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 7180 of 114 papers

TitleStatusHype
EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model0
EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation0
Exploiting Feature Diversity for Make-up Temporal Video Grounding0
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory0
Gaussian Kernel-based Cross Modal Network for Spatio-Temporal Video Grounding0
Exploiting Auxiliary Caption for Video Grounding0
Generation-Guided Multi-Level Unified Network for Video Grounding0
Graph2Vid: Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization0
Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding0
Iterative Proposal Refinement for Weakly-Supervised Video Grounding0
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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