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A CLIP-Enhanced Method for Video-Language Understanding

arXiv 2110.07137 ↗First posted 14 Oct 2021cs.CV cs.CLcited by 6

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Abstract (arXiv)

This technical report summarizes our method for the Video-And-Language Understanding Evaluation (VALUE) challenge (https://value-benchmark.github.io/challenge2021.html). We propose a CLIP-Enhanced method to incorporate the image-text pretrained knowledge into downstream video-text tasks. Combined with several other improved designs, our method outperforms the state-of-the-art by 2.4% (57.58 to 60.00) Meta-Ave score on VALUE benchmark.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 13 of its 13 references that are in the map. First posted on arXiv 14 Oct 2021.

Builds on

13 of 13 references.

References · 13

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2021Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrievalcited by 1,175
  4. 2019HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clipscited by 946
  5. 2019VideoBERT: A Joint Model for Video and Language Representation Learningcited by 702
  6. 2021CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrievalcited by 645
  7. 2021Less is More: ClipBERT for Video-and-Language Learning via Sparse Samplingcited by 484
  8. 2020HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingcited by 362
  9. 2020ActBERT: Learning Global-Local Video-Text Representationscited by 267
  10. 2020UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generationcited by 258
  11. 2021CLIP2Video: Mastering Video-Text Retrieval via Image CLIPcited by 223
  12. 2021VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluationcited by 95
1 more
  1. 2021A Straightforward Framework For Video Retrieval Using CLIPcited by 66

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Cited by year

Citing papers per year: 2022: 4; 2023: 1; 2024: 0; 2025: 1.

6 papers.

  1. 2022i-Code: An Integrative and Composable Multimodal Learning Frameworkcited by 24
  2. 2022Phone2Proc: Bringing Robust Robots Into Our Chaotic Worldcited by 24
  3. 2022Vote'n'Rank: Revision of Benchmarking with Social Choice Theorycited by 15
  4. 2023Multimodal Subtask Graph Generation from Instructional Videoscited by 13
  5. 2022Multi-Query Video Retrievalcited by 11
  6. 2025CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illuminationcited by 0