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 5175 of 114 papers

TitleStatusHype
Can I Trust Your Answer? Visually Grounded Video Question AnsweringCode1
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection0
Knowing Where to Focus: Event-aware Transformer for Video GroundingCode1
ViGT: Proposal-free Video Grounding with Learnable Token in Transformer0
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory0
No-frills Temporal Video Grounding: Multi-Scale Neighboring Attention and Zoom-in Boundary Detection0
Dense Video Object Captioning from Disjoint SupervisionCode0
Boundary-Denoising for Video Activity LocalizationCode0
Query-Dependent Video Representation for Moment Retrieval and Highlight DetectionCode2
Generation-Guided Multi-Level Unified Network for Video Grounding0
Text-Visual Prompting for Efficient 2D Temporal Video GroundingCode1
Localizing Moments in Long Video Via Multimodal GuidanceCode1
MINOTAUR: Multi-task Video Grounding From Multimodal QueriesCode0
Exploiting Auxiliary Caption for Video Grounding0
WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding0
Iterative Proposal Refinement for Weakly-Supervised Video Grounding0
Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding0
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-LanguageCode0
Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding0
A Simple Transformer-Based Model for Ego4D Natural Language Queries ChallengeCode0
Language-free Training for Zero-shot Video Grounding0
Weakly-Supervised Temporal Article GroundingCode1
Graph2Vid: Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization0
On the Effects of Video Grounding on Language Models0
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video GroundingCode1
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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