Sparse-Dense Side-Tuner for efficient Video Temporal Grounding | Paper Citation Record

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This paper cites Joint visual and audio learning for video highlight detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Joint visual and audio learning for video highlight detection

Reference 1

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Observation 9dcd0f8f-f622-4c8e-b43a-e26cea825954 · outbound

This paper cites FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding

Reference 2

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

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding End-to- end object detection with transformers

Reference 3

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This paper cites Slowfast networks for video recognition.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Slowfast networks for video recognition

Reference 4

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This paper cites The use of ranks to avoid the assumption of normality implicit in the analysis of variance.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding The use of ranks to avoid the assumption of normality implicit in the analysis of variance

Reference 5

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This paper cites Tall: Temporal activity localization via language query.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Tall: Temporal activity localization via language query

Reference 6

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Observation 9e3b8fdc-7227-40c6-b3f7-6591f537a59f · outbound

This paper cites Clip-adapter: Better vision-language models with fea- ture adapters.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Clip-adapter: Better vision-language models with fea- ture adapters

Reference 7

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Observation 7058ff4b-37a9-4dfe-a399-c044ba2fbe00 · outbound

This paper cites Saliency-guided detr for mo- ment retrieval and highlight detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Saliency-guided detr for mo- ment retrieval and highlight detection

Reference 8

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Observation a7a763af-351e-423e-b119-84f00fc9f336 · outbound

This paper cites LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization

Reference 9

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Observation be569355-1b5e-4e5e-9ee8-d15ddfbaf142 · outbound

This paper cites Unleash the Potential of CLIP for Video Highlight Detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Unleash the Potential of CLIP for Video Highlight Detection

Reference 10

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Observation c87d8e20-ff76-4ffa-8e6b-08460fe55dd3 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 11

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Observation a5466ecd-48ef-446e-a5ba-6f557beac4a3 · outbound

This paper cites Mini-net: Multiple instance ranking network for video highlight detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Mini-net: Multiple instance ranking network for video highlight detection

Reference 12

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Observation c99d1de7-495b-47b5-9e05-6b70969c5966 · outbound

This paper cites Fifth berkeley symposium on mathematical statistics and probability.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Fifth berkeley symposium on mathematical statistics and probability

Reference 13

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This paper cites Knowing where to focus: Event-aware transformer for video grounding.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Knowing where to focus: Event-aware transformer for video grounding

Reference 14

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This paper cites Vi- sual prompt tuning.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Vi- sual prompt tuning

Reference 15

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Observation 027ddf54-2842-4fb2-af89-78088e6f6da9 · outbound

This paper cites FractalNet: Ultra-Deep Neural Networks without Residuals.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding FractalNet: Ultra-Deep Neural Networks without Residuals

Reference 16

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Observation 1ade79a0-108e-4edd-aaba-28d11e4eb1c9 · outbound

This paper cites Bam-detr: Boundary- aligned moment detection transformer for temporal sentence grounding in videos.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Bam-detr: Boundary- aligned moment detection transformer for temporal sentence grounding in videos

Reference 17

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Observation 26a573f4-6ffc-41d4-82b9-e287e889ca43 · outbound

This paper cites Detecting moments and highlights in videos via natural language queries.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Detecting moments and highlights in videos via natural language queries

Reference 18

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Observation ac65712d-020c-41bf-9d4c-13f2eb98229f · outbound

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

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Dn-detr: Accelerate detr training by intro- ducing query denoising

Reference 19

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Observation b3a7ea83-9220-4053-984c-0aa808346661 · outbound

This paper cites Univtg: Towards unified video- language temporal grounding.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Univtg: Towards unified video- language temporal grounding

Reference 20

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Observation beb6e54a-05e5-4ed0-927f-41a94c3afc0e · outbound

This paper cites Focal loss for dense object detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Focal loss for dense object detection

Reference 21

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This paper cites Frozen clip models are efficient video learners.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Frozen clip models are efficient video learners

Reference 22

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Observation f82a852d-52f8-4d0b-b24c-e873451843be · outbound

This paper cites DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Reference 23

