https://github.com/KuofengGao/CIBA
공식 코드Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning
Papers with Code 아카이브
Deep Hashing
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Lu-Feng/SelaVPR
공식 코드SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition
https://github.com/MLEnthusiast/MHCLN
공식 코드Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images
https://github.com/PengBoXiangShang/EdgeMap345C_Dataset
공식 코드On Learning Semantic Representations for Million-Scale Free-Hand Sketches
https://github.com/SWU-CS-MediaLab/SADH
공식 코드Self-supervised asymmetric deep hashing with margin-scalable constraint
https://github.com/Tree-Shu-Zhao/KALAHash.pytorch
공식 코드KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
https://github.com/cgcl-codes/badhash
공식 코드BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
https://github.com/donnotnormal/dcgh
공식 코드Deep Class-guided Hashing for Multi-label Cross-modal Retrieval
https://github.com/fjssharpsword/ASH
공식 코드Attention-based Saliency Hashing for Ophthalmic Image Retrieval
https://github.com/fjssharpsword/ATH
공식 코드Deep Triplet Hashing Network for Case-based Medical Image Retrieval
https://github.com/gimpong/AAAI22-MeCoQ
공식 코드Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
https://github.com/hemanthdv/da-hash
공식 코드https://github.com/hly1998/nhl
공식 코드A Flexible Plug-and-Play Module for Generating Variable-Length
https://github.com/htconquer/BGAN
공식 코드https://github.com/htconquer/ddh
공식 코드https://github.com/jerryxu0129/hhf
공식 코드HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
https://github.com/jerryxu0129/hyp2-loss
공식 코드HyP$^2$ Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval
https://github.com/jiawangbai/DHTA-master
공식 코드https://github.com/jjmachan/DeepHash
공식 코드https://github.com/kamwoh/orthohash
공식 코드One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
https://github.com/kamwoh/sdc
공식 코드Unsupervised Hashing with Similarity Distribution Calibration
https://github.com/kevinlin311tw/Caffe-DeepBinaryCode
공식 코드Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks
https://github.com/liyunqianggyn/Deep-Unsupervised-Image-Hashing
공식 코드https://github.com/lucas-schwengber/h2q
공식 코드https://github.com/mzhang367/dcwh
공식 코드Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss
https://github.com/mzhang367/hpdh
공식 코드Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval
https://github.com/mzhang367/opqn
공식 코드Orthonormal Product Quantization Network for Scalable Face Image Retrieval
https://github.com/netease-media/csce-net
공식 코드Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding
https://github.com/pectinid16/IDHN
공식 코드Improved Deep Hashing with Soft Pairwise Similarity for Multi-label Image Retrieval
https://github.com/rakutentech/hq
공식 코드Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization
https://github.com/research2020-1/DSTDH
공식 코드Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval
https://github.com/shivram1987/visiontransformerhashing
공식 코드https://github.com/shuaichaochao/hybridhash
공식 코드HybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for Image Retrieval
https://github.com/thuml/DPH
공식 코드https://github.com/umr-ds/elastichash
공식 코드ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch
https://github.com/wallace-chen/tbh
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.