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 8190 of 114 papers

TitleStatusHype
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding0
On Pursuit of Designing Multi-modal Transformer for Video Grounding0
On the Effects of Video Grounding on Language Models0
Parallel Attention Network with Sequence Matching for Video Grounding0
Position-aware Location Regression Network for Temporal Video Grounding0
SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models0
Semi-Supervised Video Paragraph Grounding With Contrastive Encoder0
Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding0
Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report0
Unsupervised Temporal Video Grounding with Deep Semantic Clustering0
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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