Learning Video Representations using Contrastive Bidirectional Transformer
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Abstract (arXiv)
This paper proposes a self-supervised learning approach for video features that results in significantly improved performance on downstream tasks (such as video classification, captioning and segmentation) compared to existing methods. Our method extends the BERT model for text sequences to the case of sequences of real-valued feature vectors, by replacing the softmax loss with noise contrastive estimation (NCE). We also show how to learn representations from sequences of visual features and sequences of words derived from ASR (automatic speech recognition), and show that such cross-modal training (when possible) helps even more.
Key facts. Cited by 39 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Jun 2019.
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Citing papers per year: 2021: 25; 2022: 8; 2023: 2; 2024: 2; 2025: 1; 2026: 1.
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- 2021VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understandingcited by 602
- 2022Masked Autoencoders As Spatiotemporal Learnerscited by 429
- 2021Unifying Vision-and-Language Tasks via Text Generationcited by 412
- 2021MERLOT: Multimodal Neural Script Knowledge Modelscited by 311
- 2021Keeping Your Eye on the Ball: Trajectory Attention in Video Transformerscited by 224
- 2021A Large-Scale Study on Unsupervised Spatiotemporal Representation Learningcited by 214
- 2021Anticipative Video Transformercited by 200
- 2021Scaling Up Vision-Language Pre-training for Image Captioningcited by 196
- 2022Pretrained Language Models for Text Generation: A Surveycited by 122
- 2021VLM: Task-agnostic Video-Language Model Pre-training for Video Understandingcited by 102
- 2021Pretrained Language Models for Text Generation: A Surveycited by 95
- 2021Divide and Contrast: Self-supervised Learning from Uncurated Datacited by 85
27 more
- 2021Robust Audio-Visual Instance Discriminationcited by 80
- 2022Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-trainingcited by 72
- 2022Video Transformers: A Surveycited by 63
- 2021Learning the Predictability of the Futurecited by 49
- 2021Playing Lottery Tickets with Vision and Languagecited by 45
- 2021Representation Learning via Global Temporal Alignment and Cycle-Consistencycited by 44
- 2021Time-Equivariant Contrastive Video Representation Learningcited by 44
- 2021Space-Time Crop & Attend: Improving Cross-modal Video Representation Learningcited by 31
- 2022Learning to Answer Visual Questions from Web Videoscited by 30
- 2021Self-supervised object detection from audio-visual correspondencecited by 29
- 2021Which Mutual-Information Representation Learning Objectives are Sufficient for Control?cited by 29
- 2023Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipationcited by 21
- 2021Unsupervised Visual Representation Learning by Tracking Patches in Videocited by 20
- 2021Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videoscited by 18
- 2021GEM: A General Evaluation Benchmark for Multimodal Taskscited by 16
- 2022RepsNet: Combining Vision with Language for Automated Medical Reportscited by 14
- 2021Composable Augmentation Encoding for Video Representation Learningcited by 13
- 2024Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learningcited by 12
- 2021MaCLR: Motion-aware Contrastive Learning of Representations for Videoscited by 10
- 2021Contrastive Learning of Global-Local Video Representationscited by 6
- 2024Learning text-to-video retrieval from image captioningcited by 6
- 2022End-to-End Multimodal Representation Learning for Video Dialogcited by 5
- 2022DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attentioncited by 4
- 2021InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Groupingcited by 1
- 2023Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videoscited by 0
- 2025Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learningcited by 0
- 2026CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Modelscited by 0
- 2026CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models5 Aug 2026
- 2025Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning31 May 2025
- 2024Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning7 Aug 2024
- 2024Learning text-to-video retrieval from image captioning26 Apr 2024
- 2023Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos13 Mar 2023
