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Dataset of Fake News Detection and Fact Verification: A Survey
[article]
2021
arXiv
pre-print
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We surveyed 118 datasets related to fake news research on a large scale from three perspectives: (1) fake news detection, (2) fact verification, and (3) other tasks; for example, the analysis of fake news ...
The resources for these studies are mainly available as public datasets taken from Web data. ...
It is annotated using six fine-grained labels (true, mostly true, half true, mostly false, false, and pants on fire) and comprises 12,836 short statement claims from 2007 to 2016 along with information ...
arXiv:2111.03299v1
fatcat:noyhfssx7fe6rhsndcjosbi7oi
Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning
[article]
2021
arXiv
pre-print
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In the proposed approach, a coarse-grained phase selects the most relevant fine-grained experts. ...
Extensive experimental evaluations are conducted on various public human action recognition datasets, including Stanford40, Pascal VOC 2012 Action, BU101+, and IHAR datasets. ...
Finally, FGC determines human action recognition classes.
3.1. Fine-grained Phase
Figure 2 (a) depicts the entire architecture of FGC in the fine-grained clas-
sification phase. ...
arXiv:2112.07015v1
fatcat:goyyprh6ibbn3iskpnw7nllyqi
Methods for Efficiently Constructing Text-dialogue-agent System using Existing Anime Characters
2021
Journal of Information Processing
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We also propose a new utterance generation method that uses a neural translation model with the collected data. ...
We created a text-dialogue agent system of a popular existing anime character using our proposed generation methods. ...
Although certain aspects of personality can be converted on the basis of the Big-5, such dimensions are too broad and rough when agents need to generate fine-grained answers related to their personality ...
doi:10.2197/ipsjjip.29.30
fatcat:nphvvtz7uzh5zmm7pnw33wtqnq
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos
[article]
2020
arXiv
pre-print
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to predict every action of a procedure in a structured form. ...
However, it provides only an indirect, overall evaluation of multimodal models with no finer-grained quantitative measure of what they have learned. ...
However, this dataset does not contain more fine-grained annotations in a structured form. • HowTo100M 10 (Miech et al., 2019). ...
arXiv:2005.00706v2
fatcat:udatzb5i35e5voc2dtub44zoli
Motion-aware Contrastive Video Representation Learning via Foreground-background Merging
[article]
2022
arXiv
pre-print
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Such bias makes the model suffer from weak generalization ability, leading to worse performance on downstream tasks such as action recognition. ...
When naively pulling two augmented views of a video closer, the model however tends to learn the common static background as a shortcut but fails to capture the motion information, a phenomenon dubbed ...
Besides common action recognition benchmarks, we finetune and test our FAME on a more challenging fine-grained dataset Diving48 and report the results in Table 2 . ...
arXiv:2109.15130v3
fatcat:qy2voj5fxfbl3dla7svjpp54l4
Large-Scale Automatic Labeling of Video Events with Verbs Based on Event-Participant Interaction
[article]
2012
arXiv
pre-print
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away all object-class information and fine-grained image characteristics, and relying solely on the coarse-grained motion of the event participants. ...
This indicates that successful event recognition depends more on the choice of appropriate features that characterize the linguistic invariants of the event classes than on the particular classifier algorithms ...
The event classes side and jack in the WEIZMANN dataset, the event classes Swing-Bench and Swing-SideAngle in the SPORTS ACTIONS dataset, and the vast majority of the event classes in the UCF50 dataset ...
arXiv:1204.3616v1
fatcat:rbdclkvncvg2tdbtx35unodps4
Learning Neural Textual Representations for Citation Recommendation
2021
2020 25th International Conference on Pattern Recognition (ICPR)
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Fine-Grained Dataset and Its Efficient Semantic Segmentation for
Unstructured Driving Scenarios
DAY 2 -Jan 13, 2021
S, Anupama; Shedligeri, Prasan;
Pal, Abhishek; Mitr, Kaushik
2186
Video Reconstruction ...
CH4.2
Bag of freebies for fine-grained product recognition
Day date
Session
code
Session type Presentation
mode
Session
start time
Session end
time
Session chair/authors
Paper id Also ...
doi:10.1109/icpr48806.2021.9412725
fatcat:3vge2tpd2zf7jcv5btcixnaikm
Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning
[article]
2021
pre-print
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Furthermore, to fairly compare different models, we establish specific benchmark protocols on two large-scale fine-grained action recognition datasets. ...
