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Deep Hashing
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Clean Image May be Dangerous: Data Poisoning Attacks Against Deep Hashing
SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition
ScNeuGM: Scalable Neural Graph Modeling for Coloring-Based Contention and Interference Management in Wi-Fi 7
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
A Flexible Plug-and-Play Module for Generating Variable-Length
Deep Class-guided Hashing for Multi-label Cross-modal Retrieval
HybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for Image Retrieval
Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval
Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval
Deep Hashing via Householder Quantization
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
Deep supervised hashing for fast retrieval of radio image cubes
Supervised Auto-Encoding Twin-Bottleneck Hashing
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval
Unsupervised Hashing with Similarity Distribution Calibration
Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding
Satellite Image Search in AgoraEO
HyP$^2$ Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing
FedHAP: Federated Hashing with Global Prototypes for Cross-silo Retrieval
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval
Accelerating Code Search with Deep Hashing and Code Classification
Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization
Learning to Hash Naturally Sorts
Asymmetric Hash Code Learning for Remote Sensing Image Retrieval
Hard Example Guided Hashing for Image Retrieval
Deep Hash Distillation for Image Retrieval
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification
HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.