SOTAVerified

Video Retrieval

The objective of video retrieval is as follows: given a text query and a pool of candidate videos, select the video which corresponds to the text query. Typically, the videos are returned as a ranked list of candidates and scored via document retrieval metrics.

Papers

Showing 110 of 486 papers

TitleStatusHype
MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed0
Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval0
From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained VideosCode0
Leveraging Auxiliary Information in Text-to-Video Retrieval: A Review0
Learning World Models for Interactive Video Generation0
A Challenge to Build Neuro-Symbolic Video AgentsCode0
LoVR: A Benchmark for Long Video Retrieval in Multimodal ContextsCode1
Contrastive Alignment with Semantic Gap-Aware Corrections in Text-Video RetrievalCode0
Video-GPT via Next Clip DiffusionCode1
CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GRAMtext-to-video R@187.7Unverified
2GRAMtext-to-video R@183.9Unverified
3VASTtext-to-video R@183Unverified
4VALORtext-to-video R@178.5Unverified
5InternVideo2-6Btext-to-video R@175.5Unverified
6Unmasked Teachertext-to-video R@172Unverified
7InternVideo2-6Btext-to-video R@171.5Unverified
8InternVideotext-to-video R@171.1Unverified
9Side4Videotext-to-video R@168.8Unverified
10Cap4Videotext-to-video R@166.6Unverified