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Video Recognition

22 papers with code · Computer Vision
Subtask of Video

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Latest papers with code

Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework

6 Aug 2020BestJuly/Inter-intra-video-contrastive-learning

With the proposed inter-intra contrastive framework, we can train spatio-temporal convolutional networks to learn video representations.

CONTRASTIVE LEARNING REPRESENTATION LEARNING VIDEO RECOGNITION VIDEO RETRIEVAL

8
06 Aug 2020

Adversarial Bipartite Graph Learning for Video Domain Adaptation

31 Jul 2020Luoyadan/MM2020_ABG

To further enhance the model capacity and testify the robustness of the proposed architecture on difficult transfer tasks, we extend our model to work in a semi-supervised setting using an additional video-level bipartite graph.

DOMAIN ADAPTATION VIDEO RECOGNITION

1
31 Jul 2020

CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition

20 Apr 2020villawang/CatNet

Egocentric gestures are the most natural form of communication for humans to interact with wearable devices such as VR/AR helmets and glasses.

GESTURE RECOGNITION VIDEO RECOGNITION

8
20 Apr 2020

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

10 Apr 2020kenshohara/3D-ResNets-PyTorch

Therefore, in the present paper, we conduct exploration study in order to improve spatiotemporal 3D CNNs as follows: (i) Recently proposed large-scale video datasets help improve spatiotemporal 3D CNNs in terms of video classification accuracy.

VIDEO CLASSIFICATION VIDEO RECOGNITION

2,350
10 Apr 2020

Improved Residual Networks for Image and Video Recognition

10 Apr 2020iduta/iresnet

We successfully train a 404-layer deep CNN on the ImageNet dataset and a 3002-layer network on CIFAR-10 and CIFAR-100, while the baseline is not able to converge at such extreme depths.

ACTION RECOGNITION IMAGE CLASSIFICATION OBJECT DETECTION VIDEO RECOGNITION

139
10 Apr 2020

Clean-Label Backdoor Attacks on Video Recognition Models

CVPR 2020 ShihaoZhaoZSH/Video-Backdoor-Attack

We propose the use of a universal adversarial trigger as the backdoor trigger to attack video recognition models, a situation where backdoor attacks are likely to be challenged by the above 4 strict conditions.

IMAGE CLASSIFICATION VIDEO RECOGNITION

15
06 Mar 2020

Flickering Adversarial Attacks against Video Recognition Networks

12 Feb 2020roipony/Patternless_Adversarial_Video

In this work we present a manipulation scheme for fooling video classifiers by introducing a flickering temporal perturbation that is practically unnoticeable by human observers and is implementable in the real world.

ACTION CLASSIFICATION ACTION CLASSIFICATION IMAGE CLASSIFICATION OPTICAL FLOW ESTIMATION VIDEO CLASSIFICATION VIDEO RECOGNITION

0
12 Feb 2020

Heuristic Black-box Adversarial Attacks on Video Recognition Models

21 Nov 2019zhipeng-wei/Heuristic_black_box_adversarial_attack_on_video_recognition_models

To overcome this challenge, we propose a heuristic black-box attack model that generates adversarial perturbations only on the selected frames and regions.

ADVERSARIAL ATTACK VIDEO RECOGNITION

1
21 Nov 2019

Sequence Level Semantics Aggregation for Video Object Detection

ICCV 2019 happywu/Sequence-Level-Semantics-Aggregation

In this work, we argue that aggregating features in the full-sequence level will lead to more discriminative and robust features for video object detection.

VIDEO OBJECT DETECTION VIDEO RECOGNITION

52
15 Jul 2019