SOTAVerified

Video Grounding

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.

Papers

Showing 101114 of 114 papers

TitleStatusHype
Interventional Video Grounding with Dual Contrastive LearningCode0
Augmented 2D-TAN: A Two-stage Approach for Human-centric Spatio-Temporal Video Grounding0
Cascaded Prediction Network via Segment Tree for Temporal Video Grounding0
Parallel Attention Network with Sequence Matching for Video Grounding0
Cross-Modal learning for Audio-Visual Video ParsingCode0
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos0
STVGBert: A Visual-Linguistic Transformer Based Framework for Spatio-Temporal Video Grounding0
VLG-Net: Video-Language Graph Matching Network for Video GroundingCode1
Human-centric Spatio-Temporal Video Grounding With Visual TransformersCode1
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding0
Dense Regression Network for Video GroundingCode1
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form SentencesCode1
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses0
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in VideosCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternVideo2-6BR@1,IoU=0.756.45Unverified
2InternVideo2-1BR@1,IoU=0.754.45Unverified
3LLMEPETR@1,IoU=0.749.94Unverified
4QD-DETRR@1,IoU=0.744.98Unverified
5DiffusionVMRR@1,IoU=0.744.49Unverified
6UMTR@1,IoU=0.741.18Unverified
7Moment-DETRR@1,IoU=0.733.02Unverified
#ModelMetricClaimedVerifiedStatus
1DeCafNetR@1,IoU=0.113.25Unverified
2DenoiseLocR@1,IoU=0.111.59Unverified