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Temporal Sentence Grounding
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Temporal sentence grounding (TSG) aims to locate a specific moment from an untrimmed video with a given natural language query. For this task, different levels of supervision are used. 1) Weak supervision: video-level action category set; 2) Semi-weak supervision: video-level action category set, and action annotations at several timestamps; 3) Full supervision: Action category and action interval annotations of all actions in untrimmed videos.
논문
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Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining
Contrast-Unity for Partially-Supervised Temporal Sentence Grounding
Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
Transformer with Controlled Attention for Synchronous Motion Captioning
Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding
Video sentence grounding with temporally global textual knowledge
Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video
Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
Learning Temporal Sentence Grounding From Narrated EgoVideos
Temporal Sentence Grounding in Streaming Videos
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding
You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos
Tracking Objects and Activities with Attention for Temporal Sentence Grounding
Constraint and Union for Partially-Supervised Temporal Sentence Grounding
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding
Hierarchical Local-Global Transformer for Temporal Sentence Grounding
Reducing the Vision and Language Bias for Temporal Sentence Grounding
Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video
A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach
Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding
Temporal Sentence Grounding in Videos: A Survey and Future Directions
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding
Exploring Motion and Appearance Information for Temporal Sentence Grounding
Towards Debiasing Temporal Sentence Grounding in Video
A Survey on Temporal Sentence Grounding in Videos
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
Context-aware Biaffine Localizing Network for Temporal Sentence Grounding
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