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
End-to-End Dense Video Grounding via Parallel Regression—0
On Pursuit of Designing Multi-modal Transformer for Video Grounding—0
EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation—0
Support-Set Based Cross-Supervision for Video Grounding—0
Interventional Video Grounding with Dual Contrastive LearningCode0
Augmented 2D-TAN: A Two-stage Approach for Human-centric Spatio-Temporal Video Grounding—0
Cascaded Prediction Network via Segment Tree for Temporal Video Grounding—0
Parallel Attention Network with Sequence Matching for Video Grounding—0
Cross-Modal learning for Audio-Visual Video ParsingCode0
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos—0
STVGBert: A Visual-Linguistic Transformer Based Framework for Spatio-Temporal Video Grounding—0
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding—0
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses—0
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in VideosCode0
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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