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Video Grounding
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Video grounding is the task of linking spoken language descriptions to specific video segments. In video grounding, the model is given a video and a natural language description, such as a sentence or a caption, and its goal is to identify the specific segment of the video that corresponds to the description. This can involve tasks such as localizing the objects or actions mentioned in the description within the video, or associating a specific time interval with the description.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Context-Guided Spatio-Temporal Video Grounding
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding
LLM4VG: Large Language Models Evaluation for Video Grounding
Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment Retrieval
Grounded Question-Answering in Long Egocentric Videos
EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model
VTimeLLM: Empower LLM to Grasp Video Moments
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
PG-Video-LLaVA: Pixel Grounding Large Video-Language Models
Exploring Iterative Refinement with Diffusion Models for Video Grounding
Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding
Can I Trust Your Answer? Visually Grounded Video Question Answering
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection
Knowing Where to Focus: Event-aware Transformer for Video Grounding
ViGT: Proposal-free Video Grounding with Learnable Token in Transformer
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
No-frills Temporal Video Grounding: Multi-Scale Neighboring Attention and Zoom-in Boundary Detection
Dense Video Object Captioning from Disjoint Supervision
Boundary-Denoising for Video Activity Localization
Query-Dependent Video Representation for Moment Retrieval and Highlight Detection
Generation-Guided Multi-Level Unified Network for Video Grounding
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
Localizing Moments in Long Video Via Multimodal Guidance
Connecting Vision and Language with Video Localized Narratives
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
Exploiting Auxiliary Caption for Video Grounding
A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge
Language-free Training for Zero-shot Video Grounding
Weakly-Supervised Temporal Article Grounding
Graph2Vid: Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
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