# Cross-Modal-Hashing-Retrieval

**Repository Path**: dandelion-young/Cross-Modal-Hashing-Retrieval

## Basic Information

- **Project Name**: Cross-Modal-Hashing-Retrieval
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-08-10
- **Last Updated**: 2024-08-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Cross-Modal-Hashing-Retrieval
The baselines of cross-modal hashing retrieval.

## 1. Use

Each shallow method contains 'code/', 'result/' and 'train.sh'.

(1) **"code/"** The source codes folder.

(2) **"result/"** The result folder and the testing results will be recorded in file with the suffix of '.txt'.

(3) **"train.sh"** The training script. The 'dataname' and 'hash bits' will be changed here.

Dataset Link:

    Baidu Yun Link: https://pan.baidu.com/s/1QnC4ZyvjKOakKtUR9Cqd4A
    Code: 6fb3
    
Pre-trained model link:
    Baidu Yun Link:https://pan.baidu.com/s/1fJm8t9-YoSJ-4wSRv7ugxA 
    Code: 6fb3 
    
## 2. Reference

**BATCH:**
    
    Paper: 
    Code: 

**CCQ:**
    
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**CMFH:**
    
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**CVH:**
    
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**DCH:**
    
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**DCHUC:**
    
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**DCMH:**
    
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    Code: 

**DJSRH:**
    
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**DLFH:**
    
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**IMH:**
    
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**JDSH:**
    
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**LEMON:**
    
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**LSSH:**
    
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**SCM:**
    
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**SCRATCH:**
    
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**SMFH:**
    
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**SSAH:**
    
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**STMH:**
    
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**SePH:**
    
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## 3. TODO

## 4. Contact us

If you have any question, you can raise an issue or send email to us.