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 6170 of 114 papers

TitleStatusHype
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video GroundingCode0
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding0
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding0
Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding0
LLM4VG: Large Language Models Evaluation for Video Grounding0
Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment RetrievalCode0
EtC: Temporal Boundary Expand then Clarify for Weakly Supervised Video Grounding with Multimodal Large Language Model0
Exploring Iterative Refinement with Diffusion Models for Video GroundingCode0
Dual-Path Temporal Map Optimization for Make-up Temporal Video GroundingCode0
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection0
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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