Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Contrastive masked autoencoders for self-supervised video hashing
Abstract Self-Supervised Video Hashing (SSVH) models learn to generate short binary
representations for videos without ground-truth supervision, facilitating large-scale video …
representations for videos without ground-truth supervision, facilitating large-scale video …
SEMICON: A learning-to-hash solution for large-scale fine-grained image retrieval
In this paper, we propose S uppression-E nhancing M ask based attention and I nteractive C
hannel transformati ON (SEMICON) to learn binary hash codes for dealing with large-scale …
hannel transformati ON (SEMICON) to learn binary hash codes for dealing with large-scale …
Deep global semantic structure-preserving hashing via corrective triplet loss for remote sensing image retrieval
With the explosive increase of remote sensing data, how to search for remote sensing data
quickly and accurately in a vast dataset is an incredibly critical matter for research subjects …
quickly and accurately in a vast dataset is an incredibly critical matter for research subjects …
Logit variated product quantization based on parts interaction and metric learning with knowledge distillation for fine-grained image retrieval
Image retrieval with fine-grained categories is an extremely challenging task due to the high
intraclass variance and low interclass variance. Most previous works have focused on …
intraclass variance and low interclass variance. Most previous works have focused on …
Implementation Of The Swin Transformer and Its Application In Image Classification
Implementation Of The Swin Transformer and Its Application In Image Classification Page 1
Rasha. A. Dihin, Ebtesam N. Al Shemmary, Waleed Ameen Al Jawher, 2023. Implementation …
Rasha. A. Dihin, Ebtesam N. Al Shemmary, Waleed Ameen Al Jawher, 2023. Implementation …
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery
Existing fine-grained hashing methods typically lack code interpretability as they compute
hash code bits holistically using both global and local features. To address this limitation we …
hash code bits holistically using both global and local features. To address this limitation we …
ViTH-RFG: Vision transformer hashing with residual fuzzy generation for targeted attack in medical image retrieval
The rapid advancement of medical technology has led to an exponential increase in the
volume of medical images. To optimize clinical practice, physicians often require efficient …
volume of medical images. To optimize clinical practice, physicians often require efficient …
[PDF][PDF] Hugs Are Better Than Handshakes: Unsupervised Cross-Modal Transformer Hashing with Multi-granularity Alignment.
The goal of unsupervised cross-modal hashing (UCMH) is to map different modalities into a
semantic-preserving hamming space without requiring label supervision. Existing deep …
semantic-preserving hamming space without requiring label supervision. Existing deep …
Hugs bring double benefits: Unsupervised cross-modal hashing with multi-granularity aligned transformers
Unsupervised cross-modal hashing (UCMH) has been commonly explored to support large-
scale cross-modal retrieval of unlabeled data. Despite promising progress, most existing …
scale cross-modal retrieval of unlabeled data. Despite promising progress, most existing …
Transitivity recovering decompositions: Interpretable and robust fine-grained relationships
Recent advances in fine-grained representation learning leverage local-to-global
(emergent) relationships for achieving state-of-the-art results. The relational representations …
(emergent) relationships for achieving state-of-the-art results. The relational representations …