Therefore, we propose the few-shot fine-grained action recognition problem, aiming to recognize novel fine-grained actions with only few samples given for each class. ...
proposed large-scale fine-grained action datasets, i.e. ...
doi:10.1145/3474085.3475216
arXiv:2108.06647v1
fatcat:vqgnlnojwzabpk7fqcmwfadtuu
Animating Arbitrary Objects via Deep Motion Transfer
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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We demonstrate the effectiveness of our method on several benchmark datasets, spanning a wide variety of object appearances, and show that our approach outperforms stateof-the-art image animation and video ...
Given an input image with a target object and a driving video sequence depicting a moving object, our framework generates a video in which the target object is animated according to the driving sequence ...
Similarly to the keypoint and the generator network, the use of U-Net architecture is motivated by the need of fine-grained details. ...
doi:10.1109/cvpr.2019.00248
dblp:conf/cvpr/SiarohinLT0S19
fatcat:quvi2lioefd3jlmaczmfgfd634
Maintaining Common Ground in Dynamic Environments
2021
Transactions of the Association for Computational Linguistics
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Based on our minimal task formulation, we collected a large-scale dataset of 5,617 dialogues to enable fine-grained evaluation and analysis of various dialogue systems. ...
Through our dataset analyses, we highlight novel challenges introduced in our setting, such as the usage of complex spatio-temporal expressions to create and maintain common ground. ...
Acknowledgments We are grateful to our action editor, Michel Galley, and the three anonymous reviewers for ...
doi:10.1162/tacl_a_00409
fatcat:ifrzbkqcfra6zcd56cuhhotdpe
Table of Contents
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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cial Intelligence, University of Chinese Academy of Sciences)
FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding 2613DianShao (CUHK-SenseTime Joint Lab, The Chinese University ...
and Evaluation Google Landmarks Dataset v2 -A Large-Scale Benchmark for Instance-Level Recognition and Retrieval 2572 Tobias Weyand (Google Research, USA) , André Araujo (Google Research, USA) , Bingyi ...
doi:10.1109/cvpr42600.2020.00004
fatcat:c7els2kee5cq7lh6cemeqhdcoa
Proceedings of the 79th Annual Meeting of the Japanese Society for Animal Psychology
2019
Japanese Journal of Animal Psychology
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Five sizes of grains were tested with a paired comparison method. ...
We conducted a social preference test and a social recognition test. ...
doi:10.2502/janip.69.3.4
fatcat:kqmbiqmcdjh2nchj6iwj45yakm
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations
2021
Findings of the Association for Computational Linguistics: EMNLP 2021
unpublished
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Specifically, we use a self-matching
module for internal utterance-knowledge inter- Unlike vanilla emotion recognition of sentences,
action. ...
which to the token “cheap”, the model manages to label
will shift the fine-grained emotions corresponding the utterance “Angry”, which is also ...
doi:10.18653/v1/2021.findings-emnlp.245
fatcat:fh44kc76ovcb3jw4uedluhjnzi
Proceedings of the 74th Annual Meeting of the Japanese Society for Animal Psychology
日本動物心理学会第74回大会発表要旨
2014
Japanese Journal of Animal Psychology
日本動物心理学会第74回大会発表要旨
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Grain weight (g) and energy per grain (kcal) of each grain were as follows: soybean (0.240g, 0.847kcal), corn (0.161g, 0.564kcal), mixed feed (0.070g, 0.251kcal), safflower (0.053g, 0.222kcal) and sorghum ...
By inserting fine optic fibers into the DRN, we delivered yellow light into the DRN during aggressive behavior. ...
In the training phase, the rats were required to go to a goal box from a start box in a lattice maze. There were 5 trials in a daily session. ...
doi:10.2502/janip.64.2.5
fatcat:daez5kvyinfgxa5ojyq4uiijce
Quantitative assessment of spatial sound distortion by the semi-ideal recording point of a hear-through device
2013
Journal of the Acoustical Society of America
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and grain size. ...
This dynamic system receives as inputs a target state and a set of parameters that tune the system to the desired action. ...
Luis A. ...
doi:10.1121/1.4805375
fatcat:u4bvxh6karet3avpjdhpfwqpf4
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