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This paper cites End-to-end temporal ac- tion detection with transformer.IEEE Transactions on Image Processing, 31:5427–5441, 2022.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding End-to-end temporal ac- tion detection with transformer.IEEE Transactions on Image Processing, 31:5427–5441, 2022

Reference 24

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Observation 962d6db7-09bb-4a60-9218-3d4e5fe0ff3f · outbound

This paper cites $R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding $R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding

Reference 25

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This paper cites Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection

Reference 26

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Observation 34b3b1a3-7981-425a-a102-7663f633fb81 · outbound

This paper cites LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval

Reference 27

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Observation d8b4e273-c1b5-45ef-b906-8cbe788b8875 · outbound

This paper cites The surprising effectiveness of multimodal large language models for video moment retrieval.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding The surprising effectiveness of multimodal large language models for video moment retrieval

Reference 28

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Observation f40d9eda-caae-4d09-a7d6-9c140d7b66e5 · outbound

This paper cites Correlation-guided query-dependency calibration in video representation learning for temporal grounding.CoRR, 2023.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Correlation-guided query-dependency calibration in video representation learning for temporal grounding.CoRR, 2023

Reference 29

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This paper cites Query-dependent video representa- tion for moment retrieval and highlight detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Query-dependent video representa- tion for moment retrieval and highlight detection

Reference 30

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This paper cites Representation Learning with Contrastive Predictive Coding.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Representation Learning with Contrastive Predictive Coding

Reference 31

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This paper cites St-adapter: Parameter-efficient image-to-video transfer learning.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding St-adapter: Parameter-efficient image-to-video transfer learning

Reference 32

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This paper cites Sada: Semantic adversarial unsupervised domain adaptation for temporal action localization.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Sada: Semantic adversarial unsupervised domain adaptation for temporal action localization

Reference 33

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This paper cites Disentangling spatial and temporal learning for efficient image-to-video transfer learning.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Disentangling spatial and temporal learning for efficient image-to-video transfer learning

Reference 34

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This paper cites Learning transferable visual models from natural language supervi- sion.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Learning transferable visual models from natural language supervi- sion

Reference 35

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This paper cites Coherent multi-sentence video description with variable level of detail.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Coherent multi-sentence video description with variable level of detail

Reference 36

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This paper cites Ranking domain- specific highlights by analyzing edited videos.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Ranking domain- specific highlights by analyzing edited videos

Reference 37

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This paper cites Lst: Lad- der side-tuning for parameter and memory efficient transfer learning.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Lst: Lad- der side-tuning for parameter and memory efficient transfer learning

Reference 38

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This paper cites Attention is all you need.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Attention is all you need

Reference 39

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This paper cites Internvideo2: Scaling foundation models for mul- timodal video understanding.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Internvideo2: Scaling foundation models for mul- timodal video understanding

Reference 40

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This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 41

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This paper cites Vision transformer with deformable attention.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Vision transformer with deformable attention

Reference 42

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This paper cites Bridging the gap: A unified video comprehension framework for mo- ment retrieval and highlight detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Bridging the gap: A unified video comprehension framework for mo- ment retrieval and highlight detection

Reference 43

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This paper cites Cross-category video high- light detection via set-based learning.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Cross-category video high- light detection via set-based learning

Reference 44

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This paper cites Unloc: A unified framework for video localiza- tion tasks.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Unloc: A unified framework for video localiza- tion tasks

Reference 45

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This paper cites Understanding negative sampling in graph representation learning.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Understanding negative sampling in graph representation learning

Reference 46

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This paper cites Parameter-efficient is not sufficient: Exploring parame- ter, memory, and time efficient adapter tuning for dense pre- dictions.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Parameter-efficient is not sufficient: Exploring parame- ter, memory, and time efficient adapter tuning for dense pre- dictions

Reference 47

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This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 48

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This paper cites Conditional prompt learning for vision-language mod- els.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Conditional prompt learning for vision-language mod- els

Reference 49

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Observation 93b92d5b-bd99-4e09-8c12-71c2c64db6fa · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 50

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This paper cites Notably, these losses are applied to all the intermediate layers inde- pendently.

Sparse-Dense Side-Tuner for efficient Video Temporal Grounding Notably, these losses are applied to all the intermediate layers inde- pendently

Reference 51

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