About
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.
Benchmarks
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Subtasks
Datasets
Greatest papers with code
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
• Hangz-nju-cuhk/Talking-Face-Generation-DAVS
• 
Talking face generation aims to synthesize a sequence of face images that correspond to a clip of speech.
Deep Hashing with Category Mask for Fast Video Retrieval
This paper proposes an end-to-end deep hashing framework with category mask for fast video retrieval.
ECO: Efficient Convolutional Network for Online Video Understanding
ECCV 2018
• mzolfaghari/ECO-efficient-video-understanding
•
In this paper, we introduce a network architecture that takes long-term content into account and enables fast per-video processing at the same time.
Ranked #28 on
Action Recognition
on Something-Something V1
(using extra training data)
ACTION CLASSIFICATION ACTION CLASSIFICATION ACTION RECOGNITION VIDEO CAPTIONING VIDEO RETRIEVAL VIDEO UNDERSTANDING
Self-supervised Co-training for Video Representation Learning
NeurIPS 2020
• TengdaHan/CoCLR
•
The objective of this paper is visual-only self-supervised video representation learning.
ACTION RECOGNITION OPTICAL FLOW ESTIMATION REPRESENTATION LEARNING VIDEO RETRIEVAL
Person Search in Videos with One Portrait Through Visual and Temporal Links
ECCV 2018
• hqqasw/person-search-PPCC
•
In real-world applications, e. g. law enforcement and video retrieval, one often needs to search a certain person in long videos with just one portrait.
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
• albanie/collaborative-experts
•
This report summarizes the results of the first edition of the challenge together with the findings of the participants.
Use What You Have: Video Retrieval Using Representations From Collaborative Experts
• albanie/collaborative-experts
•
The rapid growth of video on the internet has made searching for video content using natural language queries a significant challenge.
Ranked #1 on
Video Retrieval
on DiDeMo
Dual Encoding for Zero-Example Video Retrieval
CVPR 2019
• danieljf24/dual_encoding
•
This paper attacks the challenging problem of zero-example video retrieval.
Memory-augmented Dense Predictive Coding for Video Representation Learning
ECCV 2020
• TengdaHan/MemDPC
•
The objective of this paper is self-supervised learning from video, in particular for representations for action recognition.
ACTION CLASSIFICATION ACTION CLASSIFICATION ACTION RECOGNITION OPTICAL FLOW ESTIMATION REPRESENTATION LEARNING SELF-SUPERVISED LEARNING VIDEO RETRIEVAL
Central Similarity Quantization for Efficient Image and Video Retrieval
CVPR 2020
• yuanli2333/Hadamard-Matrix-for-hashing
•
In this work, we propose a new \emph{global} similarity metric, termed as \emph{central similarity}, with which the hash codes of similar data pairs are encouraged to approach a common center and those for dissimilar pairs to converge to different centers, to improve hash learning efficiency and retrieval accuracy.