A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization
[article]
2020
arXiv
pre-print
Preserved Fulltext
Other Versions
In this work, we argue that learning only an objectness function is a weak form of knowledge transfer and propose to learn a classwise pairwise similarity function that directly compares two input proposals ...
For instance, in the ILSVRC dataset, the Correct Localization (CorLoc) performance improves from 72.8% to 78.2% which is a new state-of-the-art for WSOL task in the context of knowledge transfer. ...
We gratefully express our gratitude to Judy Hoffman for her advice on improving the experiments. We also thank the anonymous reviewers for their helpful comments to improve the paper. ...
arXiv:2003.08375v2
fatcat:4jmfxg7krjcsni7rlpn2euvuhy
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
., noisy labels for image classification, image labels for object detection, bounding boxes for segmentation), similar to the definitions in weakly supervised learning. ...
Therefore, weak-shot learning can also be treated as weakly supervised learning with auxiliary fully supervised categories. ...
Despite the similarity in the sense of transferring knowledge from fully-annotated data to weakly-annotated data, weak-shot learning involves cross-category knowledge transfer, which is much more challenging ...
arXiv:2110.02651v2
fatcat:hvvniqgukrdktmu4vjj6fefuqq
Localizing Objects While Learning Their Appearance
[chapter]
2010
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Furthermore, our method enables to train any state-of-the-art object detector in a weakly supervised fashion, although it would normally require object location annotations. ...
Our approach simultaneously localizes object instances while learning an appearance model specific for the class. We demonstrate this on the challenging Pascal VOC 2007 dataset. ...
Initially
Images with cars Images with localized cars Training a fully supervised detector Weakly Supervised Learning Weakly Supervised Learning Generic knowledge from other classes e.g. ...
doi:10.1007/978-3-642-15561-1_33
fatcat:ub6xww6bv5a5pfqs3nkmipjdwa
Weakly Supervised Localization and Learning with Generic Knowledge
2012
International Journal of Computer Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This shows that objectness is a powerful source of generic knowledge, which greatly helps localizing objects in weakly supervised images. ...
weakly supervised learning of object classes. ...
doi:10.1007/s11263-012-0538-3
fatcat:agyvaorj3jh6thxu453njpp5fa
Learning to Find Common Objects Across Few Image Collections
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2019 pre-print arXiv:1904.12936v1 fatcat:cgsjkyf4bjavbo2kw3bz2w2hvm
Furthermore, we propose a fast greedy inference algorithm for energy minimization. We evaluate our approach on few-shot common object recognition as well as object co-localization tasks. ...
Our experiments show that learning the pairwise and unary terms greatly improves the performance of the model over several well-known methods for these tasks. ...
[32] propose a method to transfer knowledge from a set of familiar objects to localize new objects in a collection of weakly supervised images. ...
arXiv:1904.12936v2
fatcat:we4mbmlbfrhchihxddobk3borq
Weakly Supervised Object Co-Localization via Sharing Parts Based on a Joint Bayesian Model
2018
Symmetry
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
To address this issue, we present a novel joint Bayesian model for weakly-supervised object localization. ...
The differences compared to previous discriminative methods are evaluated in three aspects: (1) We co-localize the similar object per class through transferring shared parts, which are pooling by modeling ...
Related Work Weakly Supervised Object Localization. ...
doi:10.3390/sym10050142
fatcat:uco5irnwnbb7hh5f3g5zqt4zcm
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Moreover, the semantic similarity between objects learned from base categories is transferred to denoise the pseudo full annotations for novel categories. ...
Previous works using mixed supervision mainly learn the class-agnostic objectness from fully-annotated categories, which can be transferred to upgrade the weak annotations to pseudo full annotations for ...
The pairwise features are fed into SimNet and the predicted similarity scores A are supervised by the ground-truth similarities Â. ...
arXiv:2110.14191v1
fatcat:6g5bl2ni7nbpfpisyiglkbacym
Unsupervised Transfer Learning with Self-Supervised Remedy
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Our method mitigates nontransferrable prior-knowledge by self-supervision, benefiting from both transfer and self-supervised learning. ...
