site stats

Rank-consistency multi-label deep hashing

WebbRANK-CONSISTENCY MULTI-LABEL DEEP HASHING.....211 Cheng Ma ; Zhixiang Chen ; Jiwen Lu ; Jie Zhou ADAPTIVE LAYERWISE QUANTIZATION FOR DEEP NEURAL NETWORK COMPRESSION ... MULTI-LABEL DILATED RECURRENT NETWORK FOR SEQUENTIAL FACE ALIGNMENT.....283 Tong Yang ; Shizheng Qin ; Junchi ...

CVPR2024_玖138的博客-CSDN博客

Webb7 jan. 2024 · In this paper, we presented a superior cross-modal hashing method named multi-label enhancement based self-supervised deep cross-modal hashing (MESDCH). … WebbOur model is learned under three constraints at the top layer of the deep network: 1) the loss between the original real-valued feature descriptor and the learned binary vector is minimized, 2) the binary codes distribute evenly on each bit, and 3) different bits are as independent as possible. mmc117 hose https://youin-ele.com

Rank-Consistency Deep Hashing for Scalable Multi-Label Image …

WebbIn this paper, we propose a rank-consistency deep hashing method (RCDH) to learn effective binary codes for scalable multi-label image retrieval by listwise supervision. … Webb2 feb. 2024 · As hashing becomes an increasingly appealing technique for large-scale image retrieval, multi-label hashing is also attracting more attention for the ability to … WebbCross-modal hashing retrieval approaches maps heterogeneous multi-modal data into a common hamming space to achieve efficient and flexible retrieval performance. However, existing cross-modal methods mainly exploit feature-level similarity between multi-modal data, the label-level similarity and relative ranking relationship between adjacent … mmc 4936 usf

Rank-Consistency Multi-Label Deep Hashing - researchgate.net

Category:Rank-Consistency Multi-Label Deep Hashing - Semantic Scholar

Tags:Rank-consistency multi-label deep hashing

Rank-consistency multi-label deep hashing

Rank-Consistency Multi-Label Deep Hashing Semantic Scholar

Webb1 juli 2024 · This paper proposes a novel deep hashing method for scalable multi-label image search that employs a rank list, rather than pairs or triplets, to provide sufficient … Webbods consider the high-order ranking information for hashing learning. For example, deep semantic ranking based hash-ing (Zhao et al. 2015) learns deep hash functions based on CNN (Convolutional neural network)(Krizhevsky, Sutskever, and Hinton 2012), which preserves the semantic structure of multi-label images. Simultaneous feature learning …

Rank-consistency multi-label deep hashing

Did you know?

WebbExtensive experiments on public multilabel datasets demonstrate that (1) LAH can achieve the state-of-the-art retrieval results and (2) the usage of co-occurrence relationship and … Webb1 juli 2024 · In this paper, we present a deep hashing method for multi-label image retrieval, which uses a rank list to provide global supervision information. Unlike most …

WebbDeep Rank Cross-Modal Hashing with Semantic Consistent for Image-Text Retrieval. Abstract: Cross-modal hashing retrieval approaches maps heterogeneous multi-modal … WebbIn this paper, a hashing method called Deep Adversarial Discrete Hashing (DADH) is proposed to address these issues for cross-modal retrieval. The proposed method uses adversarial training to learn features across modalities and ensure the distribution consistency of feature representations across modalities.

Webb8 mars 2024 · In this paper, a new deep hashing method is proposed for multi-label image retrieval by re-defining the pairwise similarity into an instance similarity, where the … WebbDeep Polarization Reconstruction with PDAVIS Events Haiyang Mei · Zuowen Wang · Xin Yang · Xiaopeng Wei · Tobi Delbruck Unsupervised space-time network for temporally-consistent segmentation of multiple motions Etienne Meunier · Patrick Bouthemy NeMo: Learning 3D Neural Motion Fields from Multiple Video Instances of the Same Action

Webb11 aug. 2024 · The existing multi-label image retrieval methods can be divided into two main categories: one is to use the region proposal module to extract foreground objects and generate multiple hash codes for a multi-lable image [13, 8, 22].The other is to consider the number of common labels of multi-label image as the metric of similarity …

WebbRank-Consistency Multi-Label Deep Hashing ICME 2024 ( Best Paper Award ) Cheng Ma, Zhixiang Chen, Jiwen Lu, Jie Zhou [Link] Nonlinear Discrete Hashing IEEE Transactions … mmc600isWebbDeep hashing methods have been intensively studied and successfully applied in massive fast image retrieval. However, inherited from the deficiency of deep neural networks, deep hashing models can be easily fooled by adversarial examples, which brings a serious security risk to hashing based retrieval. mmc07s1awwWebb11 aug. 2024 · A deep supervised hashing method for multi-label image retrieval is developed, in which it is proposed to learn a binary “mask” map that can identify the approximate locations of objects in an image, so that it can obtain length-limited hash codes which mainly focus on an image’s objects but ignore the background. 26 mmc-1gftlc.s10WebbTo address these issues, we propose a novel deep hashing method, termed multi-label hashing for dependency relations among multiple objectives (DRMH). ... [35] Ma C., Chen Z., Lu J., and Zhou J., “ Rank-consistency multi-label deep hashing,” in Proc. IEEE Int. Conf. Multimedia Expo., ... mmc 6400 section 901: media strategyWebb7 okt. 2024 · For multi-label image retrieval based on deep hashing, the ultimate challenge is to map from the original image to binary space while preserving high-level semantic … mmc act 1965WebbIn this paper, we propose an order-sensitive deep hashing for scalable medical image retrieval in the scenario of coexistence of multiple medical conditions. The pairwise similarity... mmc act 1949Webbfectively measured. Deep cross-modal hashing further im-proves the retrieval performance as the deep neural net-works can generate more semantic relevant features and hash codes. In this paper, we study the unsupervised deep cross-modal hash coding and propose Deep Joint-SemanticsReconstructingHashing(DJSRH),whichhasthe … mmc75a-3