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 5160 of 114 papers

TitleStatusHype
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video GroundingCode0
Cross-Modal learning for Audio-Visual Video ParsingCode0
Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment RetrievalCode0
Consistency of Compositional Generalization across Multiple LevelsCode0
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding0
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding0
Video LLMs for Temporal Reasoning in Long Videos0
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition0
ViGT: Proposal-free Video Grounding with Learnable Token in Transformer0
SynopGround: A Large-Scale Dataset for Multi-Paragraph Video Grounding from TV Dramas and Synopses0
Show:102550
← PrevPage 6 of 12Next →

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