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 101110 of 114 papers

TitleStatusHype
End-to-End Dense Video Grounding via Parallel Regression0
On Pursuit of Designing Multi-modal Transformer for Video Grounding0
EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation0
Support-Set Based Cross-Supervision for Video Grounding0
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
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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