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
ViGT: Proposal-free Video Grounding with Learnable Token in Transformer0
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory0
No-frills Temporal Video Grounding: Multi-Scale Neighboring Attention and Zoom-in Boundary Detection0
Dense Video Object Captioning from Disjoint SupervisionCode0
Boundary-Denoising for Video Activity LocalizationCode0
Generation-Guided Multi-Level Unified Network for Video Grounding0
MINOTAUR: Multi-task Video Grounding From Multimodal QueriesCode0
Exploiting Auxiliary Caption for Video Grounding0
WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding0
Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal 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