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 91100 of 114 papers

TitleStatusHype
VideoGEM: Training-free Action Grounding in Videos0
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding0
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding0
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding0
Video LLMs for Temporal Reasoning in Long Videos0
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition0
ViGT: Proposal-free Video Grounding with Learnable Token in Transformer0
SynopGround: A Large-Scale Dataset for Multi-Paragraph Video Grounding from TV Dramas and Synopses0
Dense Video Object Captioning from Disjoint SupervisionCode0
A Simple Transformer-Based Model for Ego4D Natural Language Queries ChallengeCode0
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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