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 4150 of 114 papers

TitleStatusHype
EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation0
EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model0
Enhancing Weakly Supervised Video Grounding via Diverse Inference Strategies for Boundary and Prediction Selection0
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding0
Artemis: Towards Referential Understanding in Complex Videos0
Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding0
End-to-End Dense Video Grounding via Parallel Regression0
Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding0
Iterative Proposal Refinement for Weakly-Supervised Video Grounding0
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection0
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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