- 2023Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation22 Jan 2023
- 2022DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention28 Oct 2022
- 2022End-to-End Multimodal Representation Learning for Video Dialog26 Oct 2022
- 2022Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training14 Oct 2022
- 2022RepsNet: Combining Vision with Language for Automated Medical Reports27 Sep 2022
- 2022Masked Autoencoders As Spatiotemporal Learners18 May 2022
- 2022Learning to Answer Visual Questions from Web Videos10 May 2022
27 more
- 2022Video Transformers: A Survey16 Jan 2022
- 2022Pretrained Language Models for Text Generation: A Survey14 Jan 2022
- 2021Time-Equivariant Contrastive Video Representation Learning7 Dec 2021
- 2021Scaling Up Vision-Language Pre-training for Image Captioning24 Nov 2021
- 2021Look at What I'm Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos20 Oct 2021
- 2021VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding28 Sep 2021
- 2021GEM: A General Evaluation Benchmark for Multimodal Tasks18 Jun 2021
- 2021MaCLR: Motion-aware Contrastive Learning of Representations for Videos17 Jun 2021
- 2021Which Mutual-Information Representation Learning Objectives are Sufficient for Control?14 Jun 2021
- 2021InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping13 Jun 2021
- 2021Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers9 Jun 2021
- 2021MERLOT: Multimodal Neural Script Knowledge Models4 Jun 2021
- 2021Anticipative Video Transformer3 Jun 2021
- 2021Pretrained Language Models for Text Generation: A Survey21 May 2021
- 2021VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding20 May 2021
- 2021Divide and Contrast: Self-supervised Learning from Uncurated Data17 May 2021
- 2021Representation Learning via Global Temporal Alignment and Cycle-Consistency11 May 2021
- 2021Unsupervised Visual Representation Learning by Tracking Patches in Video6 May 2021
- 2021A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning29 Apr 2021
- 2021Playing Lottery Tickets with Vision and Language23 Apr 2021
- 2021Self-supervised object detection from audio-visual correspondence13 Apr 2021
- 2021Contrastive Learning of Global-Local Video Representations7 Apr 2021
- 2021Composable Augmentation Encoding for Video Representation Learning1 Apr 2021
- 2021Robust Audio-Visual Instance Discrimination29 Mar 2021
- 2021Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning18 Mar 2021
- 2021Unifying Vision-and-Language Tasks via Text Generation4 Feb 2021
- 2021Learning the Predictability of the Future1 Jan 2021
- 2021VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understandingcited by 602
- 2022Masked Autoencoders As Spatiotemporal Learnerscited by 429
- 2021Unifying Vision-and-Language Tasks via Text Generationcited by 412
- 2021MERLOT: Multimodal Neural Script Knowledge Modelscited by 311
- 2021Keeping Your Eye on the Ball: Trajectory Attention in Video Transformerscited by 224
- 2021A Large-Scale Study on Unsupervised Spatiotemporal Representation Learningcited by 214
- 2021Anticipative Video Transformercited by 200
- 2022Pretrained Language Models for Text Generation: A Surveycited by 122
- 2021VLM: Task-agnostic Video-Language Model Pre-training for Video Understandingcited by 102
- 2021Pretrained Language Models for Text Generation: A Surveycited by 95
- 2021Divide and Contrast: Self-supervised Learning from Uncurated Datacited by 85
- 2021Robust Audio-Visual Instance Discriminationcited by 80
12 most cited of 36 All 36 (JSON)
- 2026CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models5 Aug 2026
- 2024Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning7 Aug 2024
- 2024Learning text-to-video retrieval from image captioning26 Apr 2024
- 2023Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos13 Mar 2023
- 2023Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation22 Jan 2023
- 2022DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention28 Oct 2022
- 2022End-to-End Multimodal Representation Learning for Video Dialog26 Oct 2022
- 2022RepsNet: Combining Vision with Language for Automated Medical Reports27 Sep 2022
- 2022Masked Autoencoders As Spatiotemporal Learners18 May 2022
- 2022Learning to Answer Visual Questions from Web Videos10 May 2022
- 2022Video Transformers: A Survey16 Jan 2022
- 2022Pretrained Language Models for Text Generation: A Survey14 Jan 2022
12 newest of 36 All 36 (JSON)