ceb-9ee0075fca5b · outbound

This paper cites Learning multi-domain convolutional neural networks for visual tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Learning multi-domain convolutional neural networks for visual tracking,

Reference 38

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Observation a71c6847-7eef-4bf6-afd6-1950873dc87e · outbound

This paper cites Atom: Accurate tracking by overlap maximization,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Atom: Accurate tracking by overlap maximization,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.143466Z

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Observation 46d6e2b3-afce-4768-b022-b443641ef28f · outbound

This paper cites Learning spatio-temporal transformer for visual tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Learning spatio-temporal transformer for visual tracking,

Reference 40

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Observation d3736a04-9935-4c84-aafc-549119065670 · outbound

This paper cites Siamban: Target-aware tracking with siamese box adaptive network,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Siamban: Target-aware tracking with siamese box adaptive network,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.123633Z

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Observation 4413f9c7-2fd5-440b-bcf5-c8668d532482 · outbound

This paper cites Fast online object tracking and segmentation: A unifying approach,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Fast online object tracking and segmentation: A unifying approach,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.113825Z

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Observation 3de9d966-018c-47c4-ba50-a09836a49b3e · outbound

This paper cites Attribute-based progressive fusion network for rgbt tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Attribute-based progressive fusion network for rgbt tracking,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.104527Z

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Observation 7810d613-66be-4904-8011-b5f7dd83115c · outbound

This paper cites Cross-modal pattern-propagation for rgb-t tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Cross-modal pattern-propagation for rgb-t tracking,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.095937Z

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Observation effb7b87-3d4a-4f17-8c0d-3306b193efba · outbound

This paper cites Jointly modeling motion and appearance cues for robust RGB-T tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Jointly modeling motion and appearance cues for robust RGB-T tracking,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.087532Z

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Observation 1c9c684d-efd0-4ee3-9a82-53e10f4f82f5 · outbound

This paper cites Challenge-aware RGBT tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Challenge-aware RGBT tracking,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.077541Z

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Observation cdcc709a-05ed-44d4-87f2-65f8f76aca66 · outbound

This paper cites Quality-aware feature aggregation network for robust RGBT tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Quality-aware feature aggregation network for robust RGBT tracking,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.068198Z

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

Observation 09459674-ab58-47ec-a941-97cf59504ec7 · outbound

This paper cites Dense feature aggregation and pruning for RGBT tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Dense feature aggregation and pruning for RGBT tracking,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.058630Z

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Observation 9dd0b79d-0b98-4be5-92f1-58af100f4b20 · outbound

This paper cites Deep adaptive fusion network for high performance RGBT tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Deep adaptive fusion network for high performance RGBT tracking,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.049287Z

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Observation 571e0ec0-4c8e-4f5a-a52c-2880d0ec09dc · outbound

This paper cites Object tracking in RGB-T videos using modal-aware attention network and competitive learning,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Object tracking in RGB-T videos using modal-aware attention network and competitive learning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.040053Z

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Observation b3efdcb1-b796-499c-8c63-465fc0f908bf · outbound

This paper cites Exploring Enhanced Contextual Information for Video-Level Object Tracking.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Exploring Enhanced Contextual Information for Video-Level Object Tracking

Reference 51

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Observation 254a2210-1dbb-44f1-b6e8-943f9fc73006 · outbound

This paper cites Fast-itpn: Integrally pre-trained transformer pyramid network with token migration,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Fast-itpn: Integrally pre-trained transformer pyramid network with token migration,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.031085Z

Source-reported events for the cited work

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

Observation a93cc7b4-9312-4abb-bae2-be1feafcf37c · outbound

This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Got-10k: A large high-diversity benchmark for generic object tracking in the wild,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.022165Z

Source-reported events for the cited work

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

Observation 20dde008-6850-4ec5-8e0e-78b883a3ec5d · outbound

This paper cites Trackingnet: A large-scale dataset and benchmark for object tracking in the wild,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Trackingnet: A large-scale dataset and benchmark for object tracking in the wild,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.012423Z

Source-reported events for the cited work

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

Observation fabd465d-7895-408a-a8f3-64c580da8891 · outbound

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

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Microsoft coco: Common objects in context,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:46.002594Z

Source-reported events for the cited work

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

Observation 9a8152e0-66cb-4870-9447-841c7846999a · outbound

This paper cites Lasot: A high-quality benchmark for large-scale single object tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Lasot: A high-quality benchmark for large-scale single object tracking,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.992729Z

Source-reported events for the cited work

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

Observation 0c998677-8d21-4256-8faf-2e10a0796100 · outbound

This paper cites Lasher: A large-scale high-diversity benchmark for rgbt tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Lasher: A large-scale high-diversity benchmark for rgbt tracking,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.982352Z