Extensive experiments on four datasets for image clustering tasks reveal the superiority of our model over the state-of-the-art transfer clustering techniques. ...
There are other attempts at transferring knowledge across domains for achieving learning tasks that are similar to transfer clustering. ...
arXiv:2006.04737v1
fatcat:jivttxerg5chhaxo4qdwvtokiq
Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Extensive experiments on ActivityNet-Caption dataset reveal the significance of distillation-based event proposal generation and cross-modal retrieval-based semantic matching to weakly supervised DVC, ...
This paper proposes an approach to Dense Video Captioning (DVC) without pairwise event-sentence annotation. ...
teacher networks designed for similar tasks. ...
arXiv:2105.08252v1
fatcat:cgoqkex2szb6xbano66ivqkn24
Optimization Methods for Evaluating PEV Charging Considering Customer Behavior
2018
2018 IEEE Power & Energy Society General Meeting (PESGM)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
To address this issue, we present a novel joint Bayesian model for weakly-supervised object localization. ...
The differences compared to previous discriminative methods are evaluated in three aspects: (1) We co-localize the similar object per class through transferring shared parts, which are pooling by modeling ...
Related Work Weakly Supervised Object Localization. ...
doi:10.1109/pesgm.2018.8586401
fatcat:fk2dywywpfhipegjwwaoqe2nl4
Unseen Object Segmentation in Videos via Transferable Representations
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The entire process is decomposed into two tasks: 1) solving a submodular function for selecting object-like segments, and 2) learning a CNN model with a transferable module for adapting seen categories ...
We present an iterative update scheme between two tasks to self-learn the final solution for object segmentation. ...
In addition, our method is flexible for the weakly-supervised learning setting, which cannot be achieved by the above approaches. Object Segmentation in Weakly-supervised Videos. ...
arXiv:1901.02444v1
fatcat:bkg2fmito5dqdfuq7e7u6bgq4u
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Recently, increasing efforts have been focused on Weakly Supervised Scene Graph Generation (WSSGG). ...
Hence, in this paper, we propose to enhance a simple grounding module with both object-aware and interaction-aware knowledge to acquire more reliable pseudo labels. ...
the National Natural Science Foundation of China (U19B2043, 61976185), Zhejiang Natural Science Foundation (LR19F020002), Zhejiang Innovation Foundation (2019R52002), and the Fundamental Research Funds for ...
arXiv:2208.01834v1
fatcat:gbdmhnbwhjhovppeynfnhz7aaq
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Our best model achieves 37.9% AP on COCO instance segmentation, surpassing prior weakly supervised methods and is competitive to supervised methods. ...
We also obtain state of the art weakly supervised results on PASCAL VOC12 and PF-PASCAL with real-time inference. ...
During training, the model will retrieve pairwise images, we find all combinations of intra-class ob-
similar intra-class objects from the object bank. ...
arXiv:2105.06464v2
fatcat:wr5iyiqvivb3novhhkgxwk6mv4
Deep Image Category Discovery using a Transferred Similarity Function
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Such binary constraints can be learned from datasets in other domains as transferred similarity functions, which mimic a simple knowledge transfer. ...
In this paper, we similarly utilize prior knowledge to facilitate the discovery of image categories. ...
This ability in human learning motivates us to think about the following problem: how can we discover new object categories and structures in unlabeled data by weakly transferring knowledge from other ...
arXiv:1612.01253v1
fatcat:pfa6huoo6vgtlc35yc6y6uv5ay
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
of supervision is used. ...
instances each from a different object class. ...
They found that CNN features perform on par with hand-crafted alternatives such as SIFT for the weakly-supervised keypoint transfer problems, and can outperform them when keypoint supervision is available ...
doi:10.1109/cvpr.2017.306
dblp:conf/cvpr/NovotnyLV17
fatcat:4xivgkrkyjeqnpwxt3j3rthnc4
« Previous
Showing results 1 — 15 out of 2,666 results