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 101–114 of 114 papers

TitleStatusHype
Semi-Supervised Video Paragraph Grounding With Contrastive Encoder—0
Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding—0
SimBase: A Simple Baseline for Temporal Video Grounding—0
Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network—0
SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability—0
SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding—0
STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding—0
STVGBert: A Visual-Linguistic Transformer Based Framework for Spatio-Temporal Video Grounding—0
STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal Understanding—0
Support-Set Based Cross-Supervision for Video Grounding—0
Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report—0
Unsupervised Temporal Video Grounding with Deep Semantic Clustering—0
VideoGEM: Training-free Action Grounding in Videos—0
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternVideo2-6BR@1,IoU=0.756.45—Unverified
2InternVideo2-1BR@1,IoU=0.754.45—Unverified
3LLMEPETR@1,IoU=0.749.94—Unverified
4QD-DETRR@1,IoU=0.744.98—Unverified
5DiffusionVMRR@1,IoU=0.744.49—Unverified
6UMTR@1,IoU=0.741.18—Unverified
7Moment-DETRR@1,IoU=0.733.02—Unverified
#ModelMetricClaimedVerifiedStatus
1DeCafNetR@1,IoU=0.113.25—Unverified
2DenoiseLocR@1,IoU=0.111.59—Unverified