Source-reported events for the cited work

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

Observation 4c9f9456-81ed-45d4-b9b0-cece5158950d · outbound

This paper cites Visevent: Reliable object tracking via collaboration of frame and event flows,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Visevent: Reliable object tracking via collaboration of frame and event flows,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.972313Z

Source-reported events for the cited work

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

Observation 8d1bc65a-67f4-4dd3-912a-2c271df176e9 · outbound

This paper cites Depthtrack: Unveiling the power of rgbd tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Depthtrack: Unveiling the power of rgbd tracking,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.963228Z

Source-reported events for the cited work

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

Observation d2180809-1177-4bad-910e-52387ef08fa4 · outbound

This paper cites Rgbd1k: A large-scale dataset and benchmark for rgb-d object tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Rgbd1k: A large-scale dataset and benchmark for rgb-d object tracking,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.953438Z

Source-reported events for the cited work

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

Observation 6bcbeb21-a9db-42c6-91a7-47b8a9534477 · outbound

This paper cites Correlation- aware deep tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Correlation- aware deep tracking,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.942011Z

Source-reported events for the cited work

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

Observation 9004d9bc-2a79-447a-a5ce-f3a46dab6e61 · outbound

This paper cites The tenth visual object tracking vot2022 challenge results,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning The tenth visual object tracking vot2022 challenge results,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.930704Z

Source-reported events for the cited work

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

Observation 41b0b6c6-da42-4c8f-a945-913abe2204e2 · outbound

This paper cites The eighth visual object tracking VOT2020 challenge results,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning The eighth visual object tracking VOT2020 challenge results,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.919732Z

Source-reported events for the cited work

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

Observation 30e40a7b-fdde-4c20-8f0d-7cf66a4d4e37 · outbound

This paper cites Dal: A deep depth-aware long-term tracker,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Dal: A deep depth-aware long-term tracker,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.909738Z

Source-reported events for the cited work

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

Observation f1998aeb-2155-4c80-8b22-dc647c00b748 · outbound

This paper cites The seventh visual object tracking VOT2019 challenge results,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning The seventh visual object tracking VOT2019 challenge results,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.900796Z

Source-reported events for the cited work

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

Observation 59ac86b9-14a2-4235-aedd-db458844e1b2 · outbound

This paper cites Context-aware three-dimensional mean-shift with occlusion handling for robust object tracking in RGB-D videos,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Context-aware three-dimensional mean-shift with occlusion handling for robust object tracking in RGB-D videos,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.892407Z

Source-reported events for the cited work

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

Observation 294601b8-82a8-4689-bbba-a2b39591d0bb · outbound

This paper cites Learning discrimi- native model prediction for tracking,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Learning discrimi- native model prediction for tracking,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.882609Z

Source-reported events for the cited work

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

Observation aefcdcd9-707b-41d0-aa87-10fbe1e6713d · outbound

This paper cites Channel-wise knowledge distillation for dense prediction,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Channel-wise knowledge distillation for dense prediction,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.872267Z

Source-reported events for the cited work

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

Observation a8a382e4-2bf8-4cbb-a52b-f67722b8e486 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning FitNets: Hints for Thin Deep Nets

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T00:09:45.598653Z

Source-reported events for the cited work

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Observation 4e5fea43-c5b8-4fee-a932-c17191b56a7f · outbound

This paper cites Similarity-preserving knowledge distillation,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Similarity-preserving knowledge distillation,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.862165Z

Source-reported events for the cited work

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

Observation ae849a77-651f-4a6a-9a05-bdea66e2c9fc · outbound

This paper cites Customkd: Customizing large vision foundation for edge model improvement via knowledge distillation,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Customkd: Customizing large vision foundation for edge model improvement via knowledge distillation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.852508Z

Source-reported events for the cited work

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

Observation 016d73eb-3986-4d8f-b800-2f0ec16e6331 · outbound

This paper cites Attention-guided Feature Distillation for Semantic Segmentation.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Attention-guided Feature Distillation for Semantic Segmentation

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:09:45.783428Z

Source-reported events for the cited work

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

Observation dc3f0682-4722-48bd-86ad-cdb508d155d0 · outbound

This paper cites Rethinking knowledge distillation with raw features for semantic segmentation,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Rethinking knowledge distillation with raw features for semantic segmentation,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:09:45.842222Z

Source-reported events for the cited work

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

Observation ea853971-8cb0-4f46-9d26-0a143d057e24 · outbound

This paper cites Simple semi-supervised knowledge distillation from vision-language models via dual-head optimization,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Simple semi-supervised knowledge distillation from vision-language models via dual-head optimization,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T00:09:45.616325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f71132-027a-4c9a-8d3a-73bae4af8369 · outbound

This paper cites Generative adversarial networks,.

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning Generative adversarial networks,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T00:09:45.